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Abdominal Imaging. Computational and Clinical Applications

6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014.

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Hiroyuki Yoshida

    1. 3D Imaging Research ,Dept of Radiology, Harvard Medical School , Massachusetts General Hospital, Boston, USA

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  2. Janne J. Näppi

    1. 3D Imaging Research, Dept of Radiology, Harvard Medical School , MA General Hospital, Boston, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Sanjay Saini

    1. Department of Radiology, Harvard Medical School , MA General Hospital, Boston, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8676)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ABD-MICCAI 2014.

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Table of contents (28 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. Liver and Pancreas - Ablation, Perfusion, and Segmentation

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation

      • Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie et al.
      Pages 3-12

    3. 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
      Pages 13-22

    4. 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
      Pages 23-32

    5. 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
      Pages 33-47

    6. 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
      Pages 48-61

    7. 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
      Pages 62-73

    8. Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models

      • Eugene Vorontsov, Nadine Abi-Jaoudeh, Samuel Kadoury
      Pages 74-83

    9. Automated Navigator Tracker Placement for MRI Liver Scans

      • Takao Goto, Satoshi Ito
      Pages 84-93

    10. 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
      Pages 94-102

    11. A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans

      • Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers
      Pages 103-113

  3. Gastrointestinal Tract - Crohn’s Disease

    1. Front Matter

      Pages 115-115
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    2. 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
      Pages 117-127

    3. 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.
      Pages 128-138

    4. 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.
      Pages 139-147

  4. Gastrointestinal Tract - Colonoscopy, Colonography

    1. Front Matter

      Pages 149-149
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    2. Automatic Assessment of Image Informativeness in Colonoscopy

      • Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang
      Pages 151-158

    3. Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography

      • Janne J. Näppi, Rie Tachibana, Daniele Regge, Hiroyuki Yoshida
      Pages 159-168

    4. Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography

      • Rie Tachibana, Janne J. Näppi, Hiroyuki Yoshida
      Pages 169-178
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Other volumes

  1. Abdominal Imaging. Computational and Clinical Applications

Keywords

About this book

This book constitutes the refereed proceedings of the 6th International Workshop ABDI 2014, held in conjunction with MICCAI 2014, in Cambridge, MA, USA, in September 2014. The book includes 29 papers which were carefully reviewed and selected from 33 submissions. The topics covered are liver and pancreas - ablation, perfusion, and segmentation; gastrointestinal tract - Crohn's disease; gastrointestinal tract - colonoscopy, colonography; and abdominal operation planning - registration, segmentation.

Editors and Affiliations

  • 3D Imaging Research ,Dept of Radiology, Harvard Medical School , Massachusetts General Hospital, Boston, USA

    Hiroyuki Yoshida

  • 3D Imaging Research, Dept of Radiology, Harvard Medical School , MA General Hospital, Boston, USA

    Janne J. Näppi

  • Department of Radiology, Harvard Medical School , MA General Hospital, Boston, USA

    Sanjay Saini

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