Aim of the study The accuracy of additive manufactured medical constructs is limited by
errors introduced during image segmentation. The aim of this study was to review the …

Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

In this paper, we address the problems of fully automatic localization and segmentation of
3D vertebral bodies from CT/MR images. We propose a learning-based, unified random …

Image segmentation has become an important tool in orthopedic and biomechanical
research. However, it greatly remains a time-consuming and laborious task. In this …

Background: Femoroacetabular impingement (FAI) is a complex 3-dimensional (3D) hip
abnormality that can cause hip pain and osteoarthritis in young and active patients of …

Background Accurate preoperative planning is essential for successful total hip arthroplasty
(THA). However, the requirements of time, manpower, and complex workflow for accurate …

Efficient, accurate and reliable segmentation of femurs from CT-scans is of major importance
for patient-specific autonomous finite element analysis (AFE) to determine bone's stiffness …

Pelvic fractures have been identified as the second most common AIS2+ injury in motor
vehicle crashes, with the highest early mortality rate compared to other orthopaedic injuries …

Background The present study contrasts the accuracy of different reconstructed models with
distinctive segmentation methods performed by various experts. Seven research groups …

Morphological abnormalities of the femoroacetabular (hip) joint are among the most
common human musculoskeletal disorders and often develop asymptomatically at early …