Detection and correction of volumetric medical image segmentation errors by 3D-ray casting and Laplace deformation

Abstract Purpose Patient-specific models of anatomical structures and pathologies generated from volumetric medical images play an increasingly central role in many aspects of patient care. A key task in generating these models is the segmentation of anatomical structures and pathologies of interest. Although numerous…

Haptic computer-assisted patient-specific preoperative planning for orthopedic fractures surgery

Abstract Purpose The aim of orthopedic trauma surgery is to restore the anatomy and function of displaced bone fragments to support osteosynthesis. For complex cases, including pelvic bone and multi-fragment femoral neck and distal radius fractures, preoperative planning with a…

Reduced-dose patient to baseline CT rigid registration in 3D Radon space

Abstract We present a new method for rigid registration of CT scans in Radon space. The inputs are the two 3D Radon transforms of the CT scans, one densely sampled and the other sparsely sampled. The output is the rigid…

Image Segmentation Errors Correction by Mesh Segmentation and Deformation

Abstract Volumetric image segmentation methods often produce delineations of anatomical structures and pathologies that require user modifications. We present a new method for the correction of segmentation errors. Given an initial geometrical mesh, our method semi automatically identifies the mesh…

Automatic Bone Fracture Reduction by Fracture Contact Surface Identification and Registration

Abstract Bone fracture reduction is an essential step in the treatment of orthopedic fractures. It consists of determining the position and orientation of the fractured bone fragments for their fixation with implants. This paper presents a new method for the…

Anatomical structures segmentation by spherical 3D ray casting and gradient domain editing

Abstract Fuzzy boundaries of anatomical structures in medical images make segmentation a challenging task. We present a new segmentation method that addresses the fuzzy boundaries problem. Our method maps the lengths of 3D rays cast from a seed point to…

Non-parametric iterative model constraint graph min-cut for automatic kidney segmentation

Abstract We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori estimation of a model-driven Markov random field. A non-parametric hybrid shape and intensity model…

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