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Abstract #4741

Complete Segmentation of Human Thigh and Calf Muscles/Tissues with Convolutional Neural Network and Partially Segmented Training Images

Chun Kit Wong1, Tian Siew Yap1,2, Serene Shi Hui Teo1, Maria Kalimeri1, and Mary Charlotte Stephenson1,2

1Clinical Imaging Research Center, National University of Singapore, Singapore, Singapore, 2AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH (A*STAR), Singapore, Singapore

Quantitative analysis of lower extremity images typically require manual or semi-automated segmentation of regions of interest. This can be extremely time consuming. Here, we utilise DeepLearning and a database of previously segmented thigh and calf t1-weighted images to automatically segment the images into different tissue types and various muscle groups. Dice scores greater than 0.85 were achieved on average across the classes with as few as 40 training images (3D). In addition, we demonstrate a method for training the model with partially labelled images, enabling access to potentially much larger training datasets.

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