Invention Grant
- Patent Title: System for processing images to detect properties of skeletal muscle
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Application No.: US17057767Application Date: 2019-05-09
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Publication No.: US11887308B2Publication Date: 2024-01-30
- Inventor: Andrew Blamire , Ian Schofield , Roger Whittaker
- Applicant: UNIVERSITY OF NEWCASTLE UPON TYNE
- Applicant Address: GB Newcastle
- Assignee: UNIVERSITY OF NEWCASTLE UPON TYNE
- Current Assignee: UNIVERSITY OF NEWCASTLE UPON TYNE
- Current Assignee Address: GB Newcastle
- Agency: Sheridan Ross, PC
- Agent Jason H. Vick
- Priority: GB 08950 2018.05.31
- International Application: PCT/GB2019/051271 2019.05.09
- International Announcement: WO2019/229413A 2019.12.05
- Date entered country: 2020-11-23
- Main IPC: A61B5/055
- IPC: A61B5/055 ; G06T7/00 ; A61B5/00 ; G01R33/563

Abstract:
Machine readable instructions, a data processing apparatus and a method are provided to determine one or more properties of motor units of skeletal muscle by analyzing a time series of Magnetic Resonance, MR, images representing a slice of a body part to identify signal voids in one or more images of the series. A comparison of at least one characteristic of the identified signal voids in the images is performed with a control data set of MR images produced by applying a controlled stimulus to a motor nerve to establish inherent characteristics of signal voids corresponding to motor units of skeletal muscle. Properties of candidate motor units are analyzed to confirm or reject them as motor units and at least one of: a firing frequency of at least one of the confirmed motor units, a size of at least one of the confirmed motor units, a number of confirmed motor units in a given image area or a shape of at least one of the confirmed motor units is determined.
Public/Granted literature
- US20210104045A1 SYSTEM FOR PROCESSING IMAGES TO DETECT PROPERTIES OF SKELETAL MUSCLE Public/Granted day:2021-04-08
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