A clinical evaluation was performed via a literature review to assess the benefits and clinical applicability of the 2D feature tracking method for myocardial deformation analysis in routine clinical practice.
Literature review; Clinical evaluation; Myocardial deformation
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Clinical evaluation via literature review; Literature review
Patients with suspected heart disease
Standard procedures such as HARP (for MR) or 2D speckle tracking (for echo)
Myocardial deformation (strain) and movement (displacement/velocity)
Indications for Use
The clinical application package 2D Cardiac Performance Analysis MR is indicated for cardiac quantification based on digital magnetic resonance images. It provides measurements of myocardial function (displacement, velocity and strain) that is used for clinical diagnosis purposes of patients with suspected heart disease.
Device Story
2D Cardiac Performance Analysis MR 1.0 is a software application for high-performance PCs running Windows. It processes digitized cardiac magnetic resonance (MR) images to quantify myocardial deformation and movement. Workflow: clinician manually draws endocardial/epicardial contours on MR images; software feature-tracking algorithm calculates border displacement; system derives velocities, displacement, strain, strain rate, time-to-peak, and phase. Output includes tracked contour overlays and parameter graphs. Used in clinical settings to assist physicians in diagnosing heart disease. Benefits include reduced analysis time compared to tagged or late-enhancement MRI imaging by utilizing standard MR images without requiring specialized acquisition sequences. Integrates with TomTec Data Management Platform (Image-Arena) via Generic CAP Interface for data exchange.
Clinical Evidence
Clinical evaluation performed via literature review route. Evidence supports that 2D feature tracking on standard MR images is as accurate as established methods like HARP (for MR) and 2D speckle tracking (for echo). Clinical data confirms the device is safe, effective, and performs as well as predicate devices for cardiac quantification.
Technological Characteristics
Software-based clinical application package for Windows PCs. Utilizes 2D feature tracking algorithm to analyze myocardial deformation from digital MR images. Connectivity via Generic CAP Interface to TomTec Data Management Platform. No specialized hardware; runs on standard high-performance PC platforms.
Indications for Use
Indicated for cardiac quantification in patients with suspected heart disease using digital magnetic resonance images to measure myocardial function (displacement, velocity, strain, strain rate, time-to-peak, and phase).
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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K120135
Image /page/0/Picture/1 description: The image shows the logo for TOMTEC IMAGING SYSTEMS. The logo is in black and white. The word "TOMTEC" is in large, bold letters, with the "T" in "TOMTEC" being connected to the "M". Below the word "TOMTEC" is the phrase "IMAGING SYSTEMS" in smaller letters.
APR 1 3 2012
April 11th, 2012
# Traditional 510(k) Summary
2D Cardiac Performance Analysis MR 1.0
### Owner's Name and Address
TomTec Imaging Systems GmbH Edisonstrasse 6 D-85716 Unterschleissheim
### Contact Person
Inge Scheidt QM & RA Officer Phone Phone ++49-89-32175-515 ++49-89-32175-750 Fax
#### Common, Classification & Proprietary Names
Common Name: Various Image Analysis System Software Classification Name: Picture Archiving and Communications System Proprietary Name(s): 2D Cardiac Performance Analysis MR 1.0
## Predicate Devices
| Predicate Device 1 | K090461 | Image-Arena 4.0 and Image-Arena<br>Applications 2D Cardiac Performance<br>Analysis, TomTec<br>2D Cardiac Performance Analysis<br>component, only |
|--------------------|---------|--------------------------------------------------------------------------------------------------------------------------------------------------|
| Predicate Device 2 | K100352 | Diagnosoft HARP 2.06, Diagnosoft, Inc. |
The Subject Device "2D Cardiac Performance Analysis MR 1.0" is an adapted version of the Predicate Device 1 (K090461) 2D Cardiac Performance Analysis 1.0. It is adapted to the use with magnetic resonance images (MRI).
A central component of the Subject Device is the tracking which is also provided in Predicate Device 2 (K100352) Diagnosoft HARP 2.06 based on magnetic resonance images.
Image /page/0/Picture/16 description: The image shows a series of black, right-angle shapes arranged in a winding pattern. The shapes are closely packed together, creating a sense of movement or direction. The overall impression is abstract and geometric. The shapes are all the same size and orientation.
510(k) Summary
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Image /page/1/Picture/1 description: The image shows the logo for Tomtec Imaging Systems. The logo is in black and white and features the word "Tomtec" in large, bold letters. Below the word "Tomtec" are the words "Imaging Systems" in smaller letters. The logo is simple and modern, and it is likely used to represent the company's brand.
### Device Description
2D Cardiac Performance Analysis MR (=2D CPA MR) is a clinical application package for high performance PC platforms based on Microsoft® Windows® operating system standards. 2D CPA MR is a software for the analysis, storage and retrieval of digitized magnetic resonance (MR) images.
The data can be acquired by cardiac MR machines. The digital 2D data can be used for comprehensive functional assessment of the myocardial function.
2D CPA MR is designed to run with a TomTec Data Management Platform (Image-Arena™, their derivatives or any other platform that provides and supports the Generic CAP Interface. The Generic CAP Interface is used to connect clinical application packages (=CAPs) to platforms to exchange digital medical data.
The TomTec Data Management Platform enhances the workflow by providing the database, import, export and other advanced high-level research functionalities.
2D CPA MR is designed for the 2-dimensional functional analysis of myocardial deformation. Based on two dimensional datasets a feature tracking algorithm supports the calculation of a 2D contour model that represents the endocardial and epicardial border. From these contours the corresponding velocities, displacement and strain can be derived.
#### Intended Use
2D CPA MR software is intended for quantification of the myocardial deformation (strain) and movement (displacement / velocity) for digital magnetic resonance images. Possible quantification results are velocity, displacement, strain rate, time-to-peak and phase.
Prerequisite is to draw a contour (endocard or endocard and epicard) in a digital magnetic resonance image. Based on this manual drawn contour, the SW calculates with a tracking algorithm the borders' displacement.
#### Indication for Use
2D Cardiac Performance Analysis is intended for cardiac quantification based on magnetic resonance images. It provides measurements of myocardial function (displacement, velocity, strain, strain rate) that is used for diagnostic purposes of patients with suspected heart disease.
## Technological Characteristics Comparison
The actual submission combines the advantages of the FDA cleared software products:
| Predicate Device 1 | K090461 | Image-Arena 4.0 and Image-Arena<br>Applications 2D Cardiac Performance<br>Analysis, TomTec<br>2D Cardiac Performance Analysis<br>component, only |
|--------------------|---------|--------------------------------------------------------------------------------------------------------------------------------------------------|
|--------------------|---------|--------------------------------------------------------------------------------------------------------------------------------------------------|
Image /page/1/Picture/16 description: The image shows a series of black, right-angled shapes arranged in a somewhat linear, curving pattern. The shapes are oriented in different directions, creating a dynamic and almost chaotic visual effect. The shapes are closely packed together, with some overlapping, which adds to the complexity of the overall composition.
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Image /page/2/Picture/0 description: The image shows the logo for Tomtec Imaging Systems. The logo is in black and white, with the word "Tomtec" in large, bold letters. Below the word "Tomtec" is the phrase "Imaging Systems" in smaller letters. The logo is simple and modern, and it is likely used to represent the company's brand.
| Predicate Device 2 | Commend Company Company Comments of Concessful Collection Company Controller Company Controlled Concession Comparison Comparison Comparison Comparis Comparis Comparis Compari<br>K100352<br>. | Diagnosoft HARP 2.06, Diagnosoft, Inc. | |
|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------|--|
| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | A | |
The Subject Device provides measurements to analyze the myocardial function on cardiac magnetic resonance images like Predicate Device 1 (K090461) and Predicate Device 2 (K100352).
The tracking technology of the Subject Device is sensitive enough to track the grey value patterns of regular MRI, thus eliminating the need of additional acquisition of tagged images, which are usually the basis for Predicate Device 2 (K100352). The tracking of the Subiect Device delivers contours of different regions of the myocardium like in Predicate Device 1 (K090461) and Predicate Device 2 (K100352).
Based on the tracking results regional measurements like strain can be derived like in Predicate Device 1 (K090461) and Predicate Device 2 (K100352).
The parameters can be expressed in their spatial directions (e.g. circumferential, radial) like in Predicate Device 1 (K090461) and Predicate Device 2 (K1003526).
An overlay of the tracked contours as well as graph displays for the measured parameters are available like in Predicate Device 1 (K090461) and Predicate Device 2 (K100352). The Subject Device is connected to the data management platform via the Generic Clinical Application Package Interface like Predicate Device 1 (K090461).
## Discussion according non-clinical performance data testing
Testing was performed according to internal company procedures. Software testing and validation were done at the module and system level according to written test protocols established before testing was conducted.
The test procedure was performed according to the Project Quality Plan. Test results were reviewed by designated technical professionals before software proceeded to release.
The results are summarized in the test summary report. The conclusion states that:
- Verification strategies and test procedures used are appropriate ।
- Software system test procedures trace to software requirements -
- All software requirements are tested or otherwise verified -
- Test results meet the required pass/fail criteria -
#### Discussion according clinical performance data testing
The overall product concept was clinically accepted and the clinical test results support the conclusion that the Subject Device is as safe as effective, and performs as well as the Predicate Devices.
A clinical evaluation following the literature route based on the assessment of benefits, associated with the use of the device, was performed. The clinical evaluation shows that the published data are relevant and applicable to the relevant characteristics of the device under assessment and the medical procedure for which the device is intended.
120135
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Image /page/3/Picture/1 description: The image shows the logo for Tomtec Imaging Systems. The logo is in black and white, with the word "Tomtec" in large, bold letters. Below the word "Tomtec" are the words "Imaging Systems" in smaller letters. The logo is simple and modern, and it is likely used on the company's website and marketing materials.
Risk analysis aspects were treated in the risk management report. Based on this document the existing applied methods in the literature and the newly described techniques of the product (which are considered in the risk analysis) were evaluated.
No further risks were identified.
#### Conclusion from the analysis of the literature review
- The Risk-Benefit Assessment shows that the benefit is superior to the risk � (whereas the risk is low).
- The 2D feature tracking method based on 2D MR image data is already published. . The use is as accurate as standard procedures such as HARP (for MR) or 2D speckle tracking (for echo) and it is feasible for clinical practice.
- The quantitative results have been discussed controversial with existing methods. .
- The approach of drawing manual contour on standard MR images combined with . a 2D feature tracking doesn't change the clinical intention of the product. The workflow reduces time in contrast to dedicated MRI examination such as tagged imaging or late enhancement imaging.
- The data are sufficient to demonstrate compliance with the essential requirements t covering safety and performance of the device in question under normal conditions of use.
- The claims made in the device labelling are substantiated by the clinical data. .
## Test Conclusions of non-clinical and clinical performance data
Test results support the conclusion, that the Subject Device is as safe as effective, and performs as well as or better than the Predicate Devices.
No reportable events or problems for the Predicate Devices exist. The overall product concept was clinically accepted and the test results support the conclusion that the Subject Device is as safe as effective and performs as well as the Predicate Devices.
Munich, April 11th, 2012
Inge Scheidt QM & RA Officer
510(k) Summary
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Image /page/4/Picture/0 description: The image shows the logo for the Department of Health & Human Services - USA. The logo is circular, with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter of the circle. Inside the circle is a stylized image of three birds in flight, arranged in a diagonal line.
## DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration . 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
APR 1 3 2012
Ms. Inge Scheidt OM & RA Officer TomTec Imaging Systems GmbH Edisonstrasse 6, Unterschleissheim Bavaria D-85716 GERMANY
Re: K120135
Trade/Device Name: 2D Cardiac Performance Analysis MR 1.0 Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: January 13, 2012 Received: January 17, 2012
#### Dear Ms. Scheidt:
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. 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.
If your device is classified (see above) into class II (Special Controls), it may be subject to such additional controls. Existing major regulations affecting your device can be found in Title 21, Code of Federal Regulations (CFR), Parts 800 to 895. 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 Parts 801 and 809); medical device reporting (reporting of
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#### Page 2
medical device-related adverse events) (21 CFR 803); and good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820). This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Parts 801 and 809), please contact the Office of In Vitro Diagnostic Device Evaluation and Safety at (301) 796-5450. 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 the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely Yours,
Janine M. Morris
Acting Director Division of Radiological Devices Office of In Vitro Diagnostic Device Evaluation and Safety Center for Devices and Radiological Health
Enclosure
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# Indications for Use
K120135 510(k) Number (if known):
Device Name:
# 2D Cardiac Performance Analysis MR 1.0
#### Indications for Use:
The clinical application package 2D Cardiac Performance Analysis MR is indicated for cardiac quantification based on digital magnetic resonance images. It provides measurements of myocardial function (displacement, velocity and strain) that is used for clinical diagnosis purposes of patients with suspected heart disease.
Samu
(Division Sign-Off)
Division of Radiological Devices
of Radiological Devices Divisio Office of In nostic Device Evaluation and Safety Vitro D
510K K120135
Prescription Use X · (Part 21 CFR 801 Subpart D)
AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
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.