Computational Methods and Clinical Applications in Musculoskeletal Imaging: 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Description

This book constitutes the refereed proceedings of the 6th International Workshop on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging. Front Matter ....Pages I-XII Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images (Naoki Kamiya, Masanori Kume, Guoyan Zheng, Xiangrong Zhou, Hiroki Kato, Huayue Chen et al.)....Pages 1-10 Fully Automatic Teeth Segmentation in Adult OPG Images (Nicolás Vila Blanco, Timothy F. Cootes, Claudia Lindner, Inmaculada Tomás Carmona, Maria J. Carreira)....Pages 11-21 Fully Automatic Planning of Total Shoulder Arthroplasty Without Segmentation: A Deep Learning Based Approach (Paul Kulyk, Lazaros Vlachopoulos, Philipp Fürnstahl, Guoyan Zheng)....Pages 22-34 Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images (Guodong Zeng, Guoyan Zheng)....Pages 35-48 Pelvis Segmentation Using Multi-pass U-Net and Iterative Shape Estimation (Chunliang Wang, Bryan Connolly, Pedro Filipe de Oliveira Lopes, Alejandro F. Frangi, Örjan Smedby)....Pages 49-57 Bone Adaptation as Level Set Motion (Bryce A. Besler, Leigh Gabel, Lauren A. Burt, Nils D. Forkert, Steven K. Boyd)....Pages 58-72 Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting (Adrian K. Davison, Claudia Lindner, Daniel C. Perry, Weisang Luo, Medical Student Annotation Collaborative, Timothy F. Cootes)....Pages 73-85 Perthes Disease Classification Using Shape and Appearance Modelling (Adrian K. Davison, Timothy F. Cootes, Daniel C. Perry, Weisang Luo, Medical Student Annotation Collaborative, Claudia Lindner)....Pages 86-98 Deep Learning Based Rib Centerline Extraction and Labeling (Matthias Lenga, Tobias Klinder, Christian Bürger, Jens von Berg, Astrid Franz, Cristian Lorenz)....Pages 99-113 Automatic Detection of Wrist Fractures From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach (Raja Ebsim, Jawad Naqvi, Timothy F. Cootes)....Pages 114-125 Bone Reconstruction and Depth Control During Laser Ablation (Uri Nahum, Azhar Zam, Philippe C. Cattin)....Pages 126-135 Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip (Olivia Paserin, Kishore Mulpuri, Anthony Cooper, Antony J. Hodgson, Rafeef Garbi)....Pages 136-145 Automated Measurement of Pelvic Incidence from X-Ray Images (Robert Korez, Michael Putzier, Tomaž Vrtovec)....Pages 146-152 Back Matter ....Pages 153-153