Medical Image Analysis 18 (2014) 1261
Contents lists available at ScienceDirect
Medical Image Analysis journal homepage: www.elsevier.com/locate/media
Editorial
Editorial for the MEDIA special issue on MICCAI 2013 This special issue of Medical Image Analysis presents full articles of the work presented at the 16th International Conference of Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), which was held in Nagoya, Japan, from September 22nd to 26th. We are extremely pleased to deliver the special issue that contains best presentations of MICCAI 2013. This is basically based on the strong collaboration of the MedIA and the MICCAI Society. In this year, full extended papers from award winning papers and high-scoring papers at the conference were invited to submit. The regular review process was performed to keep paper quality high. From the 15 originally invited papers, 11 papers were submitted and 10 papers successfully passed very tough reviewing process to be included in the special issue. We have grouped the selected papers into three themes of Medical Image Computing, Computer Assisted Intervention, and Anatomy & Physiology Modeling. The Medical Image Computing section contains four papers. First two papers are related to multi-atlas segmentation, and latter two registration. Zikic et al. present atlas encoding for multi-atlas labeling to overcome the problem of high computational cost due to nonrigid registration between all atlases and target images. Li et al. incorporate spatial smoothness and temporal consistency into multi-atlas labeling for longitudinal dynamic cortical surfaces in the infant brain MR images. Zhang et al. present a large deformation diffeomorphic registration framework for diffusion-weight images considering local fiber orientations. Papiez et al. address nonrigid registration dealing with discontinuities due to sliding motion which typically occurs between the lungs and the pleura. The Computer Assisted Intervention section contains three papers, which are related to intraoperative image analysis and robotic imaging. Fuerst et al. present intraoperative ultrasound-
http://dx.doi.org/10.1016/j.media.2014.08.001 1361-8415/Ó 2014 Published by Elsevier B.V.
MR registration using Linear Correlation of Linear Combination (LC2) measure, which was originally designed for ultrasound-CT registration. Heimann et al. present a discriminative learning based approach to localize the trans-esophageal echography transducer in X-ray images for minimally invasive treatment. Matthies et al. introduce a novel robotic setup performing scans with a mini gamma camera for intraoperative imaging, and show the first SPECT reconstructions. The Anatomical & Physiological Modeling section contains three papers. First two papers are related to brain connectivity, and last one cardiac electrophysiology (EP). Ghanbari et al. present a unified framework for learning subnetwork patterns of brain connectivity, which is applied to a study of diffusion-based connectivity in subjects with autism. Savadjiev et al. propose a framework for investigating the relationships between gray and white matter morphology, which is applied to a population study on autism spectrum disorder in children. Zetting et al. propose a data-driven approach to calibrate a patient-specific EP model from non-invasive commonly-available 12-lead electrocardiograms (ECG) using a data-driven regression model learned from simulated ECG signals. We trust that this special issue will provide a comprehensive snapshot of the best works at MICCAI 2013 and help attract high quality submissions to the MICCAI conference series. Guest Editors Kensaku Mori Yoshinobu Sato Christian Barillot Nassir Navab
Contents lists available at ScienceDirect
Medical Image Analysis journal homepage: www.elsevier.com/locate/media
Editorial
Editorial for the MEDIA special issue on MICCAI 2013 This special issue of Medical Image Analysis presents full articles of the work presented at the 16th International Conference of Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), which was held in Nagoya, Japan, from September 22nd to 26th. We are extremely pleased to deliver the special issue that contains best presentations of MICCAI 2013. This is basically based on the strong collaboration of the MedIA and the MICCAI Society. In this year, full extended papers from award winning papers and high-scoring papers at the conference were invited to submit. The regular review process was performed to keep paper quality high. From the 15 originally invited papers, 11 papers were submitted and 10 papers successfully passed very tough reviewing process to be included in the special issue. We have grouped the selected papers into three themes of Medical Image Computing, Computer Assisted Intervention, and Anatomy & Physiology Modeling. The Medical Image Computing section contains four papers. First two papers are related to multi-atlas segmentation, and latter two registration. Zikic et al. present atlas encoding for multi-atlas labeling to overcome the problem of high computational cost due to nonrigid registration between all atlases and target images. Li et al. incorporate spatial smoothness and temporal consistency into multi-atlas labeling for longitudinal dynamic cortical surfaces in the infant brain MR images. Zhang et al. present a large deformation diffeomorphic registration framework for diffusion-weight images considering local fiber orientations. Papiez et al. address nonrigid registration dealing with discontinuities due to sliding motion which typically occurs between the lungs and the pleura. The Computer Assisted Intervention section contains three papers, which are related to intraoperative image analysis and robotic imaging. Fuerst et al. present intraoperative ultrasound-
http://dx.doi.org/10.1016/j.media.2014.08.001 1361-8415/Ó 2014 Published by Elsevier B.V.
MR registration using Linear Correlation of Linear Combination (LC2) measure, which was originally designed for ultrasound-CT registration. Heimann et al. present a discriminative learning based approach to localize the trans-esophageal echography transducer in X-ray images for minimally invasive treatment. Matthies et al. introduce a novel robotic setup performing scans with a mini gamma camera for intraoperative imaging, and show the first SPECT reconstructions. The Anatomical & Physiological Modeling section contains three papers. First two papers are related to brain connectivity, and last one cardiac electrophysiology (EP). Ghanbari et al. present a unified framework for learning subnetwork patterns of brain connectivity, which is applied to a study of diffusion-based connectivity in subjects with autism. Savadjiev et al. propose a framework for investigating the relationships between gray and white matter morphology, which is applied to a population study on autism spectrum disorder in children. Zetting et al. propose a data-driven approach to calibrate a patient-specific EP model from non-invasive commonly-available 12-lead electrocardiograms (ECG) using a data-driven regression model learned from simulated ECG signals. We trust that this special issue will provide a comprehensive snapshot of the best works at MICCAI 2013 and help attract high quality submissions to the MICCAI conference series. Guest Editors Kensaku Mori Yoshinobu Sato Christian Barillot Nassir Navab
