Constellation (CON-001)
Overview
Constellation (CON-001) is an automated image post-processing software application developed by Q Bio, used within a clinical MRI setting. It leverages AI-assisted methods to combine MR images from overlapping anatomical stations, enabling the segmentation of various anatomical regions and the provision of associated quantitative measurements for whole-body patient anatomy.
Key anatomical regions analyzed include lower limb muscles, visceral adipose tissue, subcutaneous adipose tissue, kidneys, liver, spleen, lungs, and brain structures. The software generates a comprehensive PDF report containing quantified measurements alongside a whole-body visualization and segmented label images.
Constellation is intended for non-invasive labeling and calculation of quantitative measurements for anatomical regions, utilizing DICOM MR images. It serves as a clinical decision support tool for clinicians, particularly for healthy adult patients, but is not intended for use in triage events, emergency medicine, or critical care, nor as a sole source of medical diagnosis.
This FDA-cleared software is a core component of Q Bio’s Q Exam and Gemini Digital Twin platform, designed to help physicians monitor changes over time and support proactive health discussions.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated image post-processing for MRI
- Combines MR images from overlapping anatomical stations
- Segments various anatomical regions (e.g., muscles, adipose tissue, organs, brain structures)
- Provides associated quantitative measurements for whole-body anatomy
- Generates PDF reports with quantified measurements and visualizations
- AI-assisted whole-body MR image analysis
- Functions as a clinical decision support tool
- Utilizes DICOM MR images
- Designed for healthy adult patients
- Supports monitoring health changes over time and proactive health discussions
Use Cases
- Whole-body MRI analysis and interpretation
- Quantitative measurement of anatomical regions for health assessment
- Clinical decision support for physicians in preventive care
- Monitoring longitudinal health changes as part of a digital twin platform
- Preventive health assessments and early risk detection
- Aggregating and visualizing complex health data for clinicians
What Physicians Need to Know
Physicians should leverage Constellation (CON-001) as a supplementary tool for precise quantitative measurements and anatomical labeling from whole-body MR images. It is crucial to remember that while the tool provides valuable data, the ultimate responsibility for diagnosis and treatment decisions rests with the clinician. This tool is not intended for use in triage, emergency medicine, or critical care settings, and its output should always be interpreted within the broader clinical context of the patient.
Constellation (CON-001) is built to integrate directly with MR imaging systems, specifically handling DICOM MR images from GE MR450W devices. This ensures a streamlined flow of imaging data for analysis. While direct integration with broader Electronic Health Record (EHR) systems or other specialized clinical decision support tools is not explicitly detailed for CON-001, its quantitative outputs could potentially be incorporated into such systems to enrich patient records and support comprehensive care planning.
Details
| Category | Clinical Decision Support & Reference, Radiology & Imaging AI |
| Pricing | Part of q bio's comprehensive q exam service — Q Exam costs $3495 per examination; not covered by insurance. |
| Deployment | Cloud-based (as part of Q Bio's service platform) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Constellation (CON-001) has FDA 510(k) clearance (K241280) as an automated image post-processing software application for non-invasive labeling and quantitative measurement of anatomical regions from whole-body MR images, serving as a clinical decision support tool. |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Internal Medicine, Radiology |
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