ScanIP is intended for use as a software interface and image segmentation system for the transfer of imaging information from a medical scanner such as a CT scanner or a Magnetic Resonance Imaging scanner to an output file. It is also intended as pre-operative software for simulating/evaluating surgical treatment options. Scan1P is not intended to be used for mammography imaging.
Device Story
ScanIP is a software interface and image segmentation system that processes medical imaging data (CT, MRI) to generate output files for pre-surgical planning. Operated by trained professionals on standard workstations, the software allows users to visualize 2D/3D data, perform measurements (distances, angles), calculate statistics (e.g., bone density), and segment images using filters and tools. Modules include +CAD for implant integration, +FE for computational model export, and +NURBS for CAD software compatibility. Output files support 3D printing of physical models for visualization or educational purposes and computational simulations (e.g., FEA). The clinician uses these outputs alongside original scans to evaluate surgical options and implant fit. The device does not integrate directly with external simulation software; it provides the data necessary for such analysis. The clinician retains ultimate responsibility for clinical decisions.
Clinical Evidence
Bench testing only. No clinical data provided. Software verification and validation testing were conducted in accordance with FDA guidance for software in medical devices. The device was classified as a 'Moderate' level of concern, and documentation demonstrated that appropriate risk mitigation steps were taken to address potential hazards such as misinterpretation of scanned data.
Technological Characteristics
Software-based image processing system written in C++ using Microsoft Visual Studio. Operates on Windows (XP, Vista, 7, 8). Requires minimum 4GB RAM, OpenGL compatible graphics card, and 10GB disk space. Features include DICOM 3.0 compatibility, image segmentation (thresholding), morphological filters, 3D editing tools, and surface mesh generation (STL). Supports export to CAD, FEA, and 3D printing formats. Standalone workstation deployment.
Indications for Use
Indicated for use as a software interface and image segmentation system for processing medical imaging data (CT, MRI) for pre-operative surgical simulation and evaluation. Not indicated for mammography imaging.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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Image /page/0/Picture/1 description: The image shows the seal of the Department of Health & Human Services - USA. The seal is circular, with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. In the center of the seal is a stylized image of three human profiles facing to the right, stacked on top of each other.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
April 17, 2015
Simpleware LTD. % Dr. Gareth James Marketing and PR Officer Bradninch Hall Castle Street EXETER, GB EX43PL DEVON
Re: K142779
Trade/Device Name: ScanIP: ScanIP: Medical Edition: ScanIP: Med Regulation Number: 21 CFR 892.2050 Regulation Name: Picture Archiving and Communications System Regulatory Class: II Product Code: LLZ Dated: March 19, 2015 Received: March 25, 2015
Dear Dr. James:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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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 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,
Robert A Ochs
Robert Ochs. Ph.D. Acting Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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#### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
## Indications for Use
510(k) Number (if known) K142779
Device Name ScanIP ; ScanIP: Medical Edition; ScanIP: Med
Indications for Use (Describe)
ScanIP is intended for use as a software interface and image segmentation system for the transfer of imaging information from a medical scanner such as a CT scanner or a Magnetic Resonance Imaging scanner to an output file. It is also intended as pre-operative software for simulating/evaluating surgical treatment options. Scan1P is not intended to be used for mammography imaging.
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)
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## 2.2 Updated 510(k) Summary
(as required by 21 CFR 807.92c)
## I. SUBMITTER
Simpleware Ltd. Bradninch Hall, Castle Street, Exeter, EX4 3PL UK Phone: +44 (0)1392 428751 Fax: +44 (0)1392 428769 Contact Person: Dr. Gareth James Date Prepared: March 16th 2015
## II. DEVICE
Name of Device: ScanIP; ScanIP: Medical Edition; ScanIP: Med
Common or Usual Name: Image processing system and preoperative software for simulating and evaluating surgical treatment options
Classification Name: Picture Archiving and Communications System (21 CFR 892.2050)
#### Regulatory Class: II
Product Code: LLZ
#### III. PREDICATE DEVICE
| Manufacturer | Device | 510(k) Number |
|------------------|--------|---------------|
| Materialise N.V. | Mimics | K073468 |
No reference devices were used in this submission.
#### IV. Device Description
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ScanIP represents a software interface and image segmentation system for the transfer of imaging information from a medical scanner such as a CT scanner or a Magnetic Resonance Imaging scanner to an output file. ScanIP provides a core image processing interface with several additional modules available to users – these include +CAD, +FE and +NURBS - which provide further options for working with image data. +CAD enables the integration of computer-aided design (CAD) drawings such as implants with patient-specific data; +FE allows segmented image data to be exported as computational models for physics-based simulations in other software; +NURBS is designed to allow users to export segmented data as NURBS IGES files to CAD software.
ScanIP is written in C++ and designed using the integrated development environment (IDE) Microsoft Visual Studio. Minimum hardware requirements for the operating system are Windows 7, Windows 8, Windows Vista, and Windows XP. 32 and 64 bit versions of the software are available. Minimum processor requirements are an Intel Core i3 or equivalent; minimum memory requirements for the software to run are 4096 MB (4GB), while an OpenGL compatible graphics card with 32 MB of RAM is required. The screen resolution of a workstation should be a minimum of 1024 x 768 high colour (16 bit), and 10 GB of disk space is recommended as a minimum.
The software is required to be able to visualise and process medical images using a range of filters and tools, and can export models as output files. ScanIP meets DICOM standards for the transfer of medical images. The software is also intended for use in the early stages of pre-surgical planning for visualising patient-specific data, taking measurements and obtaining statistics (such as bone density, distances and angles between arteries), and for integrating computer drawings of implants with patient data to evaluate fitness for use. This functionality has applications to implant evaluation and export of models for simulation in other software. Output files can be used in these other applications; ScanIP does not integrate with them directly.
Processed medical images can also be exported as output files to 3D printing processes for the creation of physical models that can be used in pre-surgical planning (inspection of implant fit), and as computational models to other software programs for running simulations (e.g. stress/strain limits in bone, fluid flow through vessels and airways).
ScanIP has FDA clearance to generate 3D models and export these models in a format suitable for 3D printing to be used as physical models for visualization or educational purposes only. This clearance does not cover medical devices manufactured from those output files.
The intended environment for use is by a trained professional working on a standard workstation (see recommended hardware specifications above). The clinician receiving images and models from the software retains the ultimate responsibility for making a
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decision based on their surgical applications and patient assessment, using their standard practices and visual comparison of the information with original scans.
ScanIP and its related modules has been commercially available since 2004, but has previously not required FDA clearance as it was marketed for research use only, rather than for potential clinical applications.
## V. INDICATIONS FOR USE
ScanIP is intended for use as a software interface and image segmentation system for the transfer of imaging information from a medical scanner such as a CT scanner or a Magnetic Resonance Imaging scanner to an output file. It is also intended as preoperative software for simulating/evaluating surgical treatment options. ScanIP is not intended to be used for mammography imaging.
The Indications for Use statement for ScanIP is identical to that of the predicate device.
# VI. COMPARISON OF TECHNOLOGICAL CHARACTERISTICS WITH THE PREDICATE DEVICE
ScanIP is considered to be substantially equivalent to Mimics (K073468) from Materialise (Establishment Registration No: 3003998208). The two devices provide software capabilities for importing and processing medical images, and for exporting output files. Both devices are voluntarily compliant with the ACR/NEMA Digital Imaging and Communication in Medicine (DICOM) Standard (Version 3.0).
At a high level, the subject and predicate devices are based on the following equivalent technological elements:
- The visualisation, segmentation, processing and file export of medical images ● through the application of software algorithms, filters and tools
- Compatibility with scanner data (e.g. MRI, CT, micro-CT ... ) ●
- The ability to visualise data in 2D and 3D views ●
- Use of tools to take measurements and record statistics ●
- Use of algorithms to create surface meshes (e.g. STL) ●
- . Use of filters for morphological image processing
- Use of tools for 3D editing (e.g. paint) ●
- Use of tools for segmenting images (e,g. thresholding) ●
- Export files can be used in Finite Element Analysis (FEA) software .
- Export files can be used in CAD software ●
- . Export files can be used in 3D printing processes (please see 3D printing statement for limitations on this use)
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The following technological differences exist between the subject and predicate devices:
- . Predicate device has dedicated surgical planning modules and subject device does not
## VII. PERFORMANCE DATA
The following performance data were provided in support of the substantial equivalence determination.
## Software Verification and Validation Testing
Software verification and validation testing were conducted and documentation was provided as recommended by FDA's Guidance for the Industry and FDA Staff: · Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices.' Testing include system level tests and validation testing.
The software for this device was considered as a "Moderate" level of concern, as, prior to mitigation of hazards, a failure of the device could result in minor injury. A failure or misuse of ScanIP, such as misinterpreting scanned data, could in exceptional circumstances cause a minor injury to a patient. This could take the form of a surgical implant design being incorrectly positioned, for example. Software documentation, including verification and validation activities and related performance data, has been provided to demonstrate that appropriate steps have been taken to ensure mitigation of potential risks.
## VIII. CONCLUSIONS
Verification and validation testing of ScanIP, and inclusion of the subject device's Reference Guide and the predicate's Reference Guide supports substantial equivalence based on performance testing and detailed descriptive criteria. It is therefore believed that ScanIP is substantially equivalent with respect to safety and effectiveness as the predicate device that is currently marketed for the same intended use.
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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.