Chapter: Automated Navigator Tracker Placement for MRI Liver Scans

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		I-XIII
Front Matter		1-1
Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation	Chloé Audigier; Tommaso Mansi; Hervé Delingette; Saikiran Rapaka; Viorel Mihalef; Daniel Carnegie et al.	3-12
Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features	Spyridon Bakas; Dimitrios Makris; Paul S. Sidhu; Katerina Chatzimichail	13-22
A Semi-automated Toolkit for Analysis of Liver Cancer Treatment Response Using Perfusion CT	Elina Naydenova; Amalia Cifor; Esme Hill; Jamie Franklin; Ricky A. Sharma; Julia A. Schnabel	23-32
Parameter Comparison Between Fast-Water-Exchange-Limit-Constrained Standard and Water-Exchange-Modified Dual-Input Tracer Kinetic Models for DCE-MRI in Advanced Hepatocellular Carcinoma	Sang Ho Lee; Koichi Hayano; Dushyant V. Sahani; Andrew X. Zhu; Hiroyuki Yoshida	33-47
Kinetic Textural Biomarker for Predicting Survival of Patients with Advanced Hepatocellular Carcinoma After Antiangiogenic Therapy by Use of Baseline First-Pass Perfusion CT	Sang Ho Lee; Koichi Hayano; Dushyant V. Sahani; Andrew X. Zhu; Hiroyuki Yoshida	48-61
Feasibility of Single-Input Tracer Kinetic Modeling with Continuous-Time Formalism in Liver 4-Phase Dynamic Contrast-Enhanced CT	Sang Ho Lee; Yasuji Ryu; Koichi Hayano; Hiroyuki Yoshida	62-73
Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models	Eugene Vorontsov; Nadine Abi-Jaoudeh; Samuel Kadoury	74-83
Automated Navigator Tracker Placement for MRI Liver Scans	Takao Goto; Satoshi Ito	84-93
Pancreatic Blood Flow Measurements in the Pig Pancreatitis Model Using Perfusion CT with Deconvolution Method	Yoshihisa Tsuji; Kazutaka Yamada; Miori Kisimoto; Shujiro Yazumi; Hiroyoshi Isoda; Tsutomu Chiba	94-102
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans	Amal Farag; Le Lu; Evrim Turkbey; Jiamin Liu; Ronald M. Summers	103-113
Front Matter		115-115
Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn’s Disease	Sila Kurugol; Moti Freiman; Onur Afacan; Jeannette M. Perez-Rossello; Michael J. Callahan; Simon K. Warfield	117-127
Semi-automatic Crohn’s Disease Severity Estimation on MR Imaging	Peter J. Schüffler; Dwarikanath Mahapatra; Robiel Naziroglu; Zhang Li; Carl A. J. Puylaert; Rado Andriantsimiavona et al.	128-138
Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn’s Disease Segmentation	Dwarikanath Mahapatra; Peter J. Schüffler; Jeroen A. W. Tielbeek; Carl A. J. Puylaert; Jesica C. Makanyanga; Alex Menys et al.	139-147
Front Matter		149-149
Automatic Assessment of Image Informativeness in Colonoscopy	Nima Tajbakhsh; Changching Chi; Haripriya Sharma; Qing Wu; Suryakanth R. Gurudu; Jianming Liang	151-158
Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography	Janne J. Näppi; Rie Tachibana; Daniele Regge; Hiroyuki Yoshida	159-168
Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography	Rie Tachibana; Janne J. Näppi; Hiroyuki Yoshida	169-178
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