Image Processing: Brain and Spine
Hall 4
Wednesday: 13:30 - 15:30
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803.
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3D Neuroantomical Segmentation of MR Brain Images
Choong Leong Tan1, Jagath Rajapakse1
1Nanyang Technological University, Singapore.
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804.
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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.
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805.
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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.
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806.
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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.
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807.
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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.
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808.
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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.
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809.
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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.
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810.
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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.
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811.
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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.
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812.
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Evaluation of Brain Atrophy Measurements from Multiple Scanners
Elizabeth Fisher1, Karla Dixon1, Daniel Finelli1, Jean Tkach1, Frank Difilippo1
1Cleveland Clinic Foundation, Cleveland, OH, USA.
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813.
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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.
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814.
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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.
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815.
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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.
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816.
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Brain Volumes From 3D Volumetric MRI Images
Charles Dennis Smith1, Anders Andersen1
1University of Kentucky, Medicine, Lexington, KY, USA.
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817.
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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.
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818.
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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.
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819.
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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.
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820.
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Validation of Anisotropic Filtering for Myelin Water Maps
Craig Jones1, Kenneth Whittall1, Alex MacKay1
1University of British Columbia, Vancouver, BC, Canada.
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821.
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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.
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822.
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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.
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823.
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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.
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Image Processing: Cardiac and Vascular
Hall 4
Wednesday: 13:30 - 15:30
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824.
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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.
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825.
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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.
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826.
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Fast LV Segmentation in Single Slices
Krishna Nayak1, Shin-Ichi Urayama2, Craig Meyer1
1Stanford University, Stanford, CA, USA; 2National Cardiovascular Center, Osaka, Japan.
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827.
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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.
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828.
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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.
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829.
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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.
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830.
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Automatic, Accurate, Real-time Processing of SPAMM-tagged Myocardium Images
Cyril Allouche1
1Philips Research France, Limeil-Brevannes, France.
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831.
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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.
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832.
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A Novel Segmentation Technique For Quantitative Evaluation of Atherosclerotic Plaque Tissues Using MR Images with Multiple Contrast Weighting
Dong Xiang Xu1
1Seattle, WA, USA.
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833.
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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.
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834.
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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.
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835.
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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.
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836.
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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.
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Image Processing: Body
Hall 4
Wednesday: 13:30 - 15:30
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837.
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3D Finite Element Model for Breast MRI Non-rigid Registration
Abbas Samani1, Jonathan Bishop1, Donald Plewes1
1University of Toronto, Toronto, ON, Canada.
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838.
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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.
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839.
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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.
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840.
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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.
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841.
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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.
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842.
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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.
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843.
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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.
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844.
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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.
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845.
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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.
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846.
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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.
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847.
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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.
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848.
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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.
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849.
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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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