Anatomical region : Extremities Nuclei excited : H-1 Diagnostic uses : 2D imaging, 3D imaging
Device Story
Ortho 8000 is a permanent magnet MRI system (0.17 Tesla) for extremity imaging. It uses RF coils (leg, arm, loop) to acquire H-1 proton signals via spin echo, gradient echo, and inversion recovery pulse sequences. Data is sampled in k-space and processed using 2D/3D Fourier transforms. The system is installed in fixed clinical sites and operated by trained personnel. Output consists of T1, T2, and T2* weighted images displayed on a monitor. Healthcare providers use these images to visualize anatomy and pathology (e.g., Du Puytrens contracture, localization for injections) to inform clinical diagnosis and treatment planning.
Clinical Evidence
Clinical evaluation performed at Middlesex Hospital, London (Feb-July 1996). Scans included investigation of Du Puytrens contracture, localization for steroid injections, and normal anatomy of extremities (fingers, hand, wrist, forearm, elbow, upper arm, toes, feet, ankles, lower leg, knee, upper thigh). Bench testing confirmed SNR >20:1 (leg/loop coils) and >40:1 (arm coil), non-uniformity <+/-20%, and geometric distortion <+/-5%.
Technological Characteristics
Permanent magnet (0.17T); 0.4 W/Kg max RF power; 6 T/s max dB/dt. RF coils: leg, arm, 12cm/18cm loop. Reconstruction: 2D/3D Fourier Transform. Connectivity: MOD/Tape storage, optional 3rd party DICOM. Power: 110/240V. Cooling: Air conditioning control +/- 1C. Software: 2x Pentium 100 MHz PCs, Dalanco Spry Model 500 DSP.
Indications for Use
Indicated for diagnostic imaging of human extremities (fingers, hand, wrist, forearm, elbow, upper arm, toes, feet, ankles, lower leg, knee, upper thigh) using H-1 proton imaging.
Regulatory Classification
Identification
A magnetic resonance diagnostic device is intended for general diagnostic use to present images which reflect the spatial distribution and/or magnetic resonance spectra which reflect frequency and distribution of nuclei exhibiting nuclear magnetic resonance. Other physical parameters derived from the images and/or spectra may also be produced. The device includes hydrogen-1 (proton) imaging, sodium-23 imaging, hydrogen-1 spectroscopy, phosphorus-31 spectroscopy, and chemical shift imaging (preserving simultaneous frequency and spatial information).
Special Controls
*Classification.* Class II (special controls). A magnetic resonance imaging disposable kit intended for use with a magnetic resonance diagnostic device only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
Predicate Devices
Esaote Biomedica ArtoScan
Submission Summary (Full Text)
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# INNERVISION MRI
*Specialized MRI Systems for Medicine, Industry and Research* NOV 12 1996
## FDA 510K Summary
Submitter's Name: Dr Martyn Paley
Postal Address: PO Box 8232, London, W5 3WY
Telephone Number:
+44 0802 791352 (Tel)
+44 1535 635066 (Fax)
Contact Person: Dr Martyn Paley
Date Summary Prepared: 18th July 1996

K963186
INNERVISION MRI Ltd., PO Box 8232, London W5 3WY
Directors: Martyn Paley BSc PhD CPhys FInstP, John McGinley BA DPhil MInstP
IMRI/510KSUM/1/1/001 1 of 6
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1. **DEVICE NAME**: Magnetic Resonance Diagnostic Device
Trade/Proprietary Name: Ortho 8000
2. **EQUIVALENT DEVICE**: Esaote Biomedica ArtoScan
3. **DEVICE DESCRIPTION**
A. **Device Characteristics**
Model Name: Ortho 8000
Isotope: Proton Imaging
Model Characteristics
Magnet Permanent
Static Field strength: 0.17 Tesla
Homogeneity: +/-20ppm over 16cm DSV
RF Coil Types
1. Leg coil
Transmit/receive coil for knee/foot/ankle/leg/elbow
15 cm Diameter x 8 cm Length
2. Arm Coil
Transmit/receive coil for hand/wrist/forearm
10 cm Diameter x 6 cm Length
3. 18 cm Loop Coil
Transmit/receive coil for general purpose use
4. 12 cm Loop
Transmit/receive coil for general purpose use
Data Acquisition Modes
Phase and frequency encoding to sample k-space
2D Multiple Slice
2D Multiple Slice, Multiple Echo
3D Multiple Slice
Pulse Sequences
Spin echo
Gradient (Field) echo
Inversion recovery
Dynamic imaging
These sequences can provide
T1 weighted, T2 weighted, T2* weighted images
Reconstruction Techniques
2D Fourier Transform
IMRI/510KSUM/1/1/001
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3D Fourier Transform
Type of Installation
Fixed Site
Slice Selection Methods
Selective excitation in the presence of a field gradient
Phase encoding for 3D
Display Matrix
256 x 256
1 - 4 Simultaneous Images
Acquisition Matrix
64 - 256 in steps of 1 for the phase encoding direction
256 in the frequency encoding direction
Image Acquisition Time
2D - Repeat Time x Number of Excitations x Number of Phase Encoding Steps
3D - Repeat Time x Number of Excitations x Number of Phase Encoding Steps x Number of Slice Encoding Steps
Image Pre and Post Processing
Magnitude Value
Pixel Value
Horizontal/Vertical Line Profiles
Spatial Filtering - Hamming Filter in Frequency and Phase Directions
Number of Slices, Range and Increment
2D - 1-16 in steps of 1
3D - 16 slice only
Slice Orientation
Transverse (Axial)
Sagittal
Coronal
Oblique
3 Orthogonal Plane Scouts
Interslice Spacing, minimum, maximum and increment
0 mm, 10mm, Increment 1 mm
## B Safety Parameters
| Static Field Strength | 0.17 Tesla |
| --- | --- |
| Rate of change of magnetic field, maximum | < 6 Tesla/Second |
| Radiofrequency Power Deposition, maximum | < 0.4 W/Kg |
IMRI/510KSUM/1/1/001
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Acoustic Noise
80 dBA
## C. Imaging Performance
### Specification Volume
75mm length x 75 mm diameter Cylinder
#### a. Signal to Noise Ratio (SNR)
1. Leg Coil
SNR > 20:1 Transverse, Sagittal, Coronal, Oblique
2. Arm Coil
SNR > 40:1 Transverse, Sagittal, Coronal
3. 18 cm Loop Coil
SNR > 20:1 Transverse, Sagittal, Coronal
4. 12 cm Loop Coil
SNR > 30:1 Transverse, Sagittal, Coronal
#### b. Uniformity
1. Leg Coil
Non-Uniformity < +/-20% Transverse, Sagittal, Coronal
2. Arm Coil
Non-Uniformity < +/-20% Transverse, Sagittal, Coronal
3. 18 cm Loop Coil
Non-Uniformity < +/-20% Transverse, Sagittal, Coronal
4. 12 cm Loop Coil
Non-Uniformity < +/-20% Transverse, Sagittal*, Coronal
#### c. Geometric Distortion
Geometric Distortion < +/- 5% Transverse, Sagittal, Coronal
#### d.1 Slice Profile
Arm coil
>80% of material within Full Width Half Maximum. See detailed plots. Transverse, Sagittal, Coronal
#### d.2 Slice Thickness
Arm coil
IMRI/510KSUM/1/1/001
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2-10 mm in 1mm increments - Transverse, Sagittal, Coronal
d.3 Slice Spacing
Arm coil
0 - 10 mm in 1mm increments - Transverse, Sagittal, Coronal
Simultaneous Slices
16 maximum
e Spatial Resolution
Leg Coil
Maximum theoretical pixel resolution = 80/256 mm = 0.31 mm.
1mm test rods resolved in all 4 quadrants Transverse, Sagittal, Coronal.
Note : Performance parameters measured using the phantom and techniques described in Section 8B below.
## 4. INTENDED USE
Anatomical region : Extremities
Nuclei excited : H-1
Diagnostic uses : 2D imaging, 3D imaging
## 5. TECHNOLOGICAL CHARACTERISTICS COMPARED TO PREDICATE DEVICE
See Appendix A
## 6. CLINICAL DATA
Testing of the system was performed at the Middlesex Hospital, London, England during the period February - July 1996. Clinical scans performed included investigation of Du Puytrens contracture of the hand localisation of the calcaneus for steroid injections and scans of the normal anatomy of the toes, feet, ankles, lower leg, knee and upper thigh, fingers, hand, wrist, forearm, elbow and upper arm.
## 7. CONCLUSIONS FROM TESTING
The measurement methods used are based on calibration using a well characterised physical object and provide direct evidence of the performance characteristics of the scanner.
The signal to noise ratio values were consistently above the target specification values for each of the coils with the parameters measured above.
Non-uniformity was < +/- 20% for all coil and sequence combinations tested.
Geometric distortion was < +/- 5% for all coil and sequence combinations tested.
Slice thickness, spacing and gap were all within the quoted specifications using the frequency encoding method. This method relies on accurate calibration of the Field of View using MR imaging. The size of the test object is very accurately known and the measurement method provides a scale with 256 pixels. It is believed that this method gives more reliable results than the slice ramp technique which was also used to confirm the measurements. This is because the method has a much higher signal to noise ratio.
IMRI/510KSUM/1/1/001
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In conclusion, the InnerVision MRI extremity scanner meets the performance specifications claimed.
## 8. OTHER INFORMATION REQUIRED BY FDA
IMRI/510KSUM/1/1/001
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# Appendix A
## Equivalency Information
This information has been obtained from a recent report by ECRI.
IMRI/FDANICHE/1/1/001
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Appendix A
Comparison of Esaote Artoscan and InnerVision Niche
| Model | Esatote/Lunar Artoscan | Innervision/Vision Ortho 8000 |
| --- | --- | --- |
| Clinical application | Extremities | Extremities |
| Magnet type | Permanent | Permanent |
| Field Strength | 0.18T | 0.17T |
| 5 Gauss Fringe Field m | 0.6/0.28 | 0.3/0.3 |
| Shimming | Passive | Passive/Active |
| Gradient Subsystem mT/m Risetime to 10mT/m msec | 10/0.5 | 15/0.5 |
| Computer System | PC DX2, 66 | 2 x PC Pentium 100 MHz |
| Memory Size (MB) | 32 | 16+16 |
| Array Processor | DSP 25 Mflops | DSP Dalanco Spry Model 500 |
| Storage Media | MOD | MOD, Tape |
| No. Images Stored | 5,000 | 5,000 |
| Imaging Modes | | |
| Single | Yes | Yes |
| MultiSlice | Yes | Yes |
| Volume Study | Yes | Optional |
| Other | 3 Plane Scout View | 3 Plane Scout View |
| Reconstruction time | | |
| Single Slice (sec) | 1.5 | 5 |
| Multi Slice (sec) | 1.5 | 5 |
| Volume Study | 1.5 | 20/slice average |
| Cardiac Gating | NA | NA |
| Respiratory Gating | NA | NA |
| Angiography | NA | NA |
| Spectroscopy | NA | NA |
| Pulse Sequences | SE, Multiple SE, GE, IR, STIR, 3D, TSE, TME, HSE | SE, Multiple SE, GE, IR, STIR, 3D |
| Repetition Time (msec) | 50-5000SE, 40-5000 GE, 260-5000 IR, 100-4000 STIR | 50-5000SE, 35-5000 GE, 100-5000 IR |
| Echo Time (msec) | 18-120 SE, 12-34 GE, 18-34 IR, 12-120 TSE | 20-100 SE, 5 GE, 20 IR |
| Inversion Time (msec) | 50-800 | 25-999 |
| Slice Thickness mm | 2-10 0.5 incr 2D, 0.8 - 10 0.1 incr 3D | 2 - 10 1 incr 2D, 1-10 1 incr 3D |
| FOV mm | 100 - 200 | 80 - 200 |
| Displayed FOV | 110 max Increments of 10 | 200 max increments of 1 |
| FOV offsets | NA | NA |
| Scan Orientations | Transverse, coronal, sagittal, oblique, compound oblique | Transverse, coronal, sagittal, oblique |
| Measuring Matrix | 128x128 to 256x256 2D 128x128x8 to 256x256x128 3D | 64x256 to 256x256 2D 64x256x16 to 256x256x16 3D incr 1 in phase |
| Display Matrix | 254x238, 510x478 | 256x256, 512x512 |
| Pixel Intensity | 0-4095 | 0.255 |
| Spatial Resolution | 0.4 mm | 0.5 |
| Coils | Knee 2 Sizes, Extremity | Arm Coil, Leg Coil, 12 cm Loop, 18 cm Loop |
| Bore Diameter W x H cm | 16 x 33.6 | 20 x 75 |
| Bore Features | Self centring mechanism, internal RF shield, Leg-locking device | Self centring mechanism |
| Cooling System | Not required | Air Conditioning Control +/- 1C |
| Cryogens | NA | NA |
| Magnet Weight | 1000 | 500 |
| HxWxD cm | 120x73x52 | 118x51x52 |
| Dicom 3.0 | Optional | From 3rd Party |
| Power Requirements | | |
| Line Voltage | 110 | 110/240 |
| kVA | 1.3 | <3 |
| AC BTU | 4500 | <10,000 |
| Sitting Requirement ft2 | <100 | <100 |
| RF shielding | Integral | Modular screened room |
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Part 1 — Search, results, and everyday workflows 16 min
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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.
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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).
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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.
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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.
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Reading rule for every project: how many summaries do you read in full?
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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.
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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.
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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.
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Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
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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.
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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.