K092925 · Ge Medical Systems, LLC · LNH · Jan 6, 2010 · Radiology
Device Facts
Record ID
K092925
Device Name
3D ASL
Applicant
Ge Medical Systems, LLC
Product Code
LNH · Radiology
Decision Date
Jan 6, 2010
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1000
Device Class
Class 2
Indications for Use
3D ASL is a software option intended for use on GE 1.5T and 3.0T MR systems. It is indicated for magnetic resonance imaging of the brain. 3D ASL allows for generation of maps representing blood flow without the use of an exogenous contrast agent. 3D ASL utilizes water in arterial blood as an endogenous contrast media, to visualize tissue perfusion and evaluate cerebral blood flow (CBF). When interpreted by a trained physician, images generated by 3D ASL provide information that can be useful in determining a diagnosis.
Device Story
3D ASL is a software option for GE 1.5T and 3.0T MR systems; utilizes arterial blood water as endogenous tracer for non-invasive perfusion imaging. Operates via pulsed-continuous labeling method using short RF pulse trains for adiabatic inversion of blood spins; control images acquired without inversion. Subtraction of labeling and control images yields perfusion-weighted data; combined with proton density weighted images to compute quantitative cerebral blood flow (CBF) maps. Employs 3D fast spin echo (FSE) with spiral readout for whole-brain coverage and motion robustness; background suppression pulses reduce motion sensitivity. Used by radiologists/physicians to visualize brain perfusion and assist in clinical diagnosis. Benefits patients by providing quantitative blood flow information without exogenous contrast agents.
Clinical Evidence
Clinical evaluation performed via volunteer imaging to validate the 3D ASL technique. Bench testing included risk analysis, requirements/design reviews, and verification/validation. Safety parameters measured: acoustic noise, dB/dt, and SAR. Performance parameters measured: reproducibility, repeatability, and signal-to-noise ratio (SNR).
Technological Characteristics
Software option for GE 1.5T/3.0T MR systems. Uses pulsed-continuous labeling method with short RF pulse trains for adiabatic inversion. Acquisition via 3D FSE with spiral readout. Includes background suppression via selective/non-selective inversion pulses. Connectivity: integrated into GE MR system software.
Indications for Use
Indicated for magnetic resonance imaging of the brain in patients requiring visualization of tissue perfusion and evaluation of cerebral blood flow (CBF) without exogenous contrast agents. Intended for use on GE 1.5T and 3.0T MR systems by trained physicians.
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.
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'JAN - 6 2010
#### 510(k) Summary
In accordance with 21 CFR 807.92 the following summary of information is provided:
Date: 09/18/2009 Submitter: GE Healthcare, (GE Medical Systems, LLC) 3200 N. Grandview Blvd. Waukesha, WI 53188 USA Yuan Ma Person: Regulatory Affairs Leader GE Healthcare 3200 N Grandview Blvd., Mail Code: W-828 Waukesha, WI-53188 USA Phone: 262 521 6223 Fax: 414 908 9390 Glen Sabin Regulatory Affairs Manager GE Healthcare (GE Medical Systems, LLC.) Establishment Registration Number: 2183553 3200 N Grandview Blvd., Mail Code - W-827 Waukesha, WI-53188 USA. Phone: 262-521-6848
Primary Contact
# Secondary Contact Person:
Regulatory Affairs Manager
GE Healthcare (GE Medical Systems, LLC.)
Establishment Registration Number: 2183553
3200 N Grandview Blvd., Mail Code - W-827
Waukesha, WI - 53188
USA
Phone: 262-521-6848
| <b>Device: Trade Name:</b> | 3DASL |
|------------------------------|--------|
| <b>Common/Usual Name:</b> | 3D ASL |
| <b>Classification Names:</b> | 21 CFR |
| <b>Product Code:</b> | 90-LNH |
K083147, Discovery MR450 (GE Medical Systems, LLC) Predicate Device(s):
892.1000
Device Description:
K072237, MAGNETOM Verio (Siemens AG)
Arterial Spin Labeling (ASL) is an MR technique using the water in arterial blood as an endogenous tracer to evaluate perfusion non-invasively. It provides a non-contrast way to visualize brain perfusion and functional physiology by allowing quantitative cerebral blood flow (CBF) measurements.
GE 3D ASL is an integration of a novel pulsed-continuous labeling technique and a 3D fast spin echo (FSE) acquisition.
Section 5 - 510(k) Summary
3D ASL Traditional 510(k)
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3D ASL 510(k) Premarket Notification
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The application involves performing inversion of the spins using multiple RF pulses (based on the theory of adiabatic inversion) to label the artery blood spins for the first labeling image. The second image acquisition (also known as control) is performed without inversion of the blood spins. The subtraction of the labeling and control images gives perfusion-weighted images. Additional acquisition of proton density weighted images is then used in combination with the difference images to compute quantitative cerebral blood flow.
The pulsed continuous labeling allows for high labeling efficiency leading to high SNR perfusion images while the 3D FSE readout allows for whole brain coverage and robustness to susceptibility artifacts. The high labeling efficiency is in part due to significantly reduced Magnetization Transfer (MT) effects. The short RF pulses also lead to a significant decrease in the duty cycle when compared to continuous labeling. In addition background suppression is used to reduce the sensitivity of 3D ASL to motion artifacts.
## Intended Use:
3D ASL is a software option intended for use on GE 1.5T and 3.0T MR systems. It is indicated for magnetic resonance imaging of the brain.
3D ASL allows for generation of maps representing blood flow without the use of an exogenous contrast agent. 3D ASL utilizes water in arterial blood as an endogenous contrast media, to visualize tissue perfusion and evaluate cerebral blood flow (CBF).
When interpreted by a trained physician, images generated by 3D ASL provide information that can be useful in determining a diagnosis.
Technology:
3D ASL uses pulsed continuous labeling method to achieve the effects of continuous labeling. A train of very short RF pulses is used to obtain inversion (label) of blood spins. The amplitude and phase of the RF pulses are adjusted to achieve the labeling. In addition multiple selective and non-selective inversion pulses are employed to obtain static tissue suppression (aka background suppression). This allows for limited motion insensitivity as well as higher dynamic range for the perfusion images. 3DFSE with spiral readout is used for acquisition, combining the robustness of 3DFSE method and inherent oversampling nature of spiral trajectory. 3D ASL employs the same fundamental scientific technology as its predicate devices.
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K092925
page 3/3
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# GE Healthcare
3D ASL: 510(k) Premarket Notification
# Determination of Substantial Equivalence:
# Summary of Testing:
The 3D ASL application complies with voluntary standards as detailed in Section 9 of this premarket submission. The following quality assurance measures were applied to the development of the application:
Risk Analysis
Requirements Reviews
Design Reviews
Design Verification
Design Validation
The following safety parameters have been measured:
Acoustic noise
dB/dt
SAR
The following performance parameters have been measured:
Reproducibility
Repeatability
Signal-to-noise ratio (SNR)
The following clinical testing has been performed to validate the 3D ASL technique:
Clinical evaluation
Volunteer imaging
# Conclusion:
GE Healthcare considers the 3D ASL to be as safe, as effective, and performance is substantially equivalent to the predicate device(s).
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Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
Mr. Yuan Ma Regulatory Affairs Leader, MR Modality GE Medical Systems LLC 3200 N. Grandview Blvd. WAUKESHA WI 53188
JAN - 3 2010
Re: K092925
Trade/Device Name: 3D ASL Regulation Number: 21 CFR 892.1000 Regulation Name: Magnetic resonance diagnostic device Regulatory Class: II Product Code: LNH Dated: December 11, 2009 Received: December 14, 2009
#### Dear Mr. Ma:
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 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
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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.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. 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/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/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely yours,
Janine M. Morris
Acting Director, Division of Reproductive, Abdominal, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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K U42725
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GE Healthcare 3D ASL 510(k) Premarket Notification
510(k) Number (if known): K092925
Device Name: 3D ASL
## Indications for Use:
3D ASL is a software option intended for use on GE 1.5T and 3.0T MR systems. It is indicated for magnetic resonance imaging of the brain.
3D ASL allows for generation of maps representing blood flow without the use of an exogenous contrast agent. 3D ASL utilizes water in arterial blood as an endogenous contrast media, to visualize tissue perfusion and evaluate cerebral blood flow (CBF).
When interpreted by a trained physician, images generated by 3D ASL provide information that can be useful in determining a diagnosis.
Prescription Use_ X (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (Part.21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Helent Reen
(Division Sign-Off) Division of Reproductive, Abdominal, and Radiological Devices 510(k) Number
Section 4 - Indications for Use Statement
3D ASL Traditional 510(k)
4-2 of 2
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.