System and method for target muscle glycogen score determination and evaluation

摘要

Provided is a non-invasive system and method for determining a target glycogen score value for a target muscle and potentially at least one indicator muscle. The method includes receiving an ultrasound scan of a target muscle; evaluating at least a portion of the ultrasound scan to determine glycogen store value within the target muscle; recording the determined glycogen store value for the muscle as an element of a glycogen value data set for the muscle; evaluating the glycogen value data set to determine a value range; and in response to the range being at least above a pre-determined threshold, establishing a target score for the muscle as based on an upper portion of the value range. The method may be repeated to identify ranges for a plurality of muscles, the muscle with the greatest range being identified as an indicator muscle. An associated system is also disclosed.

主权项

1. A non-invasive method of determining at least one indicator muscle for determination of muscle glycogen store value, comprising:
receiving from a subject a plurality of ultrasound scans from a plurality of different muscles over a plurality of ultrasound scanning sessions, the ultrasound scans obtained with a computing device having at least one processor, each ultrasound scan having a plurality of data elements; for each received ultrasound scan of each muscle, utilizing a computing system with a second processor, the second processor:
selecting at least a portion of the ultrasound scan;defining a plurality of subsets of the ultrasound data elements within the selected portion, each subset of ultrasound data elements having at least one attribute indicative of water concentration within the muscle tissue;quantifying each attribute as a value within a range of glycogen concentration values from zero percent concentration to one hundred percent concentration based on a pre-established glycogen concentration scale that correlates the attribute to the glycogen concentration value to determine a glycogen store value for each subset, the collective glycogen store values being a glycogen value data set for the muscle; utilizing the second processor to further:
evaluate each glycogen value data set to determine a glycogen store value range for each muscle;rank the scanned muscles by determined glycogen store value range; and select the highest ranked muscle as an indicator muscle.