Related Experiment Video
Updated: Jan 2, 2026
Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
Published on: June 24, 2025
Improved speed of bone removal in computed tomographic angiography using automated targeted morphological separation:
Raghav Raman1, Bhargav Raman, Sandy Napel
1Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA. ramanb@stanford.edu
Abstract:
We developed an automated algorithm for bone removal in computed tomographic angiographic images that identifies and deletes connections between bone and vessels. Our automated algorithm is significantly faster than manual methods (2.45 minutes vs 73 minutes) and only generates about 2 small artifactual deletions per patient, mostly in the region of the ankle. Image quality was equivalent to manual methods. It shows promise as a tool for fast and accurate postprocessing of computed tomographic angiograms.
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