Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

1. Front Matter

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2. Physiological Modeling and Computer-Assisted Intervention

   1. Fast Data-Driven Calibration of a Cardiac Electrophysiology Model from Images and ECG

      • Oliver Zettinig, Tommaso Mansi, Bogdan Georgescu, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Ali Amr et al.

      Pages 1-8

   2. Toward Online Modeling for Lesion Visualization and Monitoring in Cardiac Ablation Therapy

      • Cristian A. Linte, Jon J. Camp, David R. Holmes III, Maryam E. Rettmann, Richard A. Robb

      Pages 9-17

   3. Prediction of Cranio-Maxillofacial Surgical Planning Using an Inverse Soft Tissue Modelling Approach

      • Kamal Shahim, Philipp Jürgens, Philippe C. Cattin, Lutz-P. Nolte, Mauricio Reyes

      Pages 18-25

   4. String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgery

      • Narges Ahmidi, Yixin Gao, Benjamín Béjar, S. Swaroop Vedula, Sanjeev Khudanpur, René Vidal et al.

      Pages 26-33

   5. Global Registration of Ultrasound to MRI Using the LC2 Metric for Enabling Neurosurgical Guidance

      • Wolfgang Wein, Alexander Ladikos, Bernhard Fuerst, Amit Shah, Kanishka Sharma, Nassir Navab

      Pages 34-41

   6. Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery

      • Ping-Lin Chang, Danail Stoyanov, Andrew J. Davison, Philip “Eddie” Edwards

      Pages 42-49

3. Brain Imaging

   1. Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology

      • Peter Savadjiev, Yogesh Rathi, Sylvain Bouix, Alex R. Smith, Robert T. Schultz, Ragini Verma et al.

      Pages 50-57

   2. Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants

      • Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen

      Pages 58-65

   3. Identifying Group-Wise Consistent White Matter Landmarks via Novel Fiber Shape Descriptor

      • Hanbo Chen, Tuo Zhang, Tianming Liu

      Pages 66-73

   4. The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data

      • Uran Ferizi, Torben Schneider, Maira Tariq, Claudia A. M. Wheeler-Kingshott, Hui Zhang, Daniel C. Alexander

      Pages 74-81

   5. Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clustering

      • Ryan P. Cabeen, Mark E. Bastin, David H. Laidlaw

      Pages 82-89

   6. Connectivity Subnetwork Learning for Pathology and Developmental Variations

      • Yasser Ghanbari, Alex R. Smith, Robert T. Schultz, Ragini Verma

      Pages 90-97

   7. Detecting Epileptic Regions Based on Global Brain Connectivity Patterns

      • Andrew Sweet, Archana Venkataraman, Steven M. Stufflebeam, Hesheng Liu, Naoro Tanaka, Joseph Madsen et al.

      Pages 98-105

4. Imaging, Reconstruction, and Enhancement I

   1. Joint Intensity Inhomogeneity Correction for Whole-Body MR Data

      • Oleh Dzyubachyk, Rob J. van der Geest, Marius Staring, Peter Börnert, Monique Reijnierse, Johan L. Bloem et al.

      Pages 106-113

   2. Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion

      • Ruogu Fang, Tsuhan Chen, Pina C. Sanelli

      Pages 114-121

   3. Learning the Manifold of Quality Ultrasound Acquisition

      • Noha El-Zehiry, Michelle Yan, Sara Good, Tong Fang, S. Kevin Zhou, Leo Grady

      Pages 122-130

   4. Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions

      • Ender Konukoglu, Andre van der Kouwe, Mert Rory Sabuncu, Bruce Fischl

      Pages 131-138

   5. ToF Meets RGB: Novel Multi-Sensor Super-Resolution for Hybrid 3-D Endoscopy

      • Thomas Köhler, Sven Haase, Sebastian Bauer, Jakob Wasza, Thomas Kilgus, Lena Maier-Hein et al.

      Pages 139-146

   6. Attenuation Correction Synthesis for Hybrid PET-MR Scanners

      • Ninon Burgos, Manuel Jorge Cardoso, Marc Modat, Stefano Pedemonte, John Dickson, Anna Barnes et al.

      Pages 147-154

The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 95 papers included in the first volume have been organized in the following topical sections: physiological modeling and computer-assisted intervention; imaging, reconstruction, and enhancement; registration; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; intraoperative guidance and robotics; microscope, optical imaging, and histology; cardiology, vasculatures and tubular structures; brain imaging and basic techniques; diffusion MRI; and brain segmentation and atlases.

• alzheimers disease
• computational anatomy
• discrete optimization
• robotic surgery
• structural brain networks

• Information and Communications Headquarters, Nagoya University, Nagoya, Japan

  Kensaku Mori

• Graduate School of Engineering, University of Tokyo, Tokyo, Japan

  Ichiro Sakuma

• Graduate School of Medicine, Osaka University, Osaka, Japan

  Yoshinobu Sato

• IRISA, Rennes, France

  Christian Barillot

• Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany

  Nassir Navab

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