Retrospective clinical datasets were used to perform direct predicate comparisons for scan processing, segmentation, and thresholding to verify software specifications and support substantial equivalence.
COPDGene and DIR-Lab dataset analysis; Retrospective analysis of existing clinical CT datasets
Patients with COPD (COPDGene) and thoracic CT datasets (DIR-Lab)
VIDA Pulmonary Workstation 2 (K083227)
Scan processing completion, segmentation accuracy, and thresholding performance
Indications for Use
The Imbio CT Lung Density Analysis Software provides reproducible CT values for pulmonary tissue, which is essential for providing quantitative support for diagnosis and follow up examinations. The Imbio CT Lung Density Analysis Software can be used to support the physician in the diagnosis and documentation of pulmonary tissue images (e.g., abnormalities) from CT thoracic datasets. Three-D segmentation and isolation of sub-compartments, volumetric analysis, density evaluations, and reporting tools are provided.
Device Story
Software processes DICOM CT thoracic datasets; performs image segmentation, registration, thresholding, and classification of pulmonary tissue. Operates as command-line executable; runs via command-line or scripting. Generates reports and DICOM output with segmented lungs and color-coded overlays representing classification results. Used by physicians to support diagnosis and documentation of pulmonary abnormalities. Does not interface directly with CT equipment; imports previously generated data files. Provides reproducible CT values, volumetric analysis, and sub-compartment isolation to assist clinical decision-making and patient follow-up.
Clinical Evidence
No clinical data. Substantial equivalence supported by non-clinical bench testing using COPDGene and DIR-Lab datasets. Testing included direct predicate comparison for scan processing, segmentation, and thresholding, alongside software verification and validation at unit, integration, and system levels.
Technological Characteristics
Software-based image post-processing application. Algorithms perform segmentation, registration, thresholding, and classification. Operates on DICOM CT datasets. Command-line interface. No direct hardware interface. Software development includes risk assessment, configuration management, and version control.
Indications for Use
Indicated for physicians requiring quantitative support for diagnosis and follow-up of pulmonary tissue abnormalities using CT thoracic datasets.
Regulatory Classification
Identification
A computed tomography x-ray system is a diagnostic x-ray system intended to produce cross-sectional images of the body by computer reconstruction of x-ray transmission data from the same axial plane taken at different angles. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
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Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a stylized depiction of a caduceus, which is a symbol featuring a staff with two snakes entwined around it. The caduceus is positioned to the right of the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA", which is arranged in a circular fashion around the caduceus.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 17, 2014
Imbio LLC % Mr. Jason Sheard Director of Operations 227 Colfax Avenue N., Suite 144 MINNEAPOLIS MN 55405
Re: K141069
Trade/Device Name: Imbio CT Lung Density Analysis Software Regulation Number: 21 CFR 892.1750 Regulation Name: Computed tomography x-ray system Regulatory Class: II Product Code: JAK Dated: April 14, 2014 Received: August 19, 2014
Dear Mr. Sheard:
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. If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041
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or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Smh.f)
for
Janine M. Morris Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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### Indications for Use
510(k) Number (if known) K141069
Device Name Imbio CT Lung Density Analysis Software
#### Indications for Use (Describe)
The Imbio CT Lung Density Analysis Software provides reproducible CT values for pulmonary tissue, which is essential for providing quantitative support for diagnosis and follow up examinations. The Imbio CT Lung Density Analysis Software can be used to support the diagnosis and documentation of pulmonary tissue images (e.g., abnormalities) from CT thoracic datasets. Three-D segmentation of sub-compartments, volumetric analysis, density evaluations and reporting tools are provided.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
#### PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
#### FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
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:
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"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."
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### 5 510(k) Summary
| 510(k) Summary (As required by Section 21 CFR 807.92(c)) | | |
|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------|
| Submitter: | Imbio LLC<br>227 Colfax Ave N, Suite 144<br>Minneapolis MN 55405 USA | |
| Contact Person: | Jason Sheard<br>Director of Operations<br>Telephone: 612-520-7360<br>Email: jasonsheard@imbio.com<br><br>Imbio LLC<br>227 Colfax Ave N, Suite 144<br>Minneapolis MN 55405 USA | |
| Date Prepared: | August 14, 2014 | |
| Trade Name: | Imbio CT Lung Density Analysis Software | |
| Common/Usual Name: | Software Accessory to a Computed Tomography Device | |
| Classification: | 21 CFR 892.1750<br>Product Code 90 JAK, Class II<br>Computed tomography x-ray system | |
| Product Code: | 90 JAK, Class II | |
| Manufacturer: | Imbio LLC<br>227 Colfax Ave N, Suite 144<br>Minneapolis MN 55405 USA | |
| Establishment Registration: | N/A | |
| Predicate Device: | Manufacturer: | VIDA Diagnostics |
| | Trade name: | VIDA Pulmonary Workstation 2 (PW2) |
| | 510(k) Number: | K083227 |
| | Date Cleared: | November 18, 2008 |
| 510(k) Summary (As required by Section 21 CFR 807.92(c)) | | |
| Device Description | The Imbio CT Lung Density Analysis Software (Imbio LDA) is a set of image<br>post-processing algorithms that perform image segmentation, registration,<br>thresholding, and classification on CT images of human lungs.<br><br>The algorithms within the Imbio CT Lung Density Analysis Software are<br>combined into a single command-line executable program that may be run<br>directly from the command-line or through scripting. The Imbio CT Lung<br>Density Analysis Software program performs segmentation, then<br>registration, then thresholding and classification. The program reads in<br>DICOM datasets, processes the data, then writes output DICOM files to a<br>specified directory.<br><br>The Imbio CT Lung Density Analysis Software is a command-line software<br>application that analyzes DICOM CT lung image datasets and generates<br>reports and DICOM output that show the lungs segmented and overlaid<br>with color-codings representing the results of its thresholding and<br>classification rules. It has simple file management functions for input and<br>output, and separate modules that implement the CT image-processing<br>algorithms. Imbio CT Lung Density Analysis Software does not interface<br>directly with any CT or data collection equipment; instead the software<br>imports data files previously generated by such equipment. | |
| Intended Use | The Imbio CT Lung Density Analysis Software provides reproducible CT<br>values for pulmonary tissue, which is essential for providing quantitative<br>support for diagnosis and follow up examinations. The Imbio CT Lung<br>Density Analysis Software can be used to support the physician in the<br>diagnosis and documentation of pulmonary tissue images (e.g.,<br>abnormalities) from CT thoracic datasets. Three-D segmentation and<br>isolation of sub-compartments, volumetric analysis, density evaluations,<br>and reporting tools are provided. | |
| 510(k) Summary (As required by Section 21 CFR 807.92(c)) | | |
| Summary of Technical Comparisons | <b>Similarities:</b><br>Both the predicate device and the Imbio CT Lung Density Analysis Software are software applications that import CT DICOM data files, analyze them, and produce reports with quantitative and graphical results. The functionality of Imbio CT Lung Density Analysis Software is substantially equivalent to the predicate device. Direct quantitative comparisons using the same CT lung scans yielded similar results.<br><br><b>Differences:</b><br>The Imbio Lung Density Analysis Software provides a command-line interface, while the predicate device provides a graphic user interface. The Imbio Lung Density Analysis Software provides automated registration of the Inspiration / Expiration image pairs, while this registration is manual (i.e., visually performed by the radiologist) with the predicate device. The predicate device provides an interactive visualization of the reconstructed three-dimensional volume, low-density cluster analysis, and an airway report. These features are not part of the Imbio CT Lung Density Analysis Software. These differences do not affect the efficacy and safety of the Imbio CT Lung Density Analysis Software. | |
| Non-Clinical Testing | The following testing was conducted on Imbio CT Lung Density Analysis Software by analyzing CT datasets available upon request from the COPDGene study (www.copdgene.org) and the DIR-Lab (www.dir- lab.com): Direct predicate comparison for scan processing completion, segmentation, and thresholding. This was done to verify that the software functions according to its specifications and to support substantial equivalence. Software verification and validation testing for each requirement specification. Software verification and validation testing for each algorithmic function. Software verification and validation testing at the unit, integration, and system level The following quality assurance measures were applied during software development: Software Development Life Cycle Software Risk Assessment. Risk Assessment of Off-the-Shelf (OTS) Software. Software Configuration Management and Version Control. Software issue tracking and resolution | |
| 510(k) Summary (As required by Section 21 CFR 807.92(c)) | | |
| Design Validation | Design validation was performed using the Imbio CT Lung Density Analysis<br>Software in actual and simulated use settings. The results support<br>substantial equivalence to the predicate device and demonstrate that the<br>Imbio CT Lung Density Analysis Software is safe for its intended use. | |
| Clinical Testing | This technology is not new, therefore a clinical study was not considered<br>necessary prior to release. Additionally, there was no clinical testing<br>required to support the medical device as the indications for use is<br>equivalent to the predicate device. The substantial equivalence of the<br>device is supported by the non-clinical testing. | |
| Conclusion: | We conclude that the results of testing show the Imbio CT Lung Density<br>Analysis Software to be substantially equivalent to the predicate device.<br><br>The Imbio CT Lung Density Analysis Software has the same technological<br>characteristics as the predicate device in that it has a similar intended use,<br>same general operating principle, and same technology. The specific<br>details of the predicate device may vary from those of Imbio CT Lung<br>Density Analysis Software, but testing shows that similar results are<br>produced.<br><br>It has been shown in this 510(k) submission that the differences between<br>the Imbio CT Lung Density Analysis Software and the VIDA PW2<br>(K0832277) do not raise any questions regarding safety and effectiveness.<br>The Imbio CT Lung Density Analysis Software, as designed and<br>manufactured, is substantially equivalent to, and as safe and effective as,<br>the referenced predicate device. | |
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# In
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# imbi
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### In
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.