The BIT-Motion is a stand-alone image post processing software. The Bit-Motion is intended for use as a PACS device, which is interfaced to the clinics' LAN. It receives clinical studies from hospital modalities, processes functional volumetric data and generates parametric maps that display changes intensity. It also includes manual display manipulation, annotation and control tools, which assist professional users to evaluate the displayed maps and to transfer the results to the PACS, in DICOM format. The BIT-Motion indications for use are receiving breast studies from MRI scanners and processing them to generate DTI (Diffusion Tensor Imaging) 2D and 3D parametric maps that display changes in the values of water diffusion coefficients and directions, as well as in indices defining diffusion anisotropy. The device-displayed DTI parametric maps are evaluated by the users. The device is indicated for use by trained radiologists and may provide information on breast water diffusion features. The BIT-Motion should not be used in isolation breast tissue features or for making patient management decisions.
Device Story
Stand-alone image post-processing software; operates on PC server connected to clinic LAN. Receives breast MRI datasets in DICOM format from hospital scanners; processes functional volumetric data to generate DTI 2D/3D parametric maps (water diffusion coefficients, directions, anisotropy indices). Provides manual display manipulation, annotation, and control tools for radiologists to evaluate maps; transfers results to PACS in DICOM format. Used in clinical settings by trained radiologists to assist in evaluating breast water diffusion features. Does not provide automated diagnosis; output serves as supplemental information for physician evaluation; not for use in isolation for patient management decisions.
Clinical Evidence
Bench testing only. Software verified via predefined test plan; performance validated using MRI dedicated phantom. Usability and reliability validated in end-user environment. No clinical trial data presented.
Technological Characteristics
Software package running on off-the-shelf PC server; Microsoft Windows 10 OS. Standard MMI (screen, keyboard, mouse). Inputs/outputs: DICOM MRI studies. Connectivity: Networked via LAN. Risk management per ISO 14971.
Indications for Use
Indicated for trained radiologists to process breast MRI studies. Generates DTI 2D/3D parametric maps displaying water diffusion coefficients, directions, and anisotropy indices. Not for use in isolation for evaluating breast tissue or making patient management decisions.
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).
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: the Department of Health & Human Services logo on the left and the FDA logo on the right. The FDA logo is in blue and includes the letters "FDA" followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in a stacked format.
DDE MRI Solutions LTD % John J. Smith, M.D, J.D. Partner Hogan Lovells US LLP 555 Thirteenth Street NW WASHINGTON DC 20004
Re: K211039
Trade/Device Name: BIT-Motion Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: LLZ Dated: October 20, 2021 Received: October 20, 2021
Dear John 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/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.
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
{1}------------------------------------------------
devices or postmarketing safety reporting (21 CFR 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 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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
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.
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K211039
Device Name BIT-Motion
#### Indications for Use (Describe)
The BIT-Motion is a stand-alone image post processing software. The Bit-Motion is intended for use as a PACS device, which is interfaced to the clinics' LAN. It receives clinical studies from hospital modalities, processes functional volumetric data and generates parametric maps that display changes intensity. It also includes manual display manipulation, annotation and control tools, which assist professional users to evaluate the displayed maps and to transfer the results to the PACS, in DICOM format.
The BIT-Motion indications for use are receiving breast studies from MRI scanners and processing them to generate DTI (Diffusion Tensor Imaging) 2D and 3D parametric maps that display changes in the values of water diffusion coefficients and directions, as well as in indices defining diffusion anisotropy. The device-displayed DTI parametric maps are evaluated by the users. The device is indicated for use by trained radiologists and may provide information on breast water diffusion features. The BIT-Motion should not be used in isolation breast tissue features or for making patient management decisions.
| Type of Use (Select one or both, as applicable) |
|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <div> <span> ☑ Prescription Use (Part 21 CFR 801 Subpart D) </span> <span> ☐ Over-The-Counter Use (21 CFR 801 Subpart C) </span> </div> |
CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
*DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW *
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
# 510(k) Summary of Safety and Effectiveness
#### Submitter details
| DDE MRI SOLUTIONS LTD<br>2 Boeur Avraham Tel Aviv Israel<br>Contact: Moti Sokolov | Tel +972-54-4802526 |
|-------------------------------------------------------------------------------------------------------------------|---------------------|
| Correspondent: John J. Smith, M.D., J.D.<br>Hogan Lovells US LLP<br>555 Thirteenth St, NW<br>Washington, DC 20004 | Tel +1 202 637 3638 |
| Date Prepared: December 15, 2021 | |
#### Details of the submitted Device
| Proprietary Name: | BIT-Motion |
|--------------------|------------|
| Regulation Number: | 892.2050 |
| Product Code: | LLZ |
| Committee/Panel: | Radiology |
| Device Class: | II |
#### Type of 510(k) Submission:
Traditional
#### Identification of the Legally Marketed Predicate Device
CADstream Version 4.0 (K043216) Manufactured by Confirma, INC
#### Device Description
The BIT-Motion is a software package that is aimed to process MRI images. The software runs on a PC server, which is connected to the Local Area Network (LAN). The device receives MRI datasets from MRI scanner over the network in DICOM format, processes the images and transfers the outcome images in DICOM format, to selected PCAS stations.
#### Intended use and indications for Use
The BIT-Motion is a stand-alone image post processing software. The Bit-Motion is intended for use as a PACS device, which is interfaced to the clinics' LAN. It receives clinical studies from hospital modalities, processes functional volumetric data and generates parametric maps that display changes in image intensity. It also includes manual display manipulation, annotation and control tools, which assist professional users to evaluate the displayed maps and to transfer the results to the PACS, in DICOM format.
The BIT-Motion indications for use are receiving breast studies from MRI scanners and processing them to generate DTI (Diffusion Tensor Imaging) 2D and 3D parametric maps that display changes in the values of water diffusion coefficients and directions, as well as in indices defining diffusion anisotropy. The device-displayed DTI parametric maps are evaluated by the users. The device is indicated for use by trained radiologists and may provide information on breast water diffusion features. The BIT-Motion should not be used in isolation for evaluating breast tissue features or for making patient management decisions.
{4}------------------------------------------------
#### Technological Characteristics
The BIT-Motion software package is installed in an off-the-shelf PC server, which include Man Machine Interface (standard screen, keyboard and mouse). The Operating System is Microsoft W10. The software package consists of the following software modules: The Communication, User Interface, Algorithm, and graphical tools. Data inputs and output are MRI studies in DICOM format.
## Performance Tests
#### Non-Clinical tests
Conforming to 21CFR820.30(f) requirements, the device software has been verified by testing the software following predefined software test plan.
In addition, the device performance has been verified, by testing it using MRI dedicated phantom.
Conforming to 21CFR820.30(g) requirements, the device performance, usability and reliability have been validated by testing the device in end-user environment.
The above testing methods adhered to state-of-art standards and procedures. The tests' results demonstrate that the device output meet the design input and the intended use.
## Risk Management
The device risks were managed and controlled following the requirements of ISO 14971standard. The device hazards were identified, their risk levels were evaluated and mitigation measures were taken to reduce the risk levels. In DDE opinion the benefits of the BIT-Motion outcome, overweight the device residual risks.
## Substantial Equivalence
Comparison with the predicate device
| Parameter | Predicate Device<br>CADstream Version 4.0 (K043216) | Subject Device<br>BIT-Motion |
|---------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------|
| Intended use | A post processing software, which is<br>intended to receive clinical studies<br>from hospital modalities, to process<br>image volumetric data, to generate<br>images that display changes in image<br>intensity. It also includes manual<br>display manipulation and annotation<br>tools, which assist professional user to<br>evaluate the maps. The device is<br>interfaced with the hospital PACS<br>devices to transfer the processing<br>results in DICOM format. | The same |
| 21CFR section | 892.2050 | The same |
| Product Code | LLZ | The same |
{5}------------------------------------------------
| Indications for use | When interpreted by a skilled physician, this device provides information that may be useful in screening and diagnosis. Patient management decisions should not be made based solely on the results of the device analysis | Very Similar<br>Difference: The BIT-Motion indications for use do not include screening and diagnosis. |
|------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------|
| Technological<br>Characteristics | | |
| Device nature | Post processing SW package | The same |
| Data inputs | MRI images in DICOM format | The same |
| SW processing<br>algorithm | The predicated algorithm is designed to analyze dynamic breast MRI studies to provide DCE parametric maps | Difference: The BIT-Motion algorithm is designed to analyze contrast free pre-defined breast MRI studies to provides DTI parametric maps |
| SW controls<br>(Communication,<br>processing,<br>User interface) | Carestream Health, Inc unique SW Design | Difference: DDE MRI Solutions Ltd. unique SW Design |
| Data outputs | MRI images in DICOM format | The same |
#### Substantial Equivalence conclusion
The BIT-Motion has the same intended use and very similar indication for use as the legally marketed predicate device. The two devices have similar technological characteristics. Results of tests, which were adhered to state-of-art standards and procedures, demonstrate that differences in the technological characteristics do not raise new questions of safety or effectiveness. Based on this discussion, it is DDE's opinion that BIT-Motion is substantially equivalent in terms of safety and effectiveness to the CADstream Version 4.0 (K043216) predicate device.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
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.