Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

1. Front Matter

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2. Shape and Population Analysis

   1. Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization

      • Juan J. Cerrolaza, Arantxa Villanueva, Mauricio Reyes, Rafael Cabeza, Miguel Angel González Ballester, Marius George Linguraru

      Pages 1-8

   2. Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis

      • Yen-Yun Yu, P. Thomas Fletcher, Suyash P. Awate

      Pages 9-16

   3. Depth-Based Shape-Analysis

      • Yi Hong, Yi Gao, Marc Niethammer, Sylvain Bouix

      Pages 17-24

   4. Genus-One Surface Registration via Teichmüller Extremal Mapping

      • Ka Chun Lam, Xianfeng Gu, Lok Ming Lui

      Pages 25-32

   5. Subject-Specific Prediction Using Nonlinear Population Modeling: Application to Early Brain Maturation from DTI

      • Neda Sadeghi, P. Thomas Fletcher, Marcel Prastawa, John H. Gilmore, Guido Gerig

      Pages 33-40

   6. BrainPrint : Identifying Subjects by Their Brain

      • Christian Wachinger, Polina Golland, Martin Reuter

      Pages 41-48

   7. Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics

      • Prasanna Muralidharan, James Fishbaugh, Hans J. Johnson, Stanley Durrleman, Jane S. Paulsen, Guido Gerig et al.

      Pages 49-56

   8. Simulating Neurodegeneration through Longitudinal Population Analysis of Structural and Diffusion Weighted MRI Data

      • Marc Modat, Ivor J. A. Simpson, Manual Jorge Cardoso, David M. Cash, Nicolas Toussaint, Nick C. Fox et al.

      Pages 57-64

   9. The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation

      • Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung

      Pages 65-72

3. Brain II

   1. Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI

      • Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi

      Pages 73-80

   2. Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex

      • Long Xie, John Pluta, Hongzhi Wang, Sandhitsu R. Das, Lauren Mancuso, Dasha Kliot et al.

      Pages 81-88

   3. Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex

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

      Pages 89-96

   4. Low-Rank to the Rescue – Atlas-Based Analyses in the Presence of Pathologies

      • Xiaoxiao Liu, Marc Niethammer, Roland Kwitt, Matthew McCormick, Stephen Aylward

      Pages 97-104

   5. Optimized PatchMatch for Near Real Time and Accurate Label Fusion

      • Vinh-Thong Ta, Rémi Giraud, D. Louis Collins, Pierrick Coupé

      Pages 105-112

   6. Functionally Driven Brain Networks Using Multi-layer Graph Clustering

      • Yasser Ghanbari, Luke Bloy, Varsha Shankar, J. Christopher Edgar, Timothy P. L. Roberts, Robert T. Schultz et al.

      Pages 113-120

   7. Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration

      • Miaomiao Zhang, P. Thomas Fletcher

      Pages 121-128

   8. New Partial Volume Estimation Methods for MRI MP2RAGE

      • Quentin Duché, Parnesh Raniga, Gary F. Egan, Oscar Acosta, Giulio Gambarota, Olivier Salvado et al.

      Pages 129-136

   9. Single-Subject Structural Networks with Closed-Form Rotation Invariant Matching Improve Power in Developmental Studies of the Cortex

      • Benjamin M. Kandel, Danny JJ Wang, James C. Gee, Brian B. Avants

      Pages 137-144

   10. T ₂-Relaxometry for Myelin Water Fraction Extraction Using Wald Distribution and Extended Phase Graph

       • Alireza Akhondi-Asl, Onur Afacan, Robert V. Mulkern, Simon K. Warfield

       Pages 145-152

The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 53 papers included in the third volume have been organized in the following topical sections: shape and population analysis; brain; diffusion MRI; and machine learning.

• biomechanical simulation
• computational anatomy
• computer aided diagnosis
• image analysis
• intervention planning
• medical imaging
• navigation
• robot intervention
• statistical atlases
• visualization

• MIT CSAIL, Cambridge, USA

  Polina Golland

• Department of Radiology, Brigham and Women’s Hospital, Boston, USA

  Nobuhiko Hata

• IRISA, CNRS/Inria Research Unit Visages, Campus Universitaire de Beaulieu, Rennes, Cedex, France,

  Christian Barillot

• Pattern Recognition Lab, University Erlangen-Nuremberg, Erlangen, Germany

  Joachim Hornegger

• Harvard School of Engineering and Applied Sciences, Cambridge, USA

  Robert Howe

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