Spine Auto Views
Overview
Spine Auto Views is a deep learning-based post-processing application designed to automate and streamline CT spine imaging workflows. It is a non-invasive image analysis software package that works in conjunction with CT images to automatically generate anatomically focused multi-planar reformats and apply labels to the spine.
The tool utilizes state-of-the-art deep learning algorithms for automatic labeling of vertebral bodies and disc spaces with high accuracy, and for generating axial oblique images optimized for orientation through vertebral disc spaces. It also automatically creates curved reformats to display the full spine in aligned coronal/sagittal planes.
Spine Auto Views aims to improve reading experience by providing consistent, anatomically relevant reformats and labels without the need for manual interaction. It can be used for various care areas, including trauma, oncology, and routine body scans, and automatically exports the processed series to pre-determined DICOM destinations.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Deep learning algorithm for automatic labeling of vertebral bodies and disc spaces (>90% accuracy)
- Deep learning algorithm for axial oblique images optimized for orientation through vertebral disc spaces (>90% accuracy)
- Automatic generation of curved reformats for full spine display in aligned coronal/sagittal planes
- Automatic generation of multi-planar reformats (MPR)
- Automated export of processed series to pre-determined DICOM destinations
- No manual interaction required for CT spine post-processing
- Provides anatomically focused reformats and labels
- Supports various exam types: trauma, oncology, and routine body scans
- Automated spine identification and labeling in less than 5 seconds for volumes of 300mm or less
Use Cases
- Streamlining CT spine post-processing workflows
- Improving the reading experience for radiologists with consistent, anatomically aligned images
- Assisting in the review of trauma cases involving the spine
- Supporting diagnostic procedures for oncology cases affecting the spine
- Enhancing efficiency in routine body CT scans requiring spine analysis
- Generating detailed and focused anatomical views of the spine for clinical assessment
What Physicians Need to Know
Leverage Spine Auto Views to significantly reduce manual post-processing time for CT spine exams, allowing for faster patient throughput and more immediate image interpretation. The automated anatomical labeling and consistent reformat generation can enhance diagnostic confidence and standardize reporting, particularly beneficial in high-volume settings or for complex cases like trauma. Integrate the automated output directly into your PACS hanging protocols for an optimized reading experience.
Spine Auto Views is designed for seamless integration with existing CT imaging systems and PACS via DICOM standards. Its ability to automatically export labeled and reformatted series to pre-determined DICOM destinations ensures compatibility with various PACS environments and supports customized hanging protocols for efficient review.
Details
| Category | Radiology & Imaging AI |
| Pricing | Contact for quote |
| Deployment | Software analysis package, integrated with CT systems and PACS |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
1 AI-estimated Spine Auto Views received 510(k) clearance from the FDA on July 13, 2023, under submission number K223424. It is classified as a Class II medical device with product codes JAK and QIH. |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurosurgery, Orthopedics, Radiology |
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