This book constitutes the refereed proceedings of the First International Workshop on Machine Learning in Medical Imaging, MLMI 2010, held in conjunction with MICCAI 2010, in Beijing, China, in September 2010. The 23 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers address topics such as machine learning applications to medical images, medical image analysis, multi-modality fusion, image reconstruction for medical imaging, computer-aided detection/diagnosis, medical image retrieval, cellular image analysis, molecular/pathologic image analysis, and dynamic, functional, physiologic, and anatomic imaging.
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images Sushil Mittal Yefeng Zheng Bogdan Georgescu Fernando Vega-Higuera Shaohua Kevin Zhou Peter Meer Dorin Comaniciu 1
Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries Xiao Dong Huanxiang Lu Yasuo Sakurai Hitoshi Yamagata Guoyan Zheng Mauricio Reyes 10
Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation Wei Huang Kap Luk Chan Huiqi Li Joo Hwee Lim Jiang Liu Tien Yin Wong 18
A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference Hayaru Shouno Masato Okada 26
Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos Melanie Ganz Mads Nielsen Sami Brandt 34
Prediction of Dementia by Hippocampal Shape Analysis Hakim C. Achterberg Fedde van der Lijn Tom den Heijer Aad van der Lugt Monigue M.B. Breteler Wiro J. Niessen Marleen de Bruijne 42
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis Vincent Michel Evelyn Eger Christine Keribin Bertrand Thirion 50
Appearance Normalization of Histology Slides Marc Niethammer David Borland J.S. Marron John Woosley Nancy E. Thomas 58
Parallel Mean Shift for Interactive Volume Segmentation Fangfang Zhou Ying Zhao Kwan-Liu 67
Soft Tissue Discrimination Using Magnetic Resonance Elastography with a New Elastic Level Set Model Bing Nan Li Chee Kong Chui Sim Heng Ong Toshikatsu Washio Tomokazu Numano Stephen Chang Sudhakar Venkatesh Etsuko Kobayashi 76
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization Yefeng Zheng Fernando Vega-Higuera Shaohua Kevin Zhou Dorin Comaniciu 84
Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization Lin Zheng Yingcai Wu Kwan-Liu Ma 92
A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis Ching-Wei Wang 100
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI Bernard Ng Arash Vahdat Ghassan Hamarneh Rafeef Abugharbieh 108
Manifold Learning for Biomarker Discovery in MR Imaging Robin Wolz Paul Aljabar Joseph V. Hajnal Daniel Rueckert 116
Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images Fuhai Li Xiaobo Zhou Stephen T. C. Wong 124
Fully Automatic Joint Segmentation for Computer-Aided Diagnosis and Planning André Gooβen Thomas Pralow Rolf-Rainer Grigat 132
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network Chong-Yaw Wee Pew-Thian Yap Jeffery N. Browndyke Guy G. Potter David C. Steffens Kathleen Welsh-Bohmer Lihong Wang Dinggang Shen 140
Feature Extraction for fMRI-Based Human Brain Activity Recognition Wei Bian Jun Li Dacheng Tao 148
Sparse Spatio-temporal Inference of Electromagnetic Brain Sources Carsten Stahlhut Hagai T. Attias David Wipf Lars K. Hansen Srikantan S. Nagarajan 157
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis Yiming Xiao Mohak Shah Simon Francis Douglas L. Arnold Tal Arbel D. Louis Collins 165
Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images Mitsutaka Nemoto Yukihiro Nomura Shohei Hanaoka Yoshitaka Masutani Takeharu Yoshikawa Naoto Hayashi Naoki Yoshioka Kuni Ohtomo 174
Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography Kenji Suzuki Jianwu Xu Jun Zhang Ivan Sheu 182
Author Index 191
Overview
This book constitutes the refereed proceedings of the First International Workshop on Machine Learning in Medical Imaging, MLMI 2010, held in conjunction with MICCAI 2010, in Beijing, China, in September 2010. The 23 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers address topics such as machine learning applications to medical images, medical image analysis, multi-modality fusion, image reconstruction for medical imaging, computer-aided detection/diagnosis, ...