Diagnostic quality images exceed the quality of the predicate software
Clinical images with added simulated noise
—
Clinical evaluation by board certified radiologists
>1 (board certified radiologists)
Indications for Use
The software performs digital enhancement of a radiographic image generated by an x-ray device. The software can be used to process adult and pediatric x-ray images. This excludes mammography applications.
Device Story
Eclipse II with Smart Noise Cancellation is an optional software module for Carestream ImageView console software; it enhances projection radiography images from CR and DR detectors. The device processes raw radiographic images by passing them through a Convolutional Neural Network (CNN) to generate a 2D noise map, followed by noise suppression and standard Eclipse II image processing. Used in clinical settings by radiologists and physicians to improve image quality attributes like brightness, contrast, detail, and noise appearance. The output is an enhanced image intended to assist in clinical diagnosis. The device benefits patients by providing diagnostic-quality images, potentially at lower exposure levels, by mitigating noise artifacts.
Clinical Evidence
Clinical evaluation performed by board-certified radiologists using a 5-point visual difference scale and the 4-point RadLex scale for diagnostic capability. Results demonstrated that the investigational software delivers diagnostic quality images exceeding the predicate software across various exams, detector types, and exposure levels.
Technological Characteristics
Software-based image enhancement for projection radiography. Features a Smart Noise Cancellation module utilizing a U-Net architecture Convolutional Neural Network (CNN). Integrates with existing ImageView acquisition software. Operates on digital radiography images (CR/DR). Risk management performed per ISO 14971.
Indications for Use
Indicated for digital enhancement of radiographic images generated by x-ray devices in adult and pediatric patients. Excludes mammography applications.
Regulatory Classification
Identification
A stationary x-ray system is a permanently installed diagnostic system intended to generate and control x-rays for examination of various anatomical regions. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
Special Controls
*Classification.* Class II (special controls). A radiographic contrast tray or radiology diagnostic kit intended for use with a stationary x-ray system only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
{0}------------------------------------------------
April 2, 2021
Image /page/0/Picture/1 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Carestream Health, Inc. % Gina Maiolo Sr. Manager Regulatory Affairs, Clearance & Surveillance 150 Verona Street ROCHESTER NY 14608
# Re: K202441
Trade/Device Name: Eclipse II with Smart Noise Cancellation Regulation Number: 21 CFR 892.1680 Regulation Name: Stationary x-ray system Regulatory Class: Class II Product Code: MQB Dated: February 16, 2021 Received: February 19, 2021
# Dear Gina Maiolo:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see
{1}------------------------------------------------
https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-leam). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE(@tda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Michael D. O'Hara
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K202441
#### Device Name Eclipse II with Smart Noise Cancellation
Indications for Use (Describe)
"The software performs digital enhancement of a radiographic image generated by an x-ray device. The software can be used to process adult and pediatric x-ray images. This excludes mammography applications."
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
# 510(k) Summary
| 510(k) Owner Name | Carestream Health, Inc. |
|----------------------------------|--------------------------------------------------------------------------------|
| 510(k) Owner Address | 150 Verona Street<br>Rochester, New York 14608 |
| 510(k) Owner Contact Information | Gina Maiolo<br>Regulatory Affairs Manager<br>email: gina.maiolo@carestream.com |
| Phone (Work) | 585.627.6543 |
| Phone (Mobile) | 516.395.0597 |
| Date Summary Prepared | March 30 2021 |
| Device Trade Name | Eclipse II with Smart Noise Cancellation |
| Device Common Name | Solid State X-Ray Imager |
| Device Class | Class II |
| Product Code | MQB |
| Regulation Number | 21 CFR 892.1680 |
| Regulation Description | Stationary X-ray system |
| Predicate Device | Eclipse II 510(k) K180809 |
Carestream Health, Inc. is submitting this Traditional 510(k) premarket notification for modifications to the Eclipse II with Smart Noise Cancellation. Carestream believes that the modified device is substantially equivalent to the cleared device (K180809).
# Indications for Use
"The software performs digital enhancement of a radiographic image generated by an x-ray device. The software can be used to process adult and pediatic x-ray images. This excludes mammography applications."
# Device Description
Eclipse software runs inside the ImageView product application software (also namely console software). The Eclipse image processing software II with Smart Noise Cancellation is similar to the predicate Eclipse image processing software (K180809). Eclipse with Smart Noise Cancellation is an optional feature that enhances projection radiography acquisitions captured from digital radiography imaging receptors (Computed Radiography (CR) and Direct Radiography (DR). The modified software is considered an extension of the
{4}------------------------------------------------
Image /page/4/Picture/0 description: The image shows the word "Carestream" in orange font. The font is sans-serif and appears to be bolded. The word is horizontally oriented and centered in the image.
software (it is not stand alone and is to be used only with the predicate device supports the Carestream DRX family of detectors, this includes all CR and DR detectors. The primary difference between the predicate and the subject device is the addition of a Smart Noise Cancellation module. The Smart Noise Cancellation module consists of a Convolutional Network (CNN) trained using clinical images with added simulated noise to represent reduced signal-to-noise acquisitions. Eclipse with Smart Noise Cancellation (modified device) incorporates enhanced noise reduction prior to executing Eclipse II image processing software.
## Technological Characteristics
Eclipse software enhances projection radiography acquisitions captured from digital radiography imaging receptors (Computed Radiography (CR) and Direct Radiography (DR) which is the same as the predicate software K180809. The software was modified to include the support for Smart Noise Cancellation. This Smart Noise Cancellation module consists of a Convolutional Network (CNN), trained using clinical images with added simulated noise to represent reduced signal-to-noise acquisitions. The main difference between the modified and predicate device is the Smart Noise Cancellation module only. The comparison chart below demonstrates the similarities to further support that the overall image processing architecture is the same between the predicate and modified device.
- . Both the predicate and modified device is software designed for the enhancement of the raw images captured from the digital flat panel detectors (detectors have obtained separate clearances). The enhancement image processing intends to present an image with proper image quality attributes (brightness, latitude, overall contrast and detail, sharpness, and noise appearance) for the purpose of helping radiologists and physicians to make a diagnosis (same as the predicate).
- The difference in the modified software is the implementation of noise suppression prior to enhancement . processing. The Smart Noise Cancellation operation passes the acquired preprocessed image through a specially trained Convolutional Network (CNN) based on a U-Net architecture to generate a 2D map of the estimated noise found in the image, identified in the document as a "Noise Field." This change does not raise new questions regarding safety and effectiveness. Risks were assessed in accordance to ISO 14971 and evaluated and reduced as far as possible with risk mitigations and mitigation evidence.
- O The modifications to the ImageView software, (acquisition software for digital radiography systems) has been modified to enable/disable the Eclipse II with Smart Noise Cancellation. These user interface changes are described in detail in the Substantial Equivalence discussion and do not introduce new risks or raise new questions pertaining to safety and effectiveness.
- . The difference in image processing paths between the predicate and modified device demonstrate that the noise level in images processed thru the modified software (Eclipse II with Smart Noise Cancellation) is greatly reduced when compared with the image processed thru the predicate software. Eclipse II.
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image shows the word "Carestream" in orange font. The font is sans-serif and appears to be bolded. The word is centered in the image and takes up most of the space. The background is white.
#### Summary of Non-Clinical Testing
There are two non-clinical testing reports to demonstrate substantial equivalence.
- . The report for the Analysis of the Difference Images is the images processed with the investigational software (Eclipse II with Smart Noise Cancellation) and the predicate software (Eclipse II). The report focused on the analysis of the residual image artifacts. In conclusion, the images showed no substantial residual edge information within regions of interest.
- . The report for the Ideal Observer Evaluation is based on simulated lesions on chest images. The evaluation demonstrated that detectability is preserved or improved with the investigational software for all supported detector types and exposure levels tested.
A complete list of the supported detectors:
- . DRX Plus 3543 & DRX Plus 4343 (K150766), DRX-L (GOS) (K190611)
- DRX Plus 3543C & DRX Plus 4343C (K153142), Lux 3543C (CsI) (K203159) .
- . DRX Plus 2530C (K183245)
- . Carestream DRX-1 System w/DRX-1 Detector (K090318)
- DRX-1C (K120062), DRX 2530C (CsI) (K130464) .
#### Summary of Clinical Testing
A clinical evaluation was performed by board certified radiologists.
The images were evaluated using a 5-point visual difference scale (-2 to +2) tied to diagnostic confidence. Additionally, the overall diagnostic capability of each image was evaluated using the 4-point RadLex scale. The statistical test results and graphical summaries demonstrate that the investigational software delivers diagnostic quality images that exceed the quality of the predicate software over a range of exams, detector types and exposure levels.
#### Conclusion of Testing
The software modifications do not significantly affect fundamental design, technology, device materials, or packaging. Additionally, the investigational and predicate are substantially equivalent as a result of the following:
- . The performance of the investigational software is the same as or better than the predicate software.
- The differences within the software do not raise new or different questions of safety and . effectiveness.
- . The intended use for both the investigational and predicate software remain the same.
{6}------------------------------------------------
# Carestream
A comparison chart provides similarities and differences between the modified and predicate device.
| Attribute | Eclipse II Predicate Device<br>(K180809) | Eclipse II with Smart<br>Noise Cancellation<br>(K202441) |
|-----------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------|
| Indications for Use | "The software performs digital enhancement of a<br>radiographic image generated by an x-ray device. The<br>software can be used to process adult and pediatric x-ray<br>images. This excludes mammography applications." | same |
| Grid Suppression | Analysis for and removes grid frequencies from the<br>image. | same |
| Image Segmentation | Image analysis that identifies the anatomy of interest<br>by detecting direct exposure and collimator blades. | same |
| Recognition | Optional tech assist features on chest exams that<br>provide auto-orientation (head-up), identify clipped<br>lung bases and provide a CNR image quality metric. | same |
| Parameter Prediction | Automatic determination of rendering parameters<br>based upon features extracted from histograms of the<br>image in support of (4) to (10) frequency bands. | same |
| Enhanced<br>Noise<br>Reduction Support | no | yes |
| Rendering (frequency<br>decomposition and<br>enhancement) | (4) to (10) frequency bands. | same |
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.