Medical Imaging and Augmented Reality

1. Front Matter

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2. Image Segmentation

   1. Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method

      • Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen

      Pages 1-10

   2. A Unified Minimal Path Tracking and Topology Characterization Approach for Vascular Analysis

      • Hasan Ertan Çetingül, Mehmet Akif Gülsün, Hüseyin Tek

      Pages 11-20

   3. Subject Specific Shape Modeling with Incremental Mixture Models

      • Lichao Wang, Karim Lekadir, Ismail EI-Hamamsy, Magdi Yacoub, Guang-Zhong Yang

      Pages 21-30

   4. Segmentation of the Infarct and Peri-infarct Zones in Cardiac MR Images

      • Aditya Gupta, Mubarak Shah

      Pages 31-41

   5. Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images

      • Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen

      Pages 42-50

   6. Multi-parametric Classification of Traumatic Brain Injury Patients Using Automatic Analysis of Quantitative MRI Scans

      • Benjamin S. Aribisala, Christopher J. A. Cowie, Jiabao He, Joshua Wood, A. David Mendelow, Patrick Mitchell et al.

      Pages 51-59

3. Image Registration

   1. Deformable Vessel-Based Registration Using Landmark-Guided Coherent Point Drift

      • Yipeng Hu, Erik-Jan Rijkhorst, Richard Manber, David Hawkes, Dean Barratt

      Pages 60-69

   2. Registration of CT Segmented Surfaces and 3-D Cardiac Electroanatomical Maps

      • Jingjing Gong, Yiyong Sun, Zhaohua Chang

      Pages 70-77

   3. Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration

      • Dong Ping Zhang, Laurent Risser, François-Xavier Vialard, Philip Edwards, Coert Metz, Lisan Neefjes et al.

      Pages 78-87

   4. A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data

      • Mohammad Dawood, Christoph Brune, Xiaoyi Jiang, Florian Büther, Martin Burger, Otmar Schober et al.

      Pages 88-97

   5. Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration

      • Wenzhe Shi, Maria Murgasova, Philip Edwards, Daniel Rueckert

      Pages 98-107

4. Shape Modeling and Morphometry

   1. Cortical Sulcal Bank Segmentation via Geometric Similarity Based Graph Partition

      • Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu

      Pages 108-117

   2. A Framework for 3D Analysis of Facial Morphology in Fetal Alcohol Syndrome

      • Jing Wan, Li Shen, Shiaofen Fang, Jason McLaughlin, Ilona Autti-Rämö, Åse Fagerlund et al.

      Pages 118-127

   3. Feature Driven Rule Based Framework for Automatic Modeling of Organic Shapes in the Design of Personalized Medical Prosthetics

      • Sajjad Baloch, Konrad Sickel, Vojtech Bubnik, Rupen Melkisetoglu, Sergei Azernikov, Andreas Reh et al.

      Pages 128-138

   4. Manifold Learning for Image-Based Gating of Intravascular Ultrasound(IVUS) Pullback Sequences

      • Gozde Gul Isguder, Gozde Unal, Martin Groher, Nassir Navab, Ali Kemal Kalkan, Muzaffer Degertekin et al.

      Pages 139-148

   5. Automatic Computation of Electrodes Trajectory for Deep Brain Stimulation

      • Caroline Essert, Claire Haegelen, Pierre Jannin

      Pages 149-158

5. Shape Modeling and Morphometry

   1. FEM Based 3D Tumor Growth Prediction for Kidney Tumor

      • Xinjian Chen, Ronald Summers, Jianhua Yao

      Pages 159-168

   2. Adaptive GPU Ray Casting Based on Spectral Analysis

      • Stefan Suwelack, Eric Heitz, Roland Unterhinninghofen, Rüdiger Dillmann

      Pages 169-178

   3. Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images

      • Fangxiang Jiao, Jeff M. Phillips, Jeroen Stinstra, Jens Krger, Raj Varma, Edward Hsu et al.

      Pages 179-190

The 5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010, was held at the China National Convention Center (CNCC), B- jing, China on September 19–20, 2010. MIAR has remained a truly international meeting, bringing together - searchers from all ?elds related to medical image analysis, visualization and targeted intervention.In recent years,technical advances in therapeutic delivery andagrowingdemandforpatient-speci?ctreatmenthaveacceleratedtheclinical applications of MIAR-related techniques. Imaging plays an increasingly imp- tant role in targeted therapy, with interventions such as drug or gene therapy relying on more accurate delivery tailored to individual patients. Rapid progress in surgical methodologies, such as those with robot assistance, demands p- cise guidance from both preoperative and intraoperative imaging. The volume of data available from existing and emerging imaging modalities leads to a - sire for more automated analysis for diagnosis, segmentation and registration. Research in this rapidly developing area is highly multi-disciplinary, integrating research in life sciences, physical sciences, engineering, and medicine.

• CT
• EEG
• GPU computing
• MRI
• augmented reality
• bronchoscopy
• classification
• deep brain stimulation
• image analysis
• image registration
• image segmentation
• medical imaging
• mixed reality
• modeling
• mor
• algorithm analysis and problem complexity

• Department of Bioengineering, The University of Tokyo, Tokyo, Japan

  Hongen Liao

• Department of Surgery and Cancer, Imperial College London, London, UK

  P. J. "Eddie" Edwards

• Department of Radiology, The University of Chicago, Chicago, USA

  Xiaochuan Pan

• Institute of Automation, Chinese Academy of Sciences, Beijing, China

  Yong Fan

• Institute of Biomedical Engineering, Imperial College London, London, UK

  Guang-Zhong Yang

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