The purpose of IGTFusion is to assist the user with the visual evaluation and comparison of information between anatomical and functional images from a single patient. The supported modalities are CT, PET, and MR.
Device Story
IGTFusion is a stand-alone software application designed to streamline medical image fusion. It ingests DICOM-conformant anatomical and functional images (CT, PET, MR) from PACS or imaging equipment. The device performs image registration and fusion, providing a simplified visualization interface for clinicians. Unlike complex workstations, it functions as a fusion appliance, minimizing user interaction to facilitate integration into larger clinical workflow pipelines. It omits advanced visualization features like volume rendering and annotations. The output is displayed to the physician to aid in patient evaluation and clinical decision-making. It does not replace standard visual comparison procedures; clinicians must consider the device's limitations and accuracy during final interpretation. The device is intended for use in clinical settings such as radiology and oncology departments.
Clinical Evidence
No clinical studies were conducted. Performance was established through non-clinical testing, including adherence to AAMI/ANSI/ISO 14971:2007/(R)2010 (risk management) and AAMI/ANSI/IEC 62304:2006 (software life cycle processes).
Technological Characteristics
Stand-alone software for DICOM image registration and fusion. Supports CT, PET, and MR modalities. Operates as a streamlined fusion appliance. Compliant with AAMI/ANSI/IEC 62304:2006 software life cycle standards. Does not include advanced visualization features like volume rendering or annotations.
Indications for Use
Indicated for use by physicians in diagnostic radiology, oncology, radiation therapy planning, interventional radiology, and other medical specialties to display, register, and fuse DICOM-conformant medical imaging data (CT, PET, MR) for a single patient. Not intended for mammography diagnosis.
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).
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August 16, 2018
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IGI Technologies % E.J. Smith Consultant Smith Associates 1468 Harwell Avenue CROFTON MD 21114
Re: K180522
Trade/Device Name: IGTFusion Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: July 16, 2018 Received: July 16, 2018
Dear E.J. Smith:
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 (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 located at https://www.accessdata.fda.gov/scripts/cdrl/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.
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 803) for
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devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.htm); 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 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Michael D. O'Hara For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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## Section 4
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#### Indications for Use
510(k) Number (if known)
K180522
Device Name IGTFusion
Indications for Use (Describe)
IGTFusion is a stand-alone software product that provides the physician 3 means for comparison of medical imaging data from multiple DICOM conformant imaging modality sources. It allows the display, registration and fusing of medical images as an aid during use by diagnostic radiology, oncology, radiation therapy planning, interventional radiology and other medical Specialties. IGTFusion is not intended for mammography diagnosis.
Type of Use (Select one or both, as applicable)
[X] Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
#### PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
#### FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
Form Approved: OMB No. 0910-0120 Expiration Date: January 31, 2017 See PRA Statement on last page.
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# Section 5
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### 510(k) Summary
| Submitter: | IGI Technologies<br>387 Technology Drive<br>College Park, MD 20742 |
|---------------------------|--------------------------------------------------------------------|
| Contact Person: | Will Plishker, PhD<br>CEO |
| Telephone Number: | 202-713-9571 |
| Email: | will@igitechnologies.com |
| | |
| Summary Preparation Date: | February 22, 2018 |
| Device Description: | |
| Trade Name: | IGTFusion |
| Common Name: | Picture Archive and Communication Systems |
| Classification Name: | Picture Archive and Communication Systems |
| Regulatory Class: | Class II |
| Product Code: | LLZ |
| C.R.F. Section: | 21 CFR 892.2050 |
#### Predicate Devices:
| | Manufacturer | Brand Name | 510(k) Number |
|-----------|---------------------------------|-------------|---------------|
| Primary | Velocity Medical Solutions, LLC | VelocityAIS | K081076 |
| Reference | Mirada Medical Ltd LLC | RTx | K130393 |
#### Device Description:
The purpose of IGTFusion is to assist the user with the visual evaluation, comparison, and merging of information between anatomical and functional images from a single patient. The user needs to take into consideration the product's limitations and accuracy when integration from the registration results for final interpretation. IGTFusion does not replace the usual procedures for visual comparison of datasets by a user. Fusion images are intended to provide additional information to a user's existing workflow for patient evaluation.
The potential hazards associated with this software product are no different from those of other PACS components and may be variously obviated by decisions made by the user of the product. None of these failures are expected to contribute to patient death or injury. In consequence, IGTFusion is considered to have no adverse effect on health since the results represent only a part of the information that a user will utilize for final interpretation. In this regard, IGT Fusion represents a moderate level of concern with respect to patient safety.
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#### Indications for Use:
IGTFusion is a stand-alone software product that provides the physician 3 means for comparison of medical imaging data from multiple DICOM conformant imaging modality sources. It allows the display, registration and fusing of medical images as an aid during use by diagnostic radiology, oncology, radiation therapy planning, interventional radiology and other medical Specialties. IGTFusion is not intended for mammography diagnosis.
#### Intended Use:
The purpose of IGTFusion is to assist the user with the visual evaluation and comparison of information between anatomical and functional images from a single patient. The supported modalities are CT, PET, and MR.
#### Substantial Equivalence Discussion:
Discussion of Technological Similarities:
IGTFusion, Mirada RTx and VelocityAlS have the same visualization capabilities, registration, DICOM Compliance and each has a Graphical User Interface.
IGTFusion and VelocityAlS both have same reporting capabilities.
Discussion of Technological Differences:
While the core features of IGTFusion match with existing predicate devices, the packaging of how those features are delivered are different. Instead of providing a complex workstation with many extra features for interaction and visualization, IGTFusion provides only the essential representations to streamline the process of utilizing fusion visualization. Instead of requiring a clinician to sit at a workstation or log on remotely to a software GUI, IGTFusion is more like a fusion appliance, providing quick fusion visualization with a minimum of interaction required. After a floating image is selected, clinicians may push a series of interest from PACS or even directly from imaging equipment for quick visualization. Such minimal activity also lends itself more easily into larger workflow processing pipelines which are generating and consuming images for more complex applications. This approach is founded on our image registration engine which has been extensively tested to show that is as accurate existing solutions without the need of extra tools. This general approach also lends itself to avoiding advanced visualization features such volume rendering and annotations, which strictly enhance (i.e. are not required for) image fusion. These differences raise no new issues of safety and effectiveness.
Non-Clinical Performance Standards:
- . AAMI / ANSI / ISO 14971:2007/(R)2010 (Corrected 4 October 2007), Medical devices - Applications of risk management to medical devices
- . AAMI / ANSI / IEC 62304:2006, Medical device software life cycle processes
- Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices, dated May 11, 2005
Clinical Studies:
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No clinical studies were conducted.
Conclusion:
The proposed device (IGTFusion) does not result in any new potential safety risk and performs in accordance with its intended use as well as comparatively with the intended use of the chosen predicates. We conclude that IGTFusion is as safe and effective as the predicate device and poses no unanswered questions regarding safety and efficacy.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
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.