Systems, methods, and computer-readable media for bone volume assessment

By processing MRI data to generate synthetic CT data and extract bone volume parameters using machine learning, the system addresses the inefficiencies of parallel MRI and CT imaging, enhancing bone volume assessment and treatment optimization.

JP2026520904APending Publication Date: 2026-06-25MRIGUIDANCE BV
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Patent Information

Application Number
JP2025570182
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-05-30
Filing Date
2024-05-29
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

The use of separate MRI and CT technologies for medical imaging results in increased workload and costs due to the need for parallel operation, while synthetic CT lacks the detailed tissue information provided by DECT, limiting its effectiveness in bone volume assessment.

Method used

A system and method that processes MRI patient scan data to generate synthetic CT data and extract bone volume parameters, utilizing machine learning elements to convert MRI data into synthetic CT data, allowing for bone volume assessment using a single imaging process.

Benefits of technology

Enables efficient and reliable bone volume assessment by providing detailed bone composition information, optimizing healthcare treatments such as screw placement in spinal procedures, while reducing the need for multiple imaging systems.

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Abstract

The present invention relates to a system (100) for bone volume assessment based on MRI patient scan data and / or at least one set of composite CT data, the system comprising at least one processor module (110) and at least one storage module (120) for storing patient data, the processor module (110) being configured to process and / or analyze MRI patient scan data, at least one set of composite CT data and / or reduced patient data, preferably in combination with each other, so as to identify at least one bone volume parameter of a first patient, in particular bone mineral density, fat percentage, calcium concentration, total density, intertrabecular space, etc. Furthermore, the present invention relates to a corresponding method 200 and a computer-readable medium.
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