The CT Dynamic Myocardial Perfusion (CT DMP) application is intended to assist clinicians in the visualization and diagnostic assessment of cardiac images focusing on the left ventricular myocardium: specifically providing qualitative myocardial blood flow measurements for CT images. The application supports axial, ECG gated CT images, consisting of multiple time shots within the same study of the same myocardial region over time (i.e., dynamic CT scans), after the injection of intravenous contrast. The application displays the results as a composite (single image that is calculated from a set of time course images at a single location) image.
Device Story
Software application for cardiac CT image analysis; processes axial, ECG-gated dynamic CT scans acquired after intravenous contrast injection. Input data undergoes spatial and temporal filtering to reduce noise; automatic/manual detection of cardiac axes; clinician-defined regions of interest on short-axis images. Calculates myocardial blood flow, blood volume, time-to-peak, and peak enhancements. Used in clinical settings by physicians to supplement traditional visual assessment of coronary artery disease. Output displayed as composite images and quantitative metrics; assists clinical decision-making by providing perfusion data. Benefits include enhanced visualization and assessment of myocardial perfusion.
Clinical Evidence
Bench testing only. Verification and validation activities confirmed functionality against design specifications and user needs. Algorithm performance compared directly against Philips Brilliance Volume (K060937) under identical conditions, yielding similar or identical values. No clinical trial data presented.
Technological Characteristics
Software-based image processing application. Features spatio-temporal filtering, automated cardiac axes detection, and segmentation. Implements Mullani-Gould formulation for perfusion calculations. Operates on standard hardware (laptop). Connectivity/interoperability not specified beyond standard DICOM-compatible CT image input. Software developed per ISO 13485:2003 and FDA guidance.
Indications for Use
Indicated for clinicians to assist in visualization and diagnostic assessment of left ventricular myocardium using dynamic, ECG-gated CT images with intravenous contrast to provide qualitative myocardial blood flow measurements for coronary artery disease assessment.
Regulatory Classification
Identification
A computed tomography x-ray system is a diagnostic x-ray system intended to produce cross-sectional images of the body by computer reconstruction of x-ray transmission data from the same axial plane taken at different angles. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 25, 2014
Philips Medical Systems % Ms. Susan Ouick Regulatory Affairs Specialist Philips Medical Systems (Cleveland), Inc. 595 Miner Road CLEVELAND OH 44143
Re: K133603
Trade/Device Name: Philips CT Dynamic Myocardial Perfusion (DMP) Application Regulation Number: 21 CFR 892.1750 Regulation Name: Computed tomography x-ray system Regulatory Class: II Product Code: JAK Dated: September 15, 2014 Received: September 16, 2014
Dear Ms. Quick:
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. 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 (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. 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 Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours.
Smh.f)
for
Janine M. Morris Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K133603
Device Name
Philips CT Dynamic Mvocardial Perfusion (DMP) Application
## Indications for Use (Describe)
The CT Dynamic Mvocardial Perfusion (CT DMP) application is intended to assist clinicians in the visualization and diagnostic assessment of cardiac in and on the left ventricular myocardium: specifically providing qualitative myocardial blood flow measurements for CT images. The application supports axial, ECG gated CT images, consisting of multiple time shots within the same myocardial region overtime (i.e., dynamic CT scans), after the injection of intravenous contrast. The application displays the results as a composite (single image that is calculated from a set of time course images at a single location) image.
### Type of Use (Select one or both, as applicable)
2 Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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## FOR FDA USE ONLY
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# 510(k) Summary
# CT DMP Application
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of 21 CFR 807.92.
- 1. General Information 21 CFR 807.92 (a)(1), (2) Company Name: Philips Medical Systems (Cleveland), Inc. 595 Miner Rd Address: Cleveland, Ohio 44143 USA Contact Person: Susan Quick Telephone Number: 440-483-2291 Prepared (date): 2013 Oct 25 Manufacturing Site: Philips Medical Systems PO Box 325 Matam Building 34 Haifa, Israel 31004 2. "Trade Name: CT Dynamic Myocardial Perfusion (DMP) Application Common Name: Accessory to Computed Tomography X-Ray System Classification: Class II Regulatory Section: Sec. 892.1750 Computed Tomography X-Ray System ProCode: 90JAK
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#### 3. Predicate Device Information:
The CT DMP Application is comparable in type and substantial equivalence to the leqally marketed devices currently in commercial distribution, namely:
- 1. Predicate Device: Philips Brain Perfusion
Manufacturer: Philips Medical Systems (Cleveland), Inc.
Predicate Device k#: K033677
- 2. Predicate Device: CardioCT
Manufacturer: Shina
Predicate Device k#: K070226
- 3. Predicate Device: Philips Brilliance Volume
Manufacturer: Philips Medical Systems (Cleveland), Inc.
Predicate Device k#: K060937
#### 4. Device Description:
## Summary of functions of the device and its maior components
The CT Dynamic Myocardial Perfusion (DMP) Application is intended for visualization and assessment of cardiac images focusing on the left ventricular myocardium: specifically providing qualitative myocardial blood flow measurements for CT images. The application supports axial, ECG gated CT images, consisting of multiple time shots within the same study of the same myocardial region over time. The application provides visualization and measurement tools for qualitative visualization and assessment of the input data. The data upon loading is first registered and filtered in the spatial and the temporal domain to reduce any noise variations, following which, the cardiac axes of the heart are detected using the automatic and manual tools. The images are displayed in the short-axis format and the clinician can then define the reqions of interest using manual tools upon the short axis format. The software calculates measurements of myocardial blood flow, myocardial blood volume, time to peak, and peak enhancements, and provides tools for the clinician to assess these results. The user may save the results. The clinician retains the ultimate responsibility for making the pertinent assessment based on their standard practices and visual assessment of the myocardial perfusion CT images. The qualitative assessment is to be used in coniunction with traditional visual assessment of CT images for the assessment of coronary artery disease.
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The different components in the CT DMP application are:
- CT DMP Models: ●
- . CT DMPViewingModel - Main model in the application. Holds all the relevant data for results: volume, tissue, etc.
CT DMP Algorithms:
- Artery Automatic Detection .
- Segmentation
- Cardiac Axes ●
- Spatio-temporal filtering ●
- Perfusion Maps Calculation
CT DMP Controllers:
- DMPBackgroundProcessing Used for activating long operations on a different . thread
- DMPBatchController Creation of a combined spatial-temporal batch and cine ●
- . ECGController - Used for showing ECG options.
CT DMP Tools:
- DMPSegmentationCorrectionTool
- AxesCorrectionTool .
- . ROITool
### 5. Indications for Use
The CT Dynamic Myocardial Perfusion (CT DMP) application is intended to assist clinicians in the visualization and diagnostic assessment of cardiac images focusing on the left ventricular myocardium: specifically providing qualitative myocardial blood flow measurements for CT images. The application supports axial, ECG gated CT images, consisting of multiple time shots within the same study of the same myocardial region over time (i.e., dynamic CT scans), after the injection of intravenous contrast. The application displays the results as a composite (single image that is calculated from a set of time course images at a single location) image.
### 6. Comparison to Predicate
- The CT DMP application, Philips Brain Perfusion, and the Philips Brilliance Volume ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------(Functional CT) all generate perfusion results including blood volume, blood flow, timeto-peak and mean transit time from dynamic (serial) CT scans. The Brilliance Volume Functional CT application is built to process serial CT datasets of the body while the CT DMP application processes ECG-gated serial CT datasets of the heart and myocardium; the underlying algorithm (Mullani-Gould formulation) is the same. Additionally, the segmentation and the cardiac axes generation used in the CT DMP are similar to the one implemented in Shina CardioCT.
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## Conclusion:
The Philips CT DMP application is similar to the predicate devices listed above, Philips Brain Perfusion, Philips Brilliance Volume, Shina CardioCT which have been cleared through premarketing notification. There are no significant differences between Philips CT DMP and the other predicate devices that may raise new issues of safety or effectiveness.
#### 7. Safetv
The Philips CT DMP application is manufactured in accordance with the Quality System Regulation (QSR) 21 CFR 820 and to International Standards ISO 13485:2003. Potential hazards are identified in a hazard analysis and controlled in the following manner: Software: Safety is assured by the company procedures that conform to accepted practices, including the FDA Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices. Instructions for Use are provided with the software application for the safe and effective operation of the application by the user.
#### 8. Performance Testing Summary
## Verification Activities:
Verification was conducted to provide objective evidence that the application met its design specifications. This was done by testing the function and implementation of the application as well as risk management file.
The narrative below provides a brief summary of the verification and validation activities. The details of the testing including test plans and reports can be found in Section 018 of this submission.
The verification plan for the CT DMP Application (DMP-007) outlines the verification activities conducted to verify the function of the application and product's stability. Testing included full functionality of CT DMP application and risk management file (RMF) related to defined requirements. The requirements for CT DMP are traced to the clinical DRS and detailed test scenarios were written and accordingly the verification was conducted [DMP-005]. CT DMP verification included sanity tests which gave an overview of the application maturity for each build, critical tests which included tests of the main features and workflow and RMF tests which in general check calculations, measurements, patient details and information and other scenarios which might lead to misdiagnosis. CT DMP Algorithm implementation was evaluated through a direct comparison of values obtained by comparing the performance of CT DMP and the Philips predicate, Brilliance Volume K060987, under the same use conditions. The values obtained in the comparison were similar or the same under all test conditions.
Full functionality testing included all CT DMP functionality cases and covered all of the detailed requirements which provided us with assurance that the tested features work as required. Verification also covered the defect fixes of CT DMP.
All the planned activities for verification have been completed.
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## Validation Activities:
The CT DMP validation activities, as documented in the DMP Validation Plan (DMP-009), were performed to provide objective evidence that the CT DMP Application meets the intended use and defined customer needs outlined in the DRS DMP-002.
Validation was performed externally to Philips on a laptop which met the HW requirements. The results of the validation activities found in the Validation Report for DMP (DMP-0010) confirms that the CT DMP Application meets user needs and intended uses.
Based on the above considerations, it is Philips's opinion that the results of the verification and validation testing and the results of the risk analysis demonstrates safety and effectiveness of the Philips CT DMP Application and that it is substantially equivalent to the predicate devices documented above.
Information on security and privacy attributes of the CT DMP Application are found in document ISP-600-P3-0021-01 which can be found in Section 021.
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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.