Int J Comput Assist Radiol Surg
March 2020
The article Automated measurement of bone scan index from a whole-body bone scintigram.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
March 2020
Purpose: We propose a deep learning-based image interpretation system for skeleton segmentation and extraction of hot spots of bone metastatic lesion from a whole-body bone scintigram followed by automated measurement of a bone scan index (BSI), which will be clinically useful.
Methods: The proposed system employs butterfly-type networks (BtrflyNets) for skeleton segmentation and extraction of hot spots of bone metastatic lesions, in which a pair of anterior and posterior images are processed simultaneously. BSI is then measured using the segmented bones and extracted hot spots.