Human clinical studies were used to validate that the signal intensity gradient (SIG) from TOF-MRA is a reliable indirect marker for velocity gradient, showing significant correlation with PC-MR data.
Validation; TOF-MRA; PC-MR; Signal Intensity Gradient; Velocity Gradient
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Retrospective human study (validation of marker correlation)
Human subjects undergoing TOF-MRA and PC-MR
PC-MR velocity gradient
Correlation between TOF-MRA signal intensity gradient (SIG) and PC-MR velocity gradient
Indications for Use
VINT is a software that allows for the viewing, post-processing, and quantitative evaluation of cerebrovascular MRI data (in DICOM-compliant format). It enables: - Importing DICOM-compliant MR Images. - Quantitative analysis of imported images. - Visualization and analysis of blood flow characteristics of cerebral arteries in MR images. - Advanced correction options such as offset correction, background phase correction, and anti-aliasing. - Data visualization as a graph or output as an image or numerical data. - Providing the right and left carotid and vertebral arteries wall signal intensity gradient (SIG), an image-based indirect marker for velocity gradient from TOF-MRA. VINT is intended for use with adult (22 years or more) populations who can undergo MRA.
Device Story
VINT is standalone software for processing, analyzing, and quantifying cerebrovascular MRI data (TOF-MRA). It imports DICOM-compliant images; performs 2D/3D visualization, segmentation, and quantitative analysis (arterial length, angle, radius, volume, and SIG). SIG is calculated as the difference in signal intensity between wall and inner-wall points, serving as an indirect marker for velocity gradient. The software provides heatmaps and numerical data tables. Used in radiology departments by trained professionals; operates locally without external data transmission. It assists clinicians in visualizing blood flow characteristics and supporting treatment decision-making. Benefits include non-invasive assessment of cerebral artery blood flow characteristics without contrast media.
Clinical Evidence
No clinical studies performed. Bench testing validated performance metrics (arterial length, volume) against predicate devices and confirmed correlation between TOF-MRA SIG and PC-MR velocity gradients using reference device data.
Technological Characteristics
Standalone software; DICOM 3.x compliant. Features 2D/3D viewing, semi-automatic segmentation (binary thresholding), and quantitative analysis. Algorithms include trilinear interpolation and coordinate transformation using DICOM tags (Image Position, Orientation, Pixel Spacing). Cybersecurity controls implemented per AAMI TIR57:2016. Software lifecycle managed per IEC 62304.
Indications for Use
Indicated for adult patients (22+ years) undergoing MRA for viewing, post-processing, and quantitative evaluation of cerebrovascular MRI data, including blood flow characteristics and signal intensity gradient (SIG) of carotid and vertebral arteries.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
Achieva, Ingenia, Ingenia CX, Ingenia Elition and Ingenia Ambition MR Systems (K213583)
Submission Summary (Full Text)
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Image /page/0/Picture/0 description: The image contains the logos of the Department of Health and Human Services and the Food and Drug Administration (FDA). The Department of Health and Human Services logo is on the left, and the FDA logo is on the right. The FDA logo includes the letters "FDA" in a blue square, followed by the words "U.S. Food & Drug Administration" in blue text.
October 15, 2024
Mediimg Corporation % Miso Choi Regulatory Affairs Specialist Mediguide. Inc. #410, Mcluster Bldg., 17, Deogan-ro 104beon-gil Gwangmyeong-si, Gyeonggi-do 14353 Korea, South
Re: K240385
Trade/Device Name: VINT Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: LLZ Dated: September 5, 2024 Received: September 5, 2024
Dear Miso Choi:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device"
{1}------------------------------------------------
(https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30. Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review. the OS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rue"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-device-advicecomprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
{2}------------------------------------------------
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
D
Daniel M. Krainak, Ph.D. Assistant Director Magnetic Resonance and Nuclear Medicine Team DHT8C: Division of Radiological Imaging and Radiation Therapy Devices OHT8: Office of Radiological Health Office of Product Evaluation and Ouality Center for Devices and Radiological Health
Enclosure
{3}------------------------------------------------
# Indications for Use
510(k) Number (if known) K240385
Device Name VINT
Indications for Use (Describe)
VINT is a software that allows for the viewing, post-processing, and quantitative evaluation of cerebrovascular MRI data (in DICOM-compliant format).
It enables:
- Importing DICOM-compliant MR Images.
- Quantitative analysis of imported images.
- Visualization and analysis of blood flow characteristics of cerebral arteries in MR images.
- Advanced correction options such as offset correction, background phase correction, and anti-aliasing.
- Data visualization as a graph or output as an image or numerical data.
- Providing the right and left carotid arteries wall signal intensity gradient (SIG), an image-based indirect marker for velocity gradient from TOF-MRA.
VINT is intended for use with adult (22 years or more) populations who can undergo MRA.
| Type of Use (Select one or both, as applicable) | <table><tr><td> Depurative Use (Part 21 CFR 201.Subpart D) </td><td> Cosmetic Use (Part 21 CFR 201.Subpart D) </td></tr></table> | Depurative Use (Part 21 CFR 201.Subpart D) | Cosmetic Use (Part 21 CFR 201.Subpart D) |
|-------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------|------------------------------------------|
| Depurative Use (Part 21 CFR 201.Subpart D) | Cosmetic Use (Part 21 CFR 201.Subpart D) | | |
> Prescription Use (Part 21 CFR 801 Subpart D)
| | Over-The-Counter Use (21 CFR 801 Subpart C)
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Image /page/4/Picture/0 description: The image shows a logo for MEDIIMG. The logo features a stylized letter "M" that is formed by two figures standing side-by-side. The figures have orange circles for heads and teal bodies. The text "MEDIIMG" is written in black below the logo.
Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea (13605) 510(k) Summary
K240385
September 5, 2024
#### Submitter Information & Contact Person 1.
| Name of Manufacturer | Mediimg Corp. |
|----------------------|-------------------------------------------------------------------------------------------------------------------|
| Address | Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si,<br>Gyeonggi-do, Republic of Korea (Zip : 13605) |
| Contact Name | Byeong-Uk Jeon / R&D manager |
| Telephone No. | +82-10-9011-9694 |
| Email Address | RND_jeon@mediimg.com |
#### 2. Trade Name, Common Name, Classification
Common name: Cerebrovascular imaging software Trade name: VINT
| Regulation Description | 21 CFR Section | Product Code |
|------------------------------------------------|----------------|--------------|
| Medical image management and processing system | 892.2050 | LLZ |
As stated in 21 CFR parts 892.2050, devices of this type have been classified as Class II.
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Image /page/5/Picture/0 description: The image shows a logo for MEDIIMG. The logo features a stylized letter 'M' in blue, with two orange circles above the two vertical lines of the 'M'. The word "MEDIIMG" is written in a sans-serif font below the symbol.
Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea (13605) Identification of Predicate Device
The identified predicate devices and reference device within this submission are shown as follow:
## Predicate device A
3.
| 510(k) Number | K172803 |
|-----------------|------------------------------------------------|
| Applicant | Infinitt Healthcare Co.,Ltd. |
| Regulation Name | Medical image management and processing system |
| Product code | LLZ |
| Device Name | Infinitt PACS 7.0 |
# Predicate device B
| 510(k) Number | K222854 |
|-----------------|------------------------------------------------|
| Applicant | Cardio Flow Design Inc. |
| Regulation Name | Medical image management and processing system |
| Product code | LLZ |
| Device Name | iTFlow |
# Reference device
| 510(k) Number | K213583 |
|-----------------|-------------------------------------------------------------------------------|
| Applicant | Philips Medical Systems Nederland B.V. |
| Regulation Name | Magnetic resonance diagnostic |
| Product code | LNH |
| Device Name | Achieva, Ingenia, Ingenia CX, Ingenia Elition and Ingenia Ambition MR Systems |
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image shows a logo for MEDIIMG. The logo features two stylized figures connected at the shoulders, forming a shape resembling the letter 'M'. The figures are colored with an orange gradient at the top, transitioning to a blue gradient at the bottom. Below the figures, the text "MEDIIMG" is written in a simple, sans-serif font.
Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea (13605)
## 4. Description of the Device
## 4.1. General description
VINT is a standalone medical software device designed for processing, analyzing, viewing, and quantifying cerebral artery MR images. The software is intended to visualize and quantify MRI data imported in DICOM format. The key functions of the VINT software are 2D and 3D viewing, multiphase series support, zoom, pan, window level, rotate, ROI Markers: Ability to create preset shapes or freehand ROI for measurements or segmentations, provide heatmaps to help users understand the distribution of arterial signal intensity gradient at a glance, and show measured numbers in a table.
VINT is intended for use with adult (22 years or more) populations who can undergo MRA.
It can also be used to analyze multi-slice signal intensity gradient of a TOF-MRA to visualize and analyze the blood flow characteristics of cerebral arteries, without any-contrast medium for MR angiography.
Medical data (patient information, etc.) is not sent over communication channels and is used only locally.
Nevertheless, use network firewall and antivirus software to prevent patient information leakage.
## 4.2. Key Performance Specifications
The key functions of the VINT software are 2D and 3D viewing, multi-phase series support, zoom, pan, window level, rotate, ROI Markers: Ability to create preset shapes or freehand ROI for measurements or segmentations, provide heatmaps to help users understand the distribution of arterial signal intensity gradient at a glance, and show measured numbers in a table.
## 4.3. Quantitative imaging function
| Contents | Operational Environment |
|-----------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|
| · Equation | · $SIG = (Φb - Φa) / Xb - Xa $<br>· Φa, signal intensity at wall point A [Xa], Φb, signal intensity at inner-wall point B [Xb] |
| · Output | · Set of real values<br>· Unit: $Signal intensity(SI)/mm$ |
| · SIG value (Output) display | · Provided at wall point A [Xa] |
| · Resolution | · Same as TOF-MRA (the number of pixels within a specified Field of View (FOV) |
| · validation | · 2D PC-MR velocity gradient |
| · Level of automatism | · Semi-automatic |
| · Iso-value setting for<br>segmentation | · Semi-automatic segmentation: the threshold segmentation method by binary algorithm<br>(default)<br>· Manual setting |
1) Information on signal intensity gradient (SIG)
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Image /page/7/Picture/0 description: The image shows a logo for a company called MEDIIMG. The logo features a stylized letter "M" in blue, with two orange circles on top of the letter. The circles are positioned to resemble the heads of two people standing side by side. The company name, "MEDIIMG," is written in a sans-serif font below the letter "M".
Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea (13605) 2) Information on artery degree of angle
| Contents | Operational Environment |
|-----------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| • Equation | • The coordinates at the ends of the region of interest are denoted as C1 = (x1, y1, z1), C2 = (x2, y2, z2), The differences between these coordinates are calculated as X = x2 - x1, Y = y2 - y1, Z = z2 - z1.<br>A total of 6 pairs of coordinates, spaced 60 degrees apart, are used.<br>$Angle = \frac{arccos(\frac{Z}{\sqrt{X^2 + Y^2 + Z^2}}}) * 180}{\pi}$ • This process is repeated for each frame in the region of interest. |
| • Output | • A real value<br>• Unit: degree |
| • Angle (Output) display | • Angle of the region of interest |
| • validation | • Comparison with Predicate device Infinitt PACS |
| • Level of automation | • Semi-automatic |
| • Thresholding methods | • Vessel segmentation: Thresholding based on binarization algorithms<br>• The threshold is automatically determined through image analysis. (default)<br>• Manual threshold setting is also possible. |
| • Iso-value setting for<br>segmentation | • Semi-automatic segmentation: Separate the background area and vessels using<br>a binarization algorithm based on image pixel value distribution. The threshold<br>is automatically determined through image analysis. (default)<br>• Manual threshold setting is also possible. |
## 3) Information on coordinate system
| Contents | Operational Environment |
|------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| • Equation | • World Position =<br>• X = Xx * i + Yx * j + Sx<br>• Y = Xy * i + Yy * j + Sy<br>• Z = Xz * i + Yz * j + Sz<br>• (X, Y, Z) : World coordinate system<br>• (i, j) : Pixel coordinates within the image<br>• (Xx, Xy, Xz) : X-direction vector<br>• (Yx, Yy, Yz) : Y-direction vector<br>• (Sx, Sy, Sz): image position (patient)<br>This transformation utilizes DICOM tag information:<br>Image Position (Patient) (0020,0032): (Sx, Sy, Sz)<br>Image Orientation (Patient) (0020,0037): (Xx, Xy, Xz, Yx, Yy, Yz)<br>Pixel Spacing (0028,0030): Pixel size<br>• Length = $\sqrt{(X2 – X1)^2 + (Y2 – Y1)^2 + (Z2 − Z1)^2}$ |
| • Output | • World Position: Real-world coordinates<br>• Length: A real value, Unit: mm |
| • Output display | • Output information for each point |
| • Validation | • Comparison with Predicate device Infinitt PACS |
{8}------------------------------------------------
Image /page/8/Picture/0 description: The image shows a logo for MEDIIMG. The logo features a stylized letter "M" in teal, with two orange circles above the letter. The circles are positioned to resemble the heads of two people. The text "MEDIIMG" is written in a sans-serif font below the letter "M".
| Contents | Operational Environment |
|------------------------|----------------------------------------------------------------------|
| • Level of automation | • Semi-automatic |
| • Thresholding methods | • Vessel segmentation: Thresholding based on binaryzation algorithms |
Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea (13605)
{9}------------------------------------------------
Image /page/9/Picture/0 description: The image shows the logo for MEDIIMG. The logo features a stylized letter 'M' in blue, with two orange circles above the two peaks of the 'M'. The letter 'M' is designed to resemble two people standing side-by-side, with the circles representing their heads. Below the symbol is the text "MEDIIMG" in a simple sans-serif font.
Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea (13605) 4. Indications for Use
VINT is a software that allows for the viewing, post-processing, and quantitative evaluation of cerebrovascular MRI data (in DICOM-compliant format).
It enables:
- Importing DICOM-compliant MR Images.
- Quantitative analysis of imported images.
- Visualization and analysis of blood flow characteristics of cerebral arteries in MR images.
- Advanced correction options such as offset correction, background phase correction, and antialiasing.
- Data visualization as a graph or output as an image or numerical data.
- Providing the right and left carotid and vertebral arteries wall signal intensity gradient (SIG), an image-based indirect marker for velocity gradient from TOF-MRA.
VINT is intended for use with adult (22 years or more) populations who can undergo MRA.
{10}------------------------------------------------
Image /page/10/Picture/0 description: The image shows a logo for a company called MEDIIMG. The logo features a stylized letter 'M' in blue, with two orange circles on top of the letter. The circles are positioned to resemble the heads of two people, suggesting a focus on individuals or collaboration. The company name, 'MEDIIMG,' is written in a simple, sans-serif font below the letter 'M'.
Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea (13605) 5. Determination of Substantial Equivalence
| Sort | Proposed Device | Predicate Device A | Predicate Device B | Reference Device | SE<br>Decision |
|----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------|
| Device<br>Name | VINT | Infinitt PACS 7.0 | iTFlow | Achieva, Ingenia, Ingenia<br>CX, Ingenia Elition and<br>Ingenia Ambition MR<br>Systems | - |
| 510(k)<br>Number | - | K172803 | K222854 | K213583 | - |
| Classific<br>ation | Same | Class II | Class II | Class II | - |
| Regulati<br>on<br>Number | 21 CFR 892.2050 | 21 CFR 892.2050 | 21 CFR 892.2050 | 21 CFR 892.1000 | - |
| Regulati<br>on<br>Name | Medical image management<br>and processing system | Medical image management<br>and processing system | Medical image management<br>and processing system | Magnetic resonance<br>diagnostic | - |
| Product<br>Code | LLZ | LLZ | LLZ | LNH | - |
| Intended<br>Use | VINT is a software that<br>allows for the viewing, post-<br>processing, and quantitative<br>evaluation of cerebrovascular<br>MRI data (in DICOM-<br>compliant format).<br>It enables:<br>- Importing DICOM-<br>compliant MR Images.<br>- Quantitative analysis of<br>imported images.<br>- Visualization and analysis of<br>blood flow characteristics of<br>cerebral arteries in MR<br>images.<br>- Advanced correction options<br>such as offset correction,<br>background phase correction,<br>and anti-aliasing.<br>- Data visualization as a graph<br>or output as an image or<br>numerical data.<br>- Providing the right and left<br>carotid and vertebral arteries<br>wall signal intensity gradient<br>(SIG), an image-based<br>indirect marker for velocity<br>gradient from TOF-MRA.<br>VINT is intended for use with<br>adult (22 years or more)<br>populations who can undergo<br>MRA | Infinitt PACS 7.0, is a<br>software device that<br>receives medical images<br>and data from various<br>imaging sources. Images<br>and data can be stored,<br>communicated, processed,<br>and displayed within the<br>system or across computer<br>networks at distributed<br>locations.<br>Only preprocessed DICOM<br>for presentation images can<br>be interpreted for primary<br>image diagnosis in<br>mammography. Lossy<br>compressed mammographic<br>images and digitized film<br>screen images must not be<br>reviewed for primary image<br>interpretations.<br>Mammographic images<br>may only be interpreted<br>using a monitor that meets<br>technical specification<br>identified by FDA.<br>Typical users of this system<br>are trained professionals,<br>e.g. physicians, radiologists,<br>nurses, and medical<br>technicians. | The iTFlow software will be<br>utilized in situations where<br>visualization of blood flow<br>in a heart and its major<br>vessels are required for a<br>cardiac diagnosis. iTFlow<br>allows for the viewing, post-<br>processing, and the<br>quantitative evaluation of<br>cardiovascular MRI data (in<br>DIRECTOR-compliant<br>format)<br>It enables:<br>- The import of DICOM-<br>compliant MR Images.<br>- The support of a clinical<br>diagnosis by the quantitative<br>analysis of the imported<br>images.<br>- Quantitative measurement<br>of the size, area, blood flow,<br>volume and mass of the<br>heart and adjacent vessels.<br>-Advanced correction<br>options such as offset<br>correction, background<br>phase correction, and anti-<br>aliasing.<br>-Data visualization as a<br>graph or output as an image<br>or numerical data.<br>iTFlow software will assist<br>clinicians with proper<br>training in cardiac treatment<br>decision making and in<br>providing a conclusive<br>diagnosis for patients. It is<br>intended to analyze<br>cardiovascular MRI image<br>data, that are acquired via | Philips Magnetic Resonance<br>(MR) systems are Medical<br>Electrical Systems indicated<br>for use as a diagnostic<br>device. This MR system<br>enables trained physicians<br>to obtain cross-sectional<br>images, spectroscopic<br>images and/or spectra of the<br>internal structure of the<br>head, body or extremities, in<br>any orientation, representing<br>the spatial distribution of<br>protons or other nuclei with<br>spin.<br>Image appearance is<br>determined by many<br>different physical properties<br>of the tissue and the<br>anatomy, the MR scan<br>technique applied, and<br>presence of contrast agents.<br>The use of contrast agents<br>for diagnostic imaging<br>applications should be<br>performed consistent with<br>the approved labeling for<br>the contrast agent.<br>The trained clinical user can<br>adjust the MR scan<br>parameters to customize<br>image appearance,<br>accelerate image acquisition<br>and synchronize with the<br>patient's breathing or<br>cardiac cycle.<br>The systems can use<br>combinations of images to<br>produce physical<br>parameters, and related | Similar |
| | | | | | |
| Rm 6, Startup-Center, 2F, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea (13605) | acquisition, gradient echo cine sequence, and phase contrast time-resolved multi-slice sequence, without any-contrast medium for MR angiography. Patient populations are not restricted. | | spectra, and measurements of physical parameters, when interpreted by a trained physician, provide information that may assist diagnosis and therapy planning. The accuracy determined physical parameters depends on system and scan parameters, and must be controlled and validated the clinical user. In addition the Philips MR systems provide imaging capabilities, such as MR fluoroscopy. to guide and evaluate interventional and minimally invasive procedures in the head, body and extremities. MR Interventional procedures, performed inside or adjacent to the Philips MR system, must be performed with MR Conditional or MR Safe instrumentation as selected and evaluated by the clinical user for use with the specific MR system configuration in the hospital. The appropriateness and use of information from a Philips MR system for a specific interventional procedure and specific MR system configuration must be validated by the clinical user. | | |
| Areas of Use | Radiology | Radiology | Radiology | Radiology | Same |
| Data Source | TOF-MRA | TOF-MRA, PC-MR, MRI | TOF-MRA, PC-MR (4D Flow) | TOF-MRA, PC-MR, MRI…
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Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.