| Tuesday 24 September 2013 |
Poster Session 2 (13:30 - 16:00)
Motion modeling and compensation
Chairs: Ziv Yaniv (Childrenʼs Nat. Med. Ctr., US)
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| P2-01 |
Registration of Free-Breathing 3D+t Abdominal Perfusion CT Images via Co-Segmentation
R. Prevost, B. Romain, R. Cuingnet, B. Mory, L. Rouet, O. Lucidarme, L.D. Cohen, R. Ardon,
Philips Research, Ecole Centrale Paris, Hopital La Pitie-Salpetriere, Paris Dauphine University |
| P2-02 |
Respiratory Motion Compensation with Relevance Vector Machines
Robert Durichen, Tobias Wissel, Floris Ernst, Achim Schweikard,
University of Lubeck |
| P2-03 |
Real-time Respiratory Motion Analysis Using Manifold Ray Casting of Volumetrically Fused Multi-View Range Imaging
Jakob Wasza, Sebastian Bauer, Joachim Hornegger,
University Erlangen-Nuremberg |
| P2-04 |
Improving 2D-3D registration optimization using learned prostate motion data
Tharindu De Silva, Derek W. Cool, Jing Yuan, Cesare Romagnoli, Aaron Fenster, Aaron D. Ward,
University of Western Ontario, Robarts Research Institute |
| P2-05 |
Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing
Valentin Hamy, Alex Menys, Emma Helbren, Freddy Odille, Shonit Punwani, Stuart Taylor, David Atkinson,
University College London, University College London Hospitals, Nancy University |
| P2-06 |
Non-rigid deformation pipeline for compensation of superficial brain shift
Filipe M. M. Marreiros, Sandro Rossitti, Chunliang Wang, Orjan Smedby,
Linkoping University, County Council of Ostergotland |
| P2-07 |
A Symmetric 4D Registration Algorithm for Respiratory Motion Modeling
Huanhuan Xu, Xin Li,
Louisiana State University |
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Segmentation I
Chairs: Christian Wachinger (MIT, US) |
| P2-08 |
Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models
Mustafa Gokhan Uzunbas, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris Metaxas,
Rutgers University, University of Pennsylvania |
| P2-09 |
Multi-organ Segmentation based on Spatially-divided Probabilistic Atlas from 3D Abdominal CT Images
Chengwen Chu, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yuichiro Hayashi, Yukitaka Nimura, Daniel Rueckert, Kensaku Mori,
Nagoya University, Aichi Institute of Technology, Aichi Cancer Center Hospital, Imperial College London |
| P2-10 |
An Automatic Multi-atlas Segmentation of the Prostate in Transrectal Ultrasound Images Using Pairwise Atlas Shape Similarity
Saman Nouranian, S. Sara Mahdavi, Ingrid Spadinger, William J. Morris, Septimiu E. Salcudean, Purang Abolmaesumi,
University of British Columbia, British Columbia Cancer Agency |
| P2-11 |
Accurate Bone Segmentation in 2D Radiographs Using Fully Automatic Shape Model Matching Based On Regression-Voting
C. Lindner, S. Thiagarajah, J.M. Wilkinson, arcOGEN Consortium, G.A. Wallis, T.F. Cootes,
The University of Manchester, The University of Sheffield, arcOGEN |
| P2-12 |
Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models
Futoshi Yokota, Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano, Yukio Tada, Noriyuki Tomiyama, Yoshinobu Sato,
Kobe University, Osaka University Graduate School of Medicine |
| P2-13 |
Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior
Wu Qiu, Jing Yuan, Eranga Ukwatta, Yue Sun, Martin Rajchl, Aaron Fenster,
Robarts Research Institute |
| P2-14 |
Image segmentation errors correction by mesh segmentation and deformation
A. Kronman, L. Joskowicz,
The Hebrew University of Jerusalem |
| P2-15 |
Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease
Dwarikanath Mahapatra, Peter J. Schuffler, Jeroen A.W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann,
ETH Zurich, Academic Medical Centre Amsterdam |
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Machine learning, statistical modeling, and atlases II
Chairs: Tobias Heimann (Siemens, DE) |
| P2-16 |
Hierarchical Constrained Local Model Using ICA and Its Application to Down Syndrome Detection
Qian Zhao, Kazunori Okada, Kenneth Rosenbaum, Dina J. Zand, Raymond Sze, Marshall Summar, Marius George Linguraru,
Children's National Medical Center, San Francisco State University |
| P2-17 |
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound
Pierre Chatelain, Olivier Pauly, Loic Peter, Seyed-Ahmad Ahmadi, Annika Plate, Kai Botzel, Nassir Navab,
Technische Universitat Munchen, Ecole Normale Superieure de Cachan, Antenne de Bretagne, LMU |
| P2-18 |
Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology
Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally, Anant Madabhushi,
Case Western Reserve University, Rutgers University |
| P2-19 |
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network
Adhish Prasoon, Kersten Petersen, Christian Igel, Francois Lauze, Erik Dam, Mads Nielsen,
University of Copenhagen, Biomediq |
| P2-20 |
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation
Shu Liao, Yaozong Gao, Aytekin Oto, Dinggang Shen,
University of North Carolina at Chapel Hill, University of Chicago |
| P2-21 |
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
B. Glocker, D. Zikic, E. Konukoglu, D. R. Haynor, A. Criminisi,
Microsoft Research, Massachusetts General Hospital, Univ of Washington |
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Computer aided diagnosis and imaging biomarkers II
Chairs: Nico Karssemeijer (Radboud U., NL) |
| P2-22 |
A multi-task learning approach for compartmental model parameter estimation in DCE-CT sequences
B. Romain, V. Letort, O. Lucidarme, L. Rouet, F. d'Alche-Buc,
Ecole Centrale Paris, Hopital La Pitie-Salpetriere, Philips Research, INRIA |
| P2-23 |
Ultrasound-based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study
Farhad Imani, Purang Abolmaesumi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, D. Robert Siemens, Michael Leviridge, Silvia Chang, Aaron Fenster, Aaron D. Ward, Parvin Mousavi,
Queen's University, University of British Columbia, Western University, London Health Science Centre, Kingston General Hospital, Vancouver General Hospital |
| P2-24 |
Quantitative Airway Analysis in Longitudinal Studies using Groupwise Registration and 4D Optimal Surfaces
Jens Petersen, Marc Modat, Manuel Jorge Cardoso, Asger Dirksen, Sebastien Ourselin, Marleen de Bruijne,
University of Copenhagen, University College London, Lungemedicinsk afdeling, Gentofte hospital, Erasmus MC |
| P2-25 |
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk
Majid Mahrooghy, Ahmed B. Ashraf, Dania Daye, Carolyn Mies, Michael Feldman, Mark Rosen, Despina Kontos,
University of Pennsylvania |
| P2-26 |
Multifold Bayesian Kernelization in Alzheimer's Diagnosis
Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng,
The University of Sydney, BWH-Harvard, the Chinese University of Hong Kong |
| P2-27 |
High-order Graph Matching based Feature Selection for Alzheimer's Disease Identification
Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen,
University of Electronic Science and Technology of China, University of North Carolina at Chapel Hill |
| P2-28 |
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks
Chong-Yaw Wee, Yang Li, Biao Jie, Zi-Wen Peng, Dinggang Shen,
University of North Carolina at Chapel Hill |
| P2-29 |
Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields
Marco Lorenzi, Bjoern H Menze, Marc Niethammer, Nicholas Ayache, Xavier Pennec,
INRIA Sophia Antipolis, ETH Zurich, University of North Carolina at Chapel Hill |
| P2-30 |
Measurement of myelin in the preterm brain: multi-compartment diffusion imaging and multi-component T2 relaxometry
Andrew Melbourne, Zach Eaton-Rosen, Alan Bainbridge, Giles S. Kendall, M. Jorge Cardoso, Nicola J. Robertson, Neil Marlow, Sebastien Ourselin,
University College London, University College Hospital |
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Physiological modeling, simulation, and planning I
Chairs: Stephen Aylward (Kitware, US) |
| P2-31 |
Stent shape estimation through a comprehensive interpretation of intravascular ultrasound images
Francesco Ciompi, Simone Balocco, Carles Caus, Josepa Mauri, Petia Radeva,
University of Barcelona, University Hospital Germans Trias i Pujol |
| P2-32 |
Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons
Oscar Alfonso Jimenez del Toro, Antonio Foncubierta-Rodriguez, Maria Isabel Vargas Gomez, Henning Muller, Adrien Depeursinge,
University of Applied Sciences Western Switzerland (HES-SO), Geneva university hospitals |
| P2-33 |
Statistical Shape Model to 3D Ultrasound Registration for Spine Interventions Using Enhanced Local Phase Features
Ilker Hacihaliloglu, Abtin Rasoulian, Robert N. Rohling, Purang Abolmaesumi,
University of British Columbia |
| P2-34 |
Learning-based Modeling of Endovascular Navigation for Collaborative Robotic Catheterization
Hedyeh Rafii-Tari, Jindong Liu, Su-Lin Lee, Colin Bicknell, Guang-Zhong Yang,
Imperial College London |
| P2-35 |
Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy
Yaozong Gao, Yiqiang Zhan, Dinggang Shen,
University of North Carolina at Chapel Hill, Siemens Medial Solutions |
| P2-36 |
A tensor-based population value decomposition to explain rectal toxicity after prostate cancer radiotherapy
Juan David Ospina, Frederic Commandeur, Richard Rios, Gael Drean, Juan Carlos Correa, Antoine Simon, Pascal Haigron, Renaud de Crevoisier, Oscar Acosta,
INSERM U1099, LTSI Universite de Rennes 1, National University of Colombia |
| P2-37 |
Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment
Sasa Grbic, Tommaso Mansi, Razvan Ionasec, Ingmar Voigt, Helene Houle, Matthias John, Max Schoebinger, Nassir Navab, Dorin Comaniciu,
Siemens Corporate Research, Siemens AG, Technische Universitat Munchen |
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Microscope, optical imaging, and histology II
Chairs: James Gee (UPenn, US) |
| P2-38 |
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection
Angel Cruz-Roa, John Arevalo, Anant Madabhushi, Fabio Gonzalez,
Universidad Nacional de Colombia, Case Western Reserve University |
| P2-39 |
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
Dan C. Ciresan, Alessandro Giusti, Luca M. Gambardella, Juergen Schmidhuber,
IDSIA (Dalle Molle Institute for Artificial Intelligence) |
| P2-40 |
Learning to Segment Neurons with non-local Quality Measures
Thorben Kroeger, Shawn Mikula, Winfried Denk, Ullrich Koethe, Fred A. Hamprecht,
University of Heidelberg, Max Planck Institute for Medical Research |
| P2-41 |
Analysis of trabecular bone microstructure using contour tree connectivity
D. Baran Aydogan, Niko Moritz, Hannu T. Aro, Jari Hyttinen,
Tampere University of Technology, University of Turku |
| P2-42 |
Automated Separation of Binary Overlapping Trees in Low-Contrast Color Retinal Images
Qiao Hu, Michael D. Abramoff, Mona K. Garvin,
The University of Iowa |
| P2-43 |
Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model
Yu-Ying Liu, Hiroshi Ishikawa, Mei Chen, Gadi Wollstein, Joel S. Schuman, James M. Rehg,
Georgia Institute of Technology, University of Pittsburgh School of Medicine, Intel Science and Technology Center on Embedded Computing |
| P2-44 |
Discriminative Data Transform for Image Feature Extraction and Classification
Yang Song, Weidong Cai, Seungil Huh, Mei Chen, Takeo Kanade, Yun Zhou, Dagan Feng,
The University of Sydney, Carnegie Mellon University, Intel Science and Technology Center on Embedded Computing, Johns Hopkins University School of Medicine |
| P2-45 |
Automated embryo stage classification in time-lapse microscopy video of early human embryo development
Yu Wang, Farshid Moussavi, Peter Lorenzen,
Auxogyn, Inc. |
| P2-46 |
Automatic Grading of Nuclear Cataracts from Slit-lamp Lens Images Using Group Sparsity Regression
Yanwu Xu, Xinting Gao, Stephen Lin, Damon Wing Kee Wong, Jiang Liu, Dong Xu, Ching-Yu Cheng, Carol Y Cheung, Tien Yin Wong,
Institute for Infocomm Research, ASTAR, Mircosoft Research Asia, Nanyang Technological University, Singapore Eye Research Institute |
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Cardiology II
Chairs: Alistair Young (U. Auckland, NZ) |
| P2-47 |
3D Intraventricular Flow Mapping from Colour Doppler Images and Wall Motion
Alberto Gomez, Adelaide de Vecchi, Kuberan Pushparajah, John Simpson, Daniel Giese, Tobias Schaeffter, Graeme Penney,
King's College, London, Guy and St Thomas' Hospital |
| P2-48 |
Myocardial motion estimation combining tissue Doppler and B-mode echocardiographic images
A. R. Porras, M. De Craene, N. Duchateau, M. Sitges, B. H. Bijnens, A. F. Frangi, G. Piella,
Universitat Pompeu Fabra, Philips Research - Medisys, Universitat de Barcelona, University of Sheffield |
| P2-49 |
Joint Statistics on Cardiac Shape and Fiber Architecture
Herve Lombaert, Jean-Marc Peyrat,
McGill University, Qatar Robotic Surgery Centre |
| P2-50 |
Spatio-Temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing
K. McLeod, C. Seiler, M. Sermesant, X. Pennec,
INRIA, University of Bern |
| P2-51 |
Cardiac Fiber Inpainting Using Cartan Forms
Emmanuel Piuze, Herve Lombaert, Jon Sporring, Kaleem Siddiqi,
McGill University, University of Copenhagen |
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Vasculatures and tubular structures II
Chairs: Leo Grady (Heart Flow, US) |
| P2-52 |
Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion
Shijun Wang, Brandon Peplinski, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers,
National Institutes of Health |
| P2-53 |
Tracking of Carotid Arteries in Ultrasound Images
Shubao Liu, Dirk Padfield, Paulo Mendonca,
General Electric Global Research |
| P2-54 |
Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels
Roland Kwitt, Danielle Pace, Marc Niethammer, Stephen Aylward,
Kitware Inc., University of North Carolina Chapel Hill |
| P2-55 |
Carotid artery lumen segmentation in 3D free-hand ultrasound images using surface graph cuts
Andres M. Arias Lorza, Diego D. B. Carvalho, Jens Petersen, Anouk C. van Dijk, Aad van der Lugt, Wiro J. Niessen, Stefan Klein, Marleen de Bruijne,
Erasmus MC, University of Copenhagen |
| P2-56 |
Random Walks with Adaptive Cylinder Flux based Connectivity for Vessel Segmentation
Ning Zhu, Albert C. S. Chung,
The Hong Kong University of Science and Technology |
| P2-57 |
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces
Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Daniel J. Mollura,
National Institutes of Health |
| P2-58 |
Interactive Retinal Vessel Extraction by Integrating Vessel Tracing and Graph Search
Lu Wang, Vinutha Kallem, Mayank Bansal, Jayan Eledath, Harpreet Sawhney, Karen Karp, Denise J. Pearson, Monte D. Mills, Graham E. Quinn, Richard A. Stone,
SRI International, Children's Hospital of Philadelphia, University of Pennsylvania |
| P2-59 |
Free-Breathing Whole-Heart Coronary MRA: Motion Compensation Integrated into 3D Cartesian Compressed Sensing Reconstruction
Christoph Forman, Robert Grimm, Jana Hutter, Andreas Maier, Joachim Hornegger, Michael O. Zenge,
Pattern Recognition Lab, FAU Erlangen, Siemens Healthcare, Magnetic Resonance |
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Brain segmentation and atlases II
Chairs: Koen Van Leemput (Harvard Med. Sch. MGH. US) |
| P2-60 |
Deep Learning-based Feature Representation for AD/MCI Classification
Heung-Il Suk, Dinggang Shen,
University of North Carolina at Chapel Hill |
| P2-61 |
Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations
Benoit Da Mota, Virgile Fritsch, Gael Varoquaux, Vincent Frouin, Jean-Baptiste Poline, Bertrand Thirion,
INRIA Parietal team, CEA, DSV, I2BM, Neurospin |
| P2-62 |
Multiple Instance Learning for Classification of Dementia in Brain MRI
Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert,
Imperial College London, Kings College London |
| P2-63 |
Extracting brain regions from rest fMRI with Total-Variation constrained dictionary learning
Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gael Varoquaux,
INRIA Saclay, Stony Brook Univeristy |
| P2-64 |
Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data
Thomas Vincent, Jan Warnking, Marjorie Villien, Alexandre Krainik, Philippe Ciuciu, Florence Forbes,
INRIA Grenoble Rhone-Alpes, INSERM U836, CEA |
| P2-65 |
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis
Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen,
University of Texas at Arlington, Indiana University School of Medicine, University of Sydney |
| P2-66 |
Manifold Learning of Brain MRIs by Deep Learning
Tom Brosch, Roger Tam,
University of British Columbia |
| P2-67 |
Multiresolution Hierarchical Shape Models in 3D Subcortical Brain Structures
Juan J. Cerrolaza, Noemi Carranza Herrezuelo, Arantxa Villanueva, Rafael Cabeza, Miguel A. Gonzalez Ballester, Marius George Linguraru,
Children's National Medical Center, Alma IT Systems, Public University of Navarra |
| P2-68 |
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen,
University of North Carolina at Chapel Hill |
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Functional MRI and neuroscience applications I
Chairs: Bertrand Thirion (INRIA, FR) |
| P2-69 |
A spatial mixture approach to inferring sub-ROI spatio-temporal patterns from rapid event-related fMRI data
Yuan Shen, Stephen Mayhew, Zoe Kourtzi, Peter Tino,
The University of Birmingham |
| P2-70 |
Group-wise FMRI Activation Detection on Corresponding Cortical Landmarks
Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu,
Northwestern Polytechnical University, University of Georgia |
| P2-71 |
Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI
Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu,
University of Georgia, Emory University, Northwestern Polytechnical University, University of North Carolina at Chapel Hill |
| P2-72 |
Overlapping Replicator Dynamics for Functional Subnetwork Identification
Burak Yoldemir, Bernard Ng, Rafeef Abugharbieh,
University of British Columbia, INRIA Saclay |
| P2-73 |
Genetic clustering on the hippocampal surface for genome-wide association studies
Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen, Andrew J. Saykin, Greig I. de Zubicaray, Katie L. McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, Paul M. Thompson,
University of California, Los Angeles, QIMR, Indiana University School of Medicine, Indiana University Bloomington, University of Queensland, KG Jebsen Centre, University of Oslo |
| P2-74 |
Modeling Dynamic Functional Information Flows on Large-scale Brain Networks
Peili Lv, Lei Guo, Xintao Hu, Xiang Li, Changfeng Jin, Junwei Han, Lingjiang Li, Tianming Liu,
Northwestern Polytechnical University, University of Georgia, The Mental Health Institute, The Second Xiangya Hospital, Central South University |
Poster presentations of the papers of Oral Sessions 2 & 3 are assigned to Poster Session 2.
