Retrospective clinical data, including T2-weighted anatomical data and raw diffusion image series, were used to validate the device's diffusion signal normalization and the conspicuity of the Restricted Signal Map.
Retrospective validation of diffusion analysis; Retrospective analysis of clinical image data
Patients undergoing clinical MRI scans
Not applicable for this study
Diffusion signal normalization and Restricted Signal Map conspicuity
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Prostate segmentation
Deep learning algorithm
—
—
—
—
—
—
Indications for Use
RSI-MRI+ is indicated for use as automatic post-acquisition image processing software for analysis of diffusionweighted and anatomical magnetic resonance imaging data. RSI-MRI+ is intended for automatic fusion of derived diffusion-weighted MRI data with anatomical T2-weighted MR images. RSI-MRI+ is additionally intended to provide automatic prostate segmentation, and reporting of derived image metrics. RSI-MRI+ is not intended for use in pediatric populations. RSI-MRI+ is not intended to diagnose, treat, or prevent diseases or conditions. RSI-MRI+ is intended to be used in a variety of settings such as hospitals, clinics, and medical offices.
Device Story
Standalone software for radiologists/clinicians; processes DICOM diffusion-weighted (DWI) and anatomical T2-weighted MRI data. Uses deep learning for automatic prostate segmentation; generates Restricted Signal Map for improved restricted diffusion conspicuity; performs image fusion of derived DWI data with T2-weighted images. Outputs DICOM-compatible reports, segmentation volumes, and fused image series for viewing on third-party PACS workstations. Used in hospitals, clinics, and medical offices. Clinicians review, accept, or reject outputs to assist in image analysis and interpretation. Benefits include improved visualization of restricted diffusion and automated quantification of prostate metrics.
Clinical Evidence
Bench testing only. Software verification and validation confirmed DICOM processing and output generation. Performance testing demonstrated increased conspicuity of Restricted Signal Maps compared to standard DWI, accuracy of automated prostate segmentation versus manual radiologist segmentations, and diffusion signal normalization across scanners. Retrospective clinical data (labeled ROIs, T2-weighted data, raw diffusion series) used for verification and validation of diffusion analysis.
Technological Characteristics
Standalone software for network-connected server or PC workstation. Inputs/outputs: DICOM. Processing: Multi-compartment RSI model for diffusion analysis; deep learning algorithm for prostate segmentation. Features: Restricted Signal Map generation, color fusion series, automated segmentation, and reporting. No manual segmentation, co-registration, or image annotation tools.
Indications for Use
Indicated for automatic post-acquisition processing of diffusion-weighted and anatomical MRI data for prostate segmentation, quantification, and reporting. Not for pediatric use. Not for diagnosis, treatment, or prevention of disease.
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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November 19, 2019
MultiModal Imaging Services Corporation (dba HealthLytix) % Stephen Kosnosky, PMP, ASQ CMQ/OE Quality and Regulatory Manager 4747 Executive Drive, Suite 820 SAN DIEGO CA 92121
Re: K191278
Trade/Device Name: RSI-MRI+ Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: November 8, 2019 Received: November 12, 2019
Dear Mr. Kosnosky:
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/cfpmp/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 devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see
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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 medical devices and radiation-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,
For
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
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## Indications for Use
510(k) Number (if known) K191278
Device Name RSI-MRI+
#### Indications for Use (Describe)
RSI-MRI+ is indicated for use as automatic post-acquisition image processing software for analysis of diffusionweighted and anatomical magnetic resonance imaging data.
RSI-MRI+ is intended for automatic fusion of derived diffusion-weighted MRI data with anatomical T2-weighted MR images.
RSI-MRI+ is additionally intended to provide automatic prostate segmentation, and reporting of derived image metrics.
RSI-MRI+ is not intended for use in pediatric populations.
RSI-MRI+ is not intended to diagnose, treat, or prevent diseases or conditions.
RSI-MRI+ is intended to be used in a variety of settings such as hospitals, clinics, and medical offices.
| Type of Use (Select one or both, as applicable) | |
|--------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------|
| <div style="display:flex; align-items:center;"><input checked="" type="checkbox"/>Prescription Use (Part 21 CFR 801 Subpart D)</div> | <div style="display:flex; align-items:center;"><input type="checkbox"/>Over-The-Counter Use (21 CFR 801 Subpart C)</div> |
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Image /page/3/Picture/0 description: The image shows the logo for HealthLytix. To the left of the company name is a circular design made up of many small circles. The name HealthLytix is in blue, with the "Health" portion in a darker blue and the "Lytix" portion in a lighter blue.
# 510(k) Summary
# K191278
### Submission Information:
| Submitter's Name | MultiModal Imaging Services Corporation (dba HealthLytix) |
|------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Submitter's Address | 4747 Executive Drive, Suite 820<br>San Diego, CA 92121 |
| Submitter Telephone | +001.619.340.0503 |
| Contact Name | Stephen Kosnosky PMP, ASQ CMQ/OE |
| Date Prepared | Sept 18, 2019 |
| Trade or Proprietary<br>Name | RSI-MRI+ |
| Common or Usual<br>Name | Picture Archiving and Communications System |
| Classification Name | System, Image Processing, Radiological) (21 CFR 892.2050) |
| Regulatory Class | Class II |
| Product Code | LLZ |
| Predicate Device | Eigen ProFuse CAD (K173744)<br>As of submission date this predicate device has not been subject to<br>a design-related recall.<br>No reference devices were used in this submission. |
## Device Description:
RSI-MRI+ is standalone software that is used by radiologists, and other clinicians to assist with analysis and interpretation of medical images. RSI-MRI+ accepts DICOM images using supported protocols and performs automatic post-acquisition analysis of diffusion-weighted magnetic resonance imaging (DWI) data and optional automated fusion of derived image data with anatomical T2weighted MR images.
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Image /page/4/Picture/0 description: The image contains the logo for HealthLytix. The logo consists of a circular design on the left, made up of many small dots arranged in concentric circles. To the right of the circular design is the company name, "HealthLytix", with the "Health" part in a darker blue and the "Lytix" part in a lighter blue.
Some of the features of RSI-MRI+ include:
- Restricted Signal Map: The derived image data produced by RSI-MRI+ includes an enhanced DWI map (the Restricted Signal Map), which demonstrates improved conspicuity of restricted diffusion compared to standard DWI maps.
- . Color Fusion Series: RSI-MRI+ can be configured to produce a color fusion series which overlays the Restricted Signal Map intensity onto the anatomical T2-weighted image series.
- Automated Prostate Segmentation: RSI-MRI+ uses artificial intelligence (Al) powered by a deep learning algorithm to automatically segment the prostate on anatomical T2-weighted images. The segmentation result is provided in the separate Prostate Seqmentation Series.
- . Automated Segmentation Report: RSI-MRI+ generates a report of segmentation volume and images of the segmented prostate as a colored outline on the anatomical image.
- . Export: RSI-MRI+ outputs are provided in standard DICOM format, which is compatible with most third-party commercial PACS workstation software.
NOTE: The RSI-MRI+ supported protocols differ from PI-RADS v2.1 in that they have lower in-plane resolution for T2W images and thicker slices for the GE DWI.
### Indications for Use:
RSI-MRI+ is indicated for use as automatic post-acquisition image processing software for analysis of diffusion-weighted and anatomical magnetic resonance imaging data.
RSI-MRI+ is intended for automatic fusion of derived diffusion-weighted MRI data with anatomical T2-weighted MR images.
RSI-MRI+ is additionally intended to provide automatic prostate segmentation, quantification, and reporting of derived image metrics.
RSI-MRI+ is not intended for use in pediatric populations.
RSI-MRI+ is not intended to diagnose, treat, or prevent diseases or conditions.
RSI-MRI+ is intended to be used in a variety of settings such as hospitals, clinics, and medical offices.
### Substantial Equivalence:
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Image /page/5/Picture/0 description: The image shows the Healthlytix logo. The logo consists of a circular arrangement of blue dots on the left and the word "HealthLytix" on the right. The word "Health" is in a darker blue color, while "Lytix" is in a lighter blue color.
The product's technical features are substantially equivalent to the ProFuse CAD (K173744). Many of the features of the ProFuse CAD (K173744) software are included in RSI-MRI+ is standalone software that runs on a network connected server or PC workstation. The RSI-MRI+ device accepts DICOM image data as input to perform image processing including diffusion series analysis, automatic segmentation, fusion of images, and automated reporting from MRI scans.
At a high level, the subject and predicate devices are based on the following same technological elements:
- Software devices ●
- DICOM compatibility for input and output
- Diffusion-series analysis
- Image fusion
- Automated reporting
- MRI Image analysis
- Display and measurement data may be viewed, accepted, or rejected by a clinician
- For use in hospital, clinic, or medical office
The following differences exist between the subject and predicate devices:
- Image format compatibility (RSI-MRI+ is compatible with DWI-MRI, predicate has additional compatibility with MRI, CT, PET)
- Contrast image processing (RSI-MRI+ does not contain this functionality)
- Co-registration (RSI-MRI+ does not contain this functionality)
- Image annotation (RSI-MRI+ does not contain this functionality)
- Manual segmentation (RSI-MRI+ has automatic segmentation, predicate uses manual segmentation)
- Image viewing (RSI-MRI+ does not contain this functionality, images are viewable on most 3ª party commercial PACS workstation software)
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### Predicate Device:
| Function | RSI-MRI+<br>(Subject Device) | ProFuse CAD<br>(K173744) |
|--------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Product Code | LLZ | LLZ |
| DICOM Input | DICOM compatible | DICOM compatible |
| Diffusion - series<br>analysis | Post-processing analysis of<br>Diffusion MRI data with<br>multi-compartment RSI<br>model. | Post-processing analysis of<br>Diffusion MRI data with single<br>compartment DWI model. |
| Segmentation | Automated Prostate<br>Segmentation: RSI-MRI+<br>software provides automatic<br>prostate segmentation,<br>quantification, and reporting<br>of derived image metrics. | Manual Prostate<br>Segmentation: ProFuse CAD<br>has a marking feature that<br>allows the user to manually<br>segment the prostate and<br>provides quantification and<br>reporting of derived image<br>metrics. |
| Co-Registration | Does not contain this<br>functionality. | Performs co-registration of<br>images. |
| Fusion | Automated fusion of derived<br>Diffusion MRI data with<br>anatomical MRI data | Automated fusion of derived<br>Diffusion MRI data with<br>anatomical MRI data in<br>addition to other data sources |
| Report | Yes | Yes |
| DICOM output | DICOM compatible | DICOM compatible |
| Data Source | MRI Scanner | MRI Scanner, CT Scanner, PET<br>Scanner |
| Safety | Display/measurement data<br>can be viewed, accepted, or<br>rejected by a physician. | Display/measurement data<br>can be viewed, accepted, or<br>rejected by a physician. |
| Environment for<br>use | Hospital, Clinic, Medical<br>Office | Hospital, Clinic, Medical Office,<br>Home Office |
### Testing and Performance Data:
The following performance data were provided in support of the substantial equivalence determination:
Software verification and validation testing were conducted, and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket
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Image /page/7/Picture/0 description: The image shows the logo for HealthLytix. The logo consists of a circular design on the left, made up of small blue dots arranged in concentric circles. To the right of the circular design is the company name, "HealthLytix", with "Health" in a darker blue and "Lytix" in a lighter blue.
Submissions for Software Contained in Medical Devices". All product and engineering specifications were verified and validated.
Software validation was performed to demonstrate that RSI MRI+ processes DICOM images and presents the processed images and quantitative results in all instances RSI-MRI+ functioned as intended and outputs were created as expected.
Performance testing included protocols demonstrating;
- । Increased conspicuity of the RSI-MRI+ Restricted Signal Map to standard DWI maps in regions of restricted diffusion
- -Accuracy of automated segmentation compared to manual radiologist segmentations
- -Diffusion signal normalization across acquisitions and scanners
Retrospective clinical data (including professionally labeled regions-of-interest, T2-weighted anatomical data, and raw diffusion image series) were used for verification and validation of the diffusion analysis (diffusion signal normalization and Restricted Signal Map conspicuity).
### Nonclinical Testing and Performance Information
Nonclinical and performance testing has been performed by designated individuals as required by HealthLytix quality procedures. Verification & Validation Test Plans were designed to evaluate all input functions, output functions, and actions performed by RSI-MRI+ in each operational mode. RSI-MRI+ has been assessed and tested at the manufacturer's facility and has passed all in-house testing criteria including validating design, function and specifications. Measurement validation was performed on clinically acquired images and shows that RSI-MRI+ is safe and effective. Nonclinical and performance testing results are provided in the 510(k) and demonstrate that the predetermined acceptance criteria are met.
### Conclusion:
The results of comparing the intended use, features and functionality, technological characteristics, mode of operation, and specifications of RSI-MRI+ with those of the predicate device demonstrate that RSI-MRI+ is substantially equivalent. Any differences between RSI-MRI+ and the predicate device do not raise any new questions of safety or effectiveness.
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.