Computational methods and clinical applications in musculoskeletal imaging : 5th international workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017 : revised selected papers

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. 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 Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps (Ilker Hacihaliloglu)....Pages 1-11 Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation (S. M. Masudur Rahman Al Arif, Karen Knapp, Greg Slabaugh)....Pages 12-24 Automated Characterization of Body Composition and Frailty with Clinically Acquired CT (Peijun Hu, Yuankai Huo, Dexing Kong, J. Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley et al.)....Pages 25-35 Unfolded Cylindrical Projection for Rib Fracture Diagnosis (Catalina Tobon-Gomez, Tyler Stroud, John Cameron, Dave Elcock, Andrew Murray, Daniel Wyeth et al.)....Pages 36-47 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density (Uroš Petković, Robert Korez, Stefan Parent, Samuel Kadoury, Tomaž Vrtovec)....Pages 48-58 Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features (Dimitrios Damopoulos, Ben Glocker, Guoyan Zheng)....Pages 59-71 Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients (Marta Bianca Maria Ranzini, Michael Ebner, M. Jorge Cardoso, Anastasia Fotiadou, Tom Vercauteren, Johann Henckel et al.)....Pages 72-84 Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume (Yoshito Otake, Kohei Miyamoto, Axel Ollivier, Futoshi Yokota, Norio Fukuda, Lauren J. O’Donnell et al.)....Pages 85-94 Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model (Robert Korez, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec)....Pages 95-107 Attention-Driven Deep Learning for Pathological Spine Segmentation (Anjany Sekuboyina, Jan Kukačka, Jan S. Kirschke, Bjoern H. Menze, Alexander Valentinitsch)....Pages 108-119 Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach (Bryce A. Besler, Andrew S. Michalski, Nils D. Forkert, Steven K. Boyd)....Pages 120-132 Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling (Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes)....Pages 133-147 DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images (Guodong Zeng, Guoyan Zheng)....Pages 148-159 Back Matter ....Pages 161-161