Monday am opening session clyde Auditorium 07: 45 08: 20 Welcome and Medal Presentations


Image Processing: Brain and Spine



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Image Processing: Brain and Spine

Hall 4


Wednesday: 13:30 - 15:30








803.

3D Neuroantomical Segmentation of MR Brain Images

Choong Leong Tan1, Jagath Rajapakse1

1Nanyang Technological University, Singapore.






804.

Hybrid Atlas-Based and Image-Based Approach for the Automatic Segmentation of Brain Structures.

Olivier Musse1, Gloria Bueno2, Fabrice Heitz2, Jean-Paul Armspach1, Izzie Namer1, Daniel Grucker1

1Institut Physique Biologique, Strasbourg, France; 2LSIIT ULP, Strasbourg, France.






805.

Effect of Gain Field Inhomogeneity Correction on Automated Segmentation of the Intracranial Cavity

Ying Wu1, William M. Wells III1, Simon K Warfield1, Xingchang Wei1, Xiaoming Li1, Mark Anderson1, Charles R.G. Guttmann1

1Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.






806.

Unsupervised Statistical Segmentation and Stereological Validation of 3D T1/T2 Brain Tissue Grey and White Matter Volumes Using Mahalanobis Distance Method

Calvin Hisley1, Katrina Read1, Rao P Gullapalli1

1University of Maryland, Baltimore, Baltimore, MD, USA.






807.

Application of Independent Component Analysis for Better Segmentation of Gray and White Matters

Toshiharu Nakai1, Shigeru Muraki2, Haruo Isoda3, Yasuo Takehara3, Harumi Sakahara3, Kayako Matsuo1, Chikako Kato4, Yukio Miki5

1AIST / Kobe AMC, Ikeda, Osaka Japan; 2AIST, MITI, Tsukuba, Ibaragi Japan; 3Hamamatsu University School of Medicine, Hamamatsu, Japan; 4Toyohashi Sozo College, Toyohashi, Japan; 5Kyoto University Hospital, Sakyo-ku, Kyoto, Japan.






808.

Segmentation of Brain Tumor Boundaries using Pattern Recognition of Magnetic Resonance Spectroscopy

Donald J. Peck1, David O. Hearshen1, Lisa Scarpace1, Hamid Soltanian-Zadeh1, Tom Mikkelsen1

1Henry Ford Hospital, Detroit, MI, USA.






809.

Comparison of Quadratic and Linear Discriminate Analyses in the Self-Adaptive Feature Vector Quantization Scheme for MR Image Segmentation

Lihong Li1, Dongqing Chen1, Hongbing Lu1, Zhengrong Liang1

1State University of New York at Stony Brook, Stony Brook, NY, USA.






810.

An Automated Registration Algorithm for Measuring Relative Rotation of Vertebrae in Spinal MR Images

Baxter Rogers1, Victor Haughton1, M. Meyerand1

1University of Wisconsin-Madison, Madison, WI, USA.






811.

Intra-Subject Slice-to-Volume Registration of MR Images

Tae-Seong Kim1, Sungheon Kim1, Nilesh Ghugre1, Jeong Won Jeong1, Manbir Singh1

1University of Southern California, Los Angeles, CA, USA.






812.

Evaluation of Brain Atrophy Measurements from Multiple Scanners

Elizabeth Fisher1, Karla Dixon1, Daniel Finelli1, Jean Tkach1, Frank Difilippo1

1Cleveland Clinic Foundation, Cleveland, OH, USA.






813.

Volume Measurements of the Caudate Nucleus using High-Resolution 3D Magnetic Resonance Imaging

Kilichan Gurleyik1, Yingbiao Xu2, E. Mark Haacke2

1Washington University, The MRI Institute for Biomedical Research, Brentwood, MO, USA; 2The MRI Institute for Biomedical Research, St. Louis, MO, USA.






814.

Registration of Postmortem Brain Slices to Matching MR Slices within 3D Reference MRI

Tae-Seong Kim1, Manbir Singh1, Nilesh Ghugre1, Sungheon Kim1, Chris Zarow1, Helena Chui1

1University of Southern California, Los Angeles, CA, USA.






815.

Estimation of Multiple Sclerosis Lesions´ 3-D Geometry by Spherical Harmonics

Daniel Goldberg-Zimring1, Anat Achiron2, Shmuel Miron2, Haim Azhari1

1Technion- Israel Institute of Technology, Technion City, Haifa Israel; 2Sheba Medical Center, Tel Hashomer, Israel.






816.

Brain Volumes From 3D Volumetric MRI Images

Charles Dennis Smith1, Anders Andersen1

1University of Kentucky, Medicine, Lexington, KY, USA.






817.

Reduction of the Brain Tissue Volume in Alzheimer Disease. Clinical

study vs Quantitative Measurements

Krzysztof Szybinski1, Andrzej Urbanik2, Rafal Motyl2, Andrzej Szczudlik2, Justyna Kozub2, Barbara Sobiecka2, Andrzej Jasinski1

1H. Niewodniczanski Institute of Nuclear Physics, Krakow, Poland; 2Jagiellonian University, Krakow, Poland.





818.

Building Whole Brain Maps of Atrophy Rate from Multi-Subject Longitudinal Studies Using Free Form Deformations.

Colin Studholme1, Valerie A Cardenas-Nicolson1, Michael Weiner1

1University of California, San Francisco, San Francisco, CA, USA.






819.

Quantification of Spinal Cord Atrophy via an Active Surface Model

Olivier Coulon1, Geoffrey J.M. Parker2, Simon J. Hickman2, Simon R. Arridge1

1University College London, London, England, UK; 2Institute of Neurology, London, England, UK.






820.

Validation of Anisotropic Filtering for Myelin Water Maps

Craig Jones1, Kenneth Whittall1, Alex MacKay1

1University of British Columbia, Vancouver, BC, Canada.






821.

An Alternative Approach to Visualizing m-Dimensional MRI Data

Sean Deoni1, Brian K. Rutt1, Terry M. Peters1

1The John P. Robarts Research Institute, London, Ontario, Canada.






822.

Definition of the Neurochemical Patterns of Human Head Injury in 1H MRS Using Wavelet Analysis

Frederick Shic1, Alexander Lin1, C Hunter Shelden1, Nick Panagiotacopulos2, Brian Ross1

1Huntington Medical Research Institutes, Pasadena, CA, USA; 2California State University, Long Beach, CA, USA.






823.

Hippocampal Sclerosis in Mesial Temporal Lobe Epilepsy Characterised by MRI-Texture Analysis; Clinical Interest

Olivier Yu1, Yves Mauss1, Izzie Namer1, Jacques Chambron1

1Université Louis Pasteur de Strasbourg, Faculté de Médecine, Strasbourg, France.




Image Processing: Cardiac and Vascular

Hall 4


Wednesday: 13:30 - 15:30








824.

An Automatic Method to Measure Vessel Wall Thickness Based on Black Blood MRI

Xiaojian Kang1, Dongxiang Xu2, Chun Yuan2

1University of California at Davis, School of Medicine, Martinez, CA, USA; 2University of Washington, Seattle, WA, USA.






825.

Automatic Perfusion Analysis Tool from Contrast Enhanced Cardiac MRI

Maria Filomena Santarelli1, Vincenzo Positano1, Franco Gianvanni2, Luigi Landini2, Massimo Lombardi1, Antonio L' Abbate1, Antonio Benassi1

1Institute of Clinical Physiology, Pisa, Italy; 2Dept. of Information Engineering, Pisa, Italy.






826.

Fast LV Segmentation in Single Slices

Krishna Nayak1, Shin-Ichi Urayama2, Craig Meyer1

1Stanford University, Stanford, CA, USA; 2National Cardiovascular Center, Osaka, Japan.






827.

Automated Segmentation of Cardiac Magnetic Resonance Images

M. B. Stegmann1, J. C. Nilsson2, B. A. Grønning2

1Technical University of Denmark, Lyngby, Denmark; 2H:S Hvidovre Hospital, Hvidovre, Denmark.






828.

Mapping Left Ventricle Wall Motion and Strain from MR Tagging Images. Application on Left Bundle Branch Block Patients.

Annette Van Der Toorn1, Gabriel Snoep1, Petra Van Pol1, Frits W. Prinzen1, Theo Arts1

1Maastricht University, Maastricht, Netherlands.






829.

Synthetic Tagged MR Images For Real-time HARP Imaging

Nael F Osman1, Smita Sampath1, J. Andrew Derbyshire2, Ergin Atalar1, Jerry Ladd Prince1

1Johns Hopkins University, Baltimore, MD, USA; 2GE Medical Systems, Milwaukee, WI, USA.






830.

Automatic, Accurate, Real-time Processing of SPAMM-tagged Myocardium Images

Cyril Allouche1

1Philips Research France, Limeil-Brevannes, France.






831.

Computation and Visualization of 3D Tag Intersections from a 4D B-Spline Model of Tagged MRI

J. Huang1, Amir A. Amini1

1Washington University, St. Louis, MO, USA.






832.

A Novel Segmentation Technique For Quantitative Evaluation of Atherosclerotic Plaque Tissues Using MR Images with Multiple Contrast Weighting

Dong Xiang Xu1

1Seattle, WA, USA.






833.

Quantitative Tissue Characterization of Atheroslerotic Plaques by Magnetic Resonance: Comparison Between Ex Vivo and Histological Findings

Maria Filomena Santarelli1, Alessandro Pingitore1, Mirko Cosottini2, Vincenzo Positano1, Angelo Bonadio2, Luigi Landini3, Massimo Lombardi1, Antonio L'Abbate1, Antonio Benassi1

1Institute of Clinical Physiology, Pisa, Italy; 2Pisa University, Pisa, Italy; 3Dept. of Information Engineering, Pisa, Italy.






834.

Detecting Objects In MR Image Sequences Based On Minimal Path Active Contour Model

Chao Han1, Williams S Kerwin1, Thomas S. Hatsukami2, Jeng Neng Hwang1, Chun Yuan1

1University of Washington, Seattle, WA, USA; 2University of Washington, School of Medicine, Veterans Affairs Puget Sound Health Care System, Seattle, WA. USA.






835.

Automated Analysis of Cine Phase Contrast Velocity Images using Score Guided Erosion

Martin J Graves1, Mark P Brewin1, Andrew N Priest1, Richard A R Coulden1

1University of Cambridge, Addenbrooke's Hospital, Cambridge, England, UK.






836.

A New Automatic Method for Producing Venograms From Pre and Post Gadolinium Enhanced 3D Data

David Brennan1, Barrie Condon1, Donald Hadley1

1Southern General Hospital, Glasgow, Scotland, UK.


Image Processing: Body

Hall 4


Wednesday: 13:30 - 15:30








837.

3D Finite Element Model for Breast MRI Non-rigid Registration

Abbas Samani1, Jonathan Bishop1, Donald Plewes1

1University of Toronto, Toronto, ON, Canada.






838.

3-D Topographic Characterization of Breast Lesions based on Contrast Enhanced MR Images

Meiyappan Solaiyappan1, Karen H. Shahar1, David A. Bluemke1

1Johns Hopkins University, Baltimore, MD, USA.






839.

An Artificial Neural Network for the Segmentation of Dynamic MR Mammographic Image Series

Robert E.A. Lucht1, Stefan Delorme2, Gunnar Brix1

1Bundesamt fuer Strahlenschutz, Oberschleissheim, Germany; 2Deutsches Krebsforschungszentrum, Heidelberg, Germany.






840.

Automated Nasopharyngeal Carcinoma Detection with Pharmacokinetic Dynamic Gadolinium-Enhanced MR Imaging

Ping H. Lai1, Cheng C Hsu2, Chung N Lee, Wei L Chen, Huay B Pan, Chien F Yang

1Veterans General Hospital-Kaohsiung, Kaohsiung, Taiwan; 2National Sun Yat-Sen University.






841.

Validation of a Registration Algorithm for Serial 3D MR Data Sets

Jürgen R. Reichenbach1, Jens Hopfe2, Matthias E. Bellemann2, Werner A. Kaiser1

1Friedrich-Schiller-Universität Jena, Jena, Germany; 2University of Applied Sciences, Jena, Germany.






842.

Border and Texture Descriptors for Breast MRI Lesions

R. Sivaramakrishna1, N. Obuchowski1, S. A. Englander2, M. Schnall2

1Cleveland Clinic Foundation, Cleveland, OH, USA; 2University of Pennsylvania, Philadelphia, PA, USA.






843.

Modeling Liver Motion and Deformation During the Respiratory Cycle Using Intensity-Based Free-Form Registration of Gated MR Images

Torsten Rohlfing1, Walter O'Dell1, Calvin R Maurer Jr1, Jianhui Zhong1

1University of Rochester, Rochester, NY, USA.






844.

A Fast Method for Estimating Voxel Bone Volume Fractions from In Vivo High-Resolution MR Images

Scott Nyshin Hwang1, Felix W. Wehrli1

1University of Pennsylvania Medical Center, Philadelphia, PA, USA.






845.

Integrated Processing System for In Vivo MR Images of Trabecular Bone Networks

Bryon Gomberg1, Punam Saha1, Scott N. Hwang1, Hee Kwon Song1, Felix Wehrli1

1University of Pennsylvania, Philadelphia, PA, USA.






846.

A Numerical Model for the Quantitation of High-Resolution Skin Images at 2.0 T with Application to the Effects of Hydration

Karen Gannon1, Matthew Clemence1, Ian Robert Summers1, Nigel Davies1, Gill Miller2

1University of Exeter, Exeter, Devon, UK; 2Royal Devon and Exeter Hospital, Exeter, Devon, UK.






847.

In Vivo Measurement of Changes in Cartilage Lesions from MRI of the Knee using Image Registration and Semi-Automated Image Analysis.

John A Lynch1, Souhil Zaim1, Jenny Zhao1, Charles G Peterfy1, Harry K Genant1

1University of California at San Francisco, San Francisco, CA, USA.






848.

Quantification of Bone Lesion Changes in Rheumatoid Arthritis by Temporal Multispectral Analysis

Richard A. D. Carano1, John A. Lynch2, Yves Miaux1, Souhil Zaim2, Harry K. Genant2

1Synarc Inc., San Francisco, CA, USA; 2University of California, San Francisco, CA, USA.






849.

Segmentation of Muscle and Fat Compartments from MR Images using a Fuzzy Clustering Algorithm

Vincent Barra1, Boire Jean-Yves1

1ERIM - Faculty of Medicine, Clermont Ferrand, France.





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