Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets
Abstract
Methods for reliable femur segmentation enable the execution of quality retrospective studies and building of robust screening tools for bone and joint disease. An enhance-and-segment pipeline is proposed for proximal femur segmentation from computed tomography datasets. The filter is based on a scale-space model of cortical bone with properties including edge localization, invariance to density calibration, rotation invariance, and stability to...
Paper Details
Title
Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets
Published Date
Jan 1, 2021
Journal
Volume
67
Pages
101887 - 101887
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