This device is a Computed Radiography System and intended for use in producing digital X-Ray images for general radiography purposes. It comprises of scanner, cassette with reusable phosphor storage plate (IP) and workstation software. It scans X-Ray exposed image plate and produces X-Ray image in digital form. Then, digital image is transferred to workstation for further processing and routing. This device is intended to be operated in a radiological environment by qualified staff. This device is not intended for the acquisition of mammographic image data.
Device Story
Computed Radiography (CR) scanner; utilizes reusable X-ray storage phosphor plates (IP) to capture latent X-ray images. Device scans exposed IP using laser; releases latent image as light; photomultiplier tube (PMT) converts light to digital signal. QuantorMed software performs digital filtering, gain/offset correction, and flat fielding. Output viewed on workstation; stored locally, printed, or sent to PACS. Used in radiological environments by qualified staff. Benefits include digital image acquisition, high throughput via dual-direction scanning, and adjustable resolution (100μm/200μm) for diagnostic flexibility.
Clinical Evidence
Bench testing only. Performance testing conducted per FDA guidance 'Guidance for the Submission of 510(k)'s for Solid State X-ray Imaging Devices' and safety/EMC testing per IEC 60601-1 and IEC 60601-1-2. All test results were satisfactory.
Indicated for general radiography imaging in radiological environments by qualified staff. Not for mammography.
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.
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This summary of 510(k) safety and effectiveness information is being submitted in accordance with requirements of 21 CFR Part 807.92.
Date prepared: June. 20, 2010
1. Company and Correspondent making the submission: Name - 3D Imaging & Simulations Corp. Address - 815, Tamnip-Dong, Yuseong-Gu, Daejeon, Korea Telephone - +82-42-931-2100 Fax - +82-42-931-2299 Contact - Jiin Jung / Vice President E-mail - jiinjung@3-disc.com
- 2. Device :
Trade/proprietary name : FireCR Common Name : Computed Radiography Scanner Classification Name : Solid-State X-ray Imaging system
3. Predicate Devices :
| Manufacturer | : AGFA Corporation |
|---------------|------------------------------------------|
| Device | : ADC Compact Plus |
| 510(k) Number | : K013138(Decision Date - Sep. 28, 2001) |
### 4. Classifications Names & Citations :
21CFR 892.1650, MQB - Solid-State X-ray Imaging system, Class 2
#### 5. Description :
#### 5.1 General
The FireCR is Computed Radiography System which produces the X-ray diagnostic image in digital formation wasn't broutinnal screens and film. This device utilizes reusable X-ray storage phosphor plate (IP) that is sensitive to X-ray and stores latent image when it is exposed to X-ray. After X-ray exposure to the X-ray storage phosphor plate, X-ray storage phosphor plate is scanned by means of laser in the device. Latent image in the X-ray storage phosphor plate is released in a form of light by laser scanning. Then the light is collect and converted into a form of digital image. The signal processing is made to the digital image data such as the digital filtering, the gain & offset correction and flat flelding. The image can then be viewed on a computer workstation, adjusted if necessary, then stored locally, sent to an archive, printed or sent to PACS system. After acquisition of latent image from the X-ray storage phosphor plate, it is erased thoroughly to be reused.
#### 5.2 Main Features
#### Scanning Mechanism
FireCR employs a scanning mechanism using swing mirror to construct its compact and rigid structure.
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High Throughput
lts unique and patented dual direction scanning mechanism enables to improve the efficiency and high throughput.
Scanning Resolution
User selectable resolution of 100μm and 200μm allows user to make diagnosis on variable purposes.
Detector
High sensitive photomultiplier tube equlpped in FireCR delivers high gain, wide dynamic range and high speed response for radiographic imaging.
Powerful Acquisition and Diagnostic Software
QuantorMed Acquisition and Diagnostic Software is supplied with every FireCR, and Its accurate and rapid data processing make the scanner more powerful.
5.3 Product features
- Photomultiplier Tube : (PMT)
- 14" x17" imaging area.
- Wide dynamic range with 16-bit digitization
- Image process parameters are selectable according to the body part to make best images for diagnosis
- DICOM3.0 standard compliance
- Image Format : 3500 x 4300
- User Selectable Scanning Resolution : 100um and 200um
6. Indications for use :
This device is a Computed Radiography Scanner and intended for use in producing digital X-Ray lmages for general radiography purposes. It comprises of scanner, cassette with reusable imaging plate and workstation software. It scans X-Ray exposed image plate and produces X-Ray lmage in digital form. Then, digital image is transferred to workstation for further processing and routing. This device is intended to be operated in a radiological environment by qualified staff. This device is not approved for the acquisition of mammographic image data.
7. Comparison with predicate device :
3D Imaging & Simulations Corp. believes that the Computed Radiography Scanner (FireCR) is substantially equivalent to ADC Compact Plus of AGFA Corporation.
8. Safety, EMC, Biocompatibility and Performance Data :
Electrical, mechanical, environmental safety and performance testing according to standard IEC 60601-1 was performed, and EMC testing was conducted in accordance with standard IEC 60601-1-2(2001).
Non-clinical & Clinical considerations according to FDA Guidance "Guidance for the Submission of 510(k)'s for Solid State X-ray Imaging Devices" was performed. All test results were satisfactory.
- 9. Conclusions :
In accordance with the Federal Food, Drug and Cosmetic Act, 21 CFR Part 807 and based on the information provided in this premarket notification 3D Imaging & Simulations Corp. concludes that the Digital Radiography System(FireCR) is safe and effective and substantlally equivalent to predicate devices as described herein.
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Image /page/2/Picture/0 description: The image shows the logo for the Department of Health & Human Services. The logo consists of a blue graphic on the left and the text "DEPARTMENT OF HEALTH & HUMAN SERVICES" on the right. The graphic is a stylized representation of a human figure, and the text is in a sans-serif font.
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
3DISC Americas % Mr. Daniel Kamm, P.E. Submission Correspondent Kamm & Associates 8870 Ravello Court NAPLES FL 34114
AUG 2 3 2013
Re: K102619
Trade/Device Name: Computed Radiography Scanner/FireCR Regulation Number: 21 CFR 892.1680 Regulation Name: Stationary x-ray system Regulatory Class: II Product Code: MOB Dated: March 1, 2011 Received: March 3, 2011
Dear Mr. Kamm:
This letter corrects our substantially equivalent letter of May 13, 2011.
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into class II (Special Controls), it may be subject to such additional controls. Existing major regulations affecting your device can be found in Title 21, Code of Federal Regulations (CFR), Parts 800 to 895. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Parts 801 and 809); medical device reporting (reporting of
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medical device-related adverse events) (21 CFR 803); and good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820). This letter requirenceds as set form in the quality of the as described in your Section 5100k) premarket will allow you to begin marketing your device of your device to a legally marketed nothication. The FDA inding of Saccian for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFF Parts 801 and II you desire specific advice for your device of the riseenig cover in the first of the may of 607), prease vonaot the regulation entitled, "Misbranding by reference to premarket 1450. Also, please note the regarding the regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to under the MDA regulation (21 CF RT at 800), promo goblem/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 Tour may of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely Yours,
Janine M. Morris
Acting Director Division of Radiological Devices Office of In Vitro Diagnostic Device Evaluation and Safety Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number(if known): K10
Device Name: Computed Radiography Scanner / FireCR
Indications for Use:
This device is a Computed Radiography System and intended for use in producing digital X-Ray images for general radiography purposes. It comprises of scanner, cassette willta reusable phosphor storage plate (IP) and workstation software. It scans X-Ray exposed image plate and produces X-Ray image in digital form. Then, digital image is transforred to workstation for further processing and routing. This device is intended to be aneroned in a radiological environment by qualified staff.
This device is not intended for the acquisition of mammographic image data.
Prescription Use_ X (Part 21 CFR 801 Subpart D)
AND/OR Over-The-Counter Use (Part 21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of In Vitro Diagnostic Devices (OIVD)
Page 1 of 1
Tad D. O'Hern
(Division Sign-Off)
(Division Sign-Off)
Division of Radiological Devices
Office of In Vitro Diagnostic Device Evaluation and Safety
14
810K K102619
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Image /page/5/Picture/0 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is a stylized image of an eagle, rendered in blue. The eagle's wings are curved and flowing, giving the impression of movement.
# DEPARTMENT OF HEALTH & HUMAN SERVICES
### MEMORANDUM
Food and Drug Administration 10903 New Hampshire Avenue Document Mail Center - WO66-G609 Silver Spring, MD 20993-0002
Date: August 15, 2012 From: William C. Jung
To: The Record
Subject: Reassignment of Regulation Number for MQB
> 510(k) K102619, Computed Radiography Scanner/FireCR was originally assigned a Product Code of MQB (solid state x-ray imager (flat panel/digital imager) under regulation number, 21 CFR 892.1650, image-intensified fluoroscopic x-ray system. The Product Code MQB is being reassigned under 21 CFR 892.1680.
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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.