K131241 · Philips Medical Systems Nederland B.V. · LNH · Aug 30, 2013 · Radiology
Device Facts
Record ID
K131241
Device Name
SWIP
Applicant
Philips Medical Systems Nederland B.V.
Product Code
LNH · Radiology
Decision Date
Aug 30, 2013
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1000
Device Class
Class 2
Indications for Use
SWIp is a software option intended for use on Achieva and Ingenia 1.5T & 3.0T MR Systems. It's indicated for magnetic resonance imaging of the Brain. SWIp is a technique using phase information to enhance contrast between tissues presenting susceptibility differences, such as deoxygenated blood or some mineral deposits (e.g. calcium deposits). Due to this contrast enhancement, SWIp images are sensitive for structures containing venous blood such as cerebral venous vasculature. When used in combination with other clinical information. SWIp may help the expert radiologist in the diagnosis of various neurological pathologies.
Device Story
SWIp (Susceptibility Weighted Imaging with Phase enhancement) is a software option for Philips Achieva and Ingenia 1.5T/3.0T MR systems. It processes 3D FFE (Fast Field Echo) multiecho MR signals to generate high-resolution magnitude and phase images. The algorithm unwraps phase images to create Susceptibility Weighted Phase (SW-P) images, which are then combined with magnitude images to produce Susceptibility Weighted Magnitude (SW-M) images. These outputs highlight tissues with susceptibility differences, such as venous blood (hypo-intense) and mineral deposits. Operated by radiologists in clinical settings, the device integrates into existing MR workflows via ExamCard selection. The enhanced contrast aids radiologists in diagnosing neurological pathologies by visualizing cerebral venous vasculature and mineral deposits. It provides no hardware changes, running on the existing system's reconstructor computer.
Clinical Evidence
Clinical validation was performed to confirm that the SWIp software meets clinical user needs on Achieva and Ingenia 1.5T and 3T systems. The validation (DHF176223) confirmed that all clinical user needs were passed. No specific sensitivity, specificity, or AUC metrics were reported; the evidence relies on successful validation of clinical workflow and image utility for the intended diagnostic applications.
Technological Characteristics
Software-only feature for existing MR systems. Operates on HP Z400/Z420 reconstructor computers (3.6 GHz, 16-32 GB RAM, Windows 7 64-bit). Utilizes 3D FFE pulse sequences for data acquisition. Reconstruction involves phase unwrapping and magnitude/phase image combination. Connectivity is internal to the MR system; no external network connection. No off-the-shelf software used for the feature itself. Complies with cleared parameter limits of the host MR system (K110151).
Indications for Use
Indicated for magnetic resonance imaging of the brain in patients requiring assessment of neurological pathologies, specifically for enhancing contrast of tissues with susceptibility differences such as deoxygenated blood or mineral deposits (e.g., calcium).
Regulatory Classification
Identification
A magnetic resonance diagnostic device is intended for general diagnostic use to present images which reflect the spatial distribution and/or magnetic resonance spectra which reflect frequency and distribution of nuclei exhibiting nuclear magnetic resonance. Other physical parameters derived from the images and/or spectra may also be produced. The device includes hydrogen-1 (proton) imaging, sodium-23 imaging, hydrogen-1 spectroscopy, phosphorus-31 spectroscopy, and chemical shift imaging (preserving simultaneous frequency and spatial information).
Special Controls
*Classification.* Class II (special controls). A magnetic resonance imaging disposable kit intended for use with a magnetic resonance diagnostic device only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
Predicate Devices
ACHIEVA R4 1.5T and ACHIEVA R4 3.OT (aka Ingenia) (K110151)
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## Philips Medical Systems Nederland B.V.
## 510(k) Summary
# SWIp
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of 21 CFR 807.92.
| I. | General Information<br>21 CFR 807.92 (a)(1), (2) | | |
|----|--------------------------------------------------|----------------------------------------------------------------------------------------------|-------------|
| | Company Name: | Philips Medical Systems Nederland B.V. | |
| | Address: | Veenpluis 4-6<br>5684 PC Best<br>The Netherlands | AUG 30 2013 |
| | Registration No.: | 3003768277 | |
| | Contact Person: | Susan Quick<br>Tel: (440)-483-2291<br>Fax: (440)-483-4918<br>E-mail: susan.quick@philips.com | |
| | Prepared (date): | 2013 April 29 | |
| | Trade Name of Device: | SWIp | |
| | Classification: | Class II | |
| | Regulatory Section: | Magnetic Resonance Diagnostic Device.<br>892.1000 | |
| | Product Code: | 90LNH | |
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K13124/
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## 21 CFR 807.92(a)(3):Legally marketed predicate device to which substantial equivalence is claimed:
| 1. Predicate Device: | ACHIEVA R4 1.5T and ACHIEVA R4 3.OT (aka Ingenia) |
|----------------------|---------------------------------------------------|
| Manufacturer: | Philips Healthcare |
| Predicate Device k#: | K110151 |
| 2. Predicate Device: | Discovery MR450 |
| Manufacturer: | GE Healthcare |
| Predicate Device k#: | K083147 |
| 3. Predicate Device: | MAGNETOM Trio a Tim System |
| Manufacturer: | Siemens Medical Solutions |
| Predicate Device k#: | K050200 |
## 21 CFR 807.92(a)(4): Description of the device that is the subject of this premarket notification :
### Summary of functions of the device and its major components
SWIp (Susceptibility Weighted Imaging with Phase enhancement) exploits the susceptibility differences between tissues. It is based on a 3D FFE acquisition, multiecho compatible, generating high resolution magnitude and phase images.
Phase images are unwrapped to create Susceptibility Weighted Phase (SW-P) images highlighting phase changes due to local susceptibility differences. The magnitude images and SW-P information are combined to generate Susceptibility Weighted Magnitude (SW-M) images with enhanced susceptibility contrast. SW-M images show de-oxygenated blood, such as veins, as hypo-intense signals.
The feature requires:
- Specific parameter settings for the 3D FFE sequence, within cleared parameter . limits, to acquire the MR signals
- A new calculation function to generate SW-M and SW-P images. This function uses . a set of MR images as input that is generated in a cleared manner from the acquired MR signals.
- · The new images need to be stored and displayed with the appropriate labels (SW-M and SW-P), applying the facilities provided by the cleared platform.
## 21 CFR 807.92(a)(5); Intended Use
SWIp is a software option intended for use on Achieva and Ingenia 1.5T & 3.0T MR Systems. It's indicated for magnetic resonance imaging of the Brain. SWIp is a technique using phase information to enhance contrast between tissues presenting susceptibility differences, such as deoxygenated blood or some mineral deposits (e.g. calcium deposits). Due to this contrast enhancement, SWIp images are sensitive for structures containing venous blood such as cerebral venous vasculature. When used in
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combination with other clinical information. SWIp may help the expert radiologist in the diagnosis of various neurological pathologies.
### 21 CFR 807.92(a)(6): Technological Characteristics:
The main functional units in the software are:
- Methods (acquisition of MR signals by means of MR pulse sequences)
- Reconstruction (transforming the MR signals to images)
- Patient Administration {storing of the images in the database and providing access}
- Viewing (display of images)
The technical impact of the feature SWIp comprises:
- Methods: modify an existing sequence to acquire the data required for SWIp, within the cleared limits provided by the basic MR system.
- Reconstruction: add a new calculation function that generates the new output images SW-M and SW-P.
- Patient Administration and Viewing: enable storage and display of the new output images with appropriate labels (SW-M and SW-P).
No off-the-shelf software is used for the feature SWIp. The off-the-shelf software used in the basic MR system for the Ingenia and Achieva 1.5T and 3.0T MR systems machine is cleared by K110151.
SWIn is not designed to be connected to an external network.
### Hardware platform description
SWIp does not require any change of the hardware platform. The main extension introduced by SWIp, the new reconstruction algorithm, runs on the Reconstructor computer.
Computer characteristics:
- Manufacturer: HP; Model: Z400 or Z420; Processor clock: 3.6 GHz; RAM: 16-. 32 GB RAM: Processors: 1-2 x quad core
- Operating system: Windows 7, 64 bits .
The SWIp algorithm does not add specific requirements to the Ingenia and Achieva 1.5T and 3.0T. MR systems machine as cleared by K110151.
### Workflow
The only new element for the operator of the SWIp-feature in this clinical routine workflow is:
- 1. Protocol selection: The operator selects an ExamCard with SWIp protocols
- 2. Planscan phase: Optionally the operator may want to change the predefined selection of output image-types
All other steps are not changed. The generated image types can be viewed, postprocessed, printed and archived as any other image type.
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K131241
d or Page 4 of 4
## 21 CFR 807.92(b)(1): Brief discussion of nonclinical tests submitted, referenced o relied on in this premarket notification:
The non-clinical tests that are included in the submission are as follows
- · DHF176222 Verification Test Report
The conclusion from testing the device is:
All the tests performed for SWIp were successful. While using SWIp, the system didn't crash or hang-up. Workflow was smooth and no problems occurred.
### 21 CFR 807.92(b)(2): Brief discussion of clinical tests submitted, referenced or relied on in this premarket notification:
The clinical user needs are tested as part of the validation.
- DHF176223 Validation Test Report .
The conclusion from testing the device is:
The clinical validation of SWIp has completed successfully. All clinical user needs are passed for Achieva and Ingenia. 1.5T and 3T systems.
## 21 CFR 807.92(b)(3): The conclusions drawn from the nonclinical and clinical tests that demonstrate that the device is as safe, as effective, and performs as well as or better than the legally marketed device identified in paragraph (a)(3) of this section:
The nonclinical and clinical tests have demonstrated that the device is safe and works according to its intended use.
The SWip software does not introduce new indications for use, nor does the use of the device result in any new potential hazard. Philips Medical Systems considers SWIp to be substantially equivalent to the above mentioned predicate devices.
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## DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/4/Picture/1 description: The image shows the logo for the Department of Health & Human Services (HHS). The logo consists of the HHS symbol, which is a stylized representation of a human form, and the text "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" arranged in a circular fashion around the symbol. The symbol is composed of three curved lines that resemble a person with outstretched arms. The text is in all caps and is relatively small compared to the symbol.
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
August 30, 2013
Philips Medical Systems Nederland B.V. % Ms Susan Quick Regulatory Affairs Specialist Philips Medical Systems (Cleveland) Inc. 595 Miner Road CLEVELAND OH 44143
Re: K131241
Trade/Device Name: SWIp Regulation Number: 21 CFR 892.1000 Regulation Name: Magnetic resonance diagnostic device Regulatory Class: II Product Code: LNH Dated: July 30, 2013 Received: July 31, 2013
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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Page 2-Ms. Quick
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Small Manufacturers, International and Consumer Assistance at its tollfree number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR 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/ReportalProblem/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.lda.gov/MedicalDevices/ResourcesforYou/Industrv/default.htm.
Sincerely yours,
Michael D. O'Hara
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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## Indication for use
510(k) Number (if known):
#### SWIp Software option for ACHIEVA 1.5T and 3.0T, INGENIA 1.5T and Device Name: 3.0T MR Systems
Indication For Use:
SWIp is a software option intended for use on Achieva and Ingenia 1.5T & 3.0T MR Systems. It's indicated for magnetic resonance imaging of the Brain. SWIp is a technique using phase information to enhance contrast between tissues presentibility differences, such as deoxygenated blood or some mineral deposits (e.g. calcium deposits). Due to this contrast enhancement, SWIp images are sensitive for structures containing venous blood such as cerebral venous vasculature. When used in combination with other clinical information, SWIp may help the expert radiologist in the diagnosis of various neurological pathologies.
Prescription Use メ (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 IF NEEDED]
Concurrence of CDRH, Office of In Vitro Devices and Radiologic Health (OIR)
Michael D. O'Hara.
Division Sign-Off Office of In Vitro Devices and Radiologic Health
510(k) K131241
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.