Getting Started

Updated on Feb 20, 2025
1. Download the app
To start capturing patient scans, download the BackSCNR iOS app from the App store. It is compatible with iPad (recommended) and iPhone.
Download on the App Store
If you already have 3D model files (.stl, .obj, .ply, .glb, etc.), you can skip this step and upload them directly to the website.
Structure Sensor
At this time, the app requires a Structure Sensor to capture 3D scans, it's compatible with Structure Sensor 3 (recommended) and some older models. To purchase a sensor, visit structure.io. For troubleshooting, refer to their support team and documentation. You can also check the known issues tracker
2. Taking the scan
Connect the sensor to your iPad or iPhone, open the BackSCNR app, and follow the on-screen instructions to capture the scan.
Tips
  1. Maintain enough distance to capture the patient's full torso height.
  2. The patient should have their upper body bare or wear a bathing suit and stand still with arms slightly apart.
  3. Scan the entire torso in a full 360° rotation, starting from the back and moving to the front.
  4. The red areas on the cube show the detected body parts for scanning.
Taking a scan
3. Editing the scan
New patient
Start by creating a new patient and fill in the appropriate fields.
New scan
Create a new scan by selecting the patient, entering the scan date and time, and choosing the analysis mode.

Modes
  1. Severity - predicts cobb angle and classifies as mild, moderate, or severe (for diagnosed scoliosis patients)
  2. Screening - detects scoliosis or normal (for initial assessments)
  3. Symmetry - visualizes symmetry on any 3D model (for general use)
New scan
Cropping
Before analysis, ensure the back of the torso is upright and facing forward. Then crop:
  1. Remove all arm portions at the armpits completely.
  2. Crop the neck and chin area to be level with the shoulders.
  3. Cut off everything below where the pants begin, but keep as much of the hip area as possible.
Cropping a scanCropping tipsCommon arm cropping mistakes: (A) Arm parts remain visible: add more cropping points or try different angles. (B) Too much shoulder removed: make a straight vertical cut from armpit to shoulder. (C) Correct example: vertical armpit-to-shoulder cut with arm fully removed.Cropping tipsCommon neck cropping mistakes: (A) Neck parts remain visible: check all angles to fully remove neck and chin. (B) Shoulder parts removed: crop neck completely without cutting into shoulders. (C) Correct example: proper neck crop maintaining shoulder integrity.Cropping tipsCommon hip cropping mistakes: (A) Pants texture remains: crop all fabric or lower pants before scanning as it corrupts results. (B) Too much lower torso removed: avoid high cropping that loses lumbar region data. (C) Correct example: proper hip crop with no pants texture.
4. The analysis
Scan toolbarAfter analysis, key results appear in the toolbar:
  • Tabs - switch between different results.
  • Classification - displays severity (mild/moderate/severe) or screening (normal/scoliosis).
  • Cobb angle: AI-predicted Cobb angle.
  • Download files: export the 3D model, image, and CSV files.
  • Patient: name, age, sex, etc.
  • Scan datetime: when the scan was taken.
Interactive 3D view
The 3D view lets you rotate, zoom, and pan the model. The color bar on the right shows deviation in millimeters, where red indicates gibbosity, and blue indicates depression, with color intensity representing the magnitude of deviation.
2D images are available in the "Views" tab.Interactive 3D view
Patch Data
Detailed numerical data for each patch is available in the "Data" tab. Each patch includes its torso location, area (mm²), root mean square deviation (mm), maximum deviation (mm), lateral deviation from the center, volume (mm³), and centroid coordinates (x, y, z).Patch data
PDF Report
A downloadable PDF report is available in the "PDF" tab.
5. Other tools
This guide provides only a brief overview, many more tools and features are available.

More pages

For questions or feedback, contact us at info@backscnr.com.

Copyright © BackSCNR 2025
Terms | Privacy