Information Processing in Medical Imaging

1. Front Matter

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2. Segmentation

   1. A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation

      • Tobias Heimann, Sascha Münzing, Hans-Peter Meinzer, Ivo Wolf

      Pages 1-12

   2. Shape Regression Machine

      • Shaohua Kevin Zhou, Dorin Comaniciu

      Pages 13-25

   3. Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework

      • Kilian M. Pohl, Ron Kikinis, William M. Wells

      Pages 26-37

   4. Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support

      • Charles Florin, Nikos Paragios, Gareth Funka-Lea, James Williams

      Pages 38-49

3. Cardiovascular Imaging

   1. Adaptive Non-rigid Registration of Real Time 3D Ultrasound to Cardiovascular MR Images

      • Weiwei Zhang, J. Alison Noble, J. Mike Brady

      Pages 50-61

   2. Multi-slice Three-Dimensional Myocardial Strain Tensor Quantification Using zHARP

      • Khaled Z. Abd-Elmoniem, Matthias Stuber, Jerry L. Prince

      Pages 62-73

   3. Bayesian Tracking of Elongated Structures in 3D Images

      • Michiel Schaap, Ihor Smal, Coert Metz, Theo van Walsum, Wiro Niessen

      Pages 74-85

   4. Effective Statistical Edge Integration Using a Flux Maximizing Scheme for Volumetric Vascular Segmentation in MRA

      • Ali Gooya, Hongen Liao, Kiyoshi Matsumiya, Ken Masamune, Takeyoshi Dohi

      Pages 86-97

4. Detection and Labeling

   1. Joint Sulci Detection Using Graphical Models and Boosted Priors

      • Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda et al.

      Pages 98-109

   2. Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging

      • Ihor Smal, Katharina Draegestein, Niels Galjart, Wiro Niessen, Erik Meijering

      Pages 110-121

   3. Spine Detection and Labeling Using a Parts-Based Graphical Model

      • Stefan Schmidt, Jörg Kappes, Martin Bergtholdt, Vladimir Pekar, Sebastian Dries, Daniel Bystrov et al.

      Pages 122-133

   4. Lung Nodule Detection Via Bayesian Voxel Labeling

      • Paulo R. S. Mendonça, Rahul Bhotika, Fei Zhao, James V. Miller

      Pages 134-146

5. Poster Session I

   1. Functional Interactivity in fMRI Using Multiple Seeds’ Correlation Analyses – Novel Methods and Comparisons

      • Yongmei Michelle Wang, Jing Xia

      Pages 147-159

   2. Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images

      • Guorong Wu, Feihu Qi, Dinggang Shen

      Pages 160-171

   3. Information-Theoretic Analysis of Brain White Matter Fiber Orientation Distribution Functions

      • Ming-Chang Chiang, Andrea D. Klunder, Katie McMahon, Greig I. de Zubicaray, Margaret J. Wright, Arthur W. Toga et al.

      Pages 172-182

   4. Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm

      • Jason J. Corso, Zhuowen Tu, Alan Yuille, Arthur Toga

      Pages 183-197

   5. High-Quality Consistent Meshing of Multi-label Datasets

      • J. -P. Pons, F. Ségonne, J. -D. Boissonnat, L. Rineau, M. Yvinec, R. Keriven

      Pages 198-210

   6. Digital Homeomorphisms in Deformable Registration

      • Pierre-Louis Bazin, Lotta Maria Ellingsen, Dzung L. Pham

      Pages 211-222

   7. Incorporating DTI Data as a Constraint in Deformation Tensor Morphometry Between T1 MR Images

      • Colin Studholme

      Pages 223-232

The 20th International Conference on Information Processing in Medical Im- ing(IPMI)washeldduringJuly2–6,2007,atRolducAbbey,locatedinKerkrade in the south of the Netherlands. Following the highly successful IPMI in Gl- wood Springs in the Rocky Mountains, Colorado, USA (2005), the conference was the latest in a series of biennial scienti?c meetings where new developments in acquisition, analysis, and use of medical images are presented. IPMI is one of the longest running conferences in medical imaging. It was started in 1969 by a group of young scientists working in nuclear medicine. With a few iterations the conference expanded to other areas and became established as an important meeting for in-depth discussion of new methodological developments in me- cal imaging. Nowadays it is widely recognized as one of the most exciting and in?uential conferences in its ?eld. At IPMI meetings a wide variety of topics are covered by a relatively small selection of papers presented in single-track sessions. This year, there were 210 manuscripts submitted to the conference. Of these papers, 26 were accepted for oral presentation, and 37 papers were accepted as posters. Papers were ca- fully judged by three reviewers and two paper selection committee members, with emphasis on originality, methodological development, scienti?c rigor, and relevance. Selection of papers was di?cult, but using the rankings and detailed comments of the reviewerswe wereable to makea greatselectionin anobjective way. Unfortunately, due to the large number of submissions, it was inevitable that many high-quality papers did not make it into the ?nal program.

• 3D
• Augmented Reality
• Bayesian estimation
• Mapping
• brain imaging
• cardiac diagnosiscomputer aided diagnosis
• classification
• discrete optimization
• evolutionary algorithm
• fMRI analysis
• image analysis
• linear programming
• magnetic resonance imaging
• modeling
• optical coherence tomography

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