NA-MIC National Alliance for Medical Image Computing Training Core Update Sonia Pujol, PhD Randy Gollub, MD, PhD Harvard Medical School.

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Presentation transcript:

NA-MIC National Alliance for Medical Image Computing Training Core Update Sonia Pujol, PhD Randy Gollub, MD, PhD Harvard Medical School

National Alliance for Medical Image Computing NA-MIC outreach activities at international conferences

National Alliance for Medical Image Computing Radiologists NA-MIC Workshop for Radiology residents, Brigham & Women’s Hospital, Boston, MA

National Alliance for Medical Image Computing Radiologists NA-MIC Workshop for Radiology residents, Brigham & Women’s Hospital, Boston, MA Hands-on training on 3D visualization of the Anatomy

National Alliance for Medical Image Computing Radiologists Task-oriented course on the liver segments RSNA 2009, Chicago, IL

National Alliance for Medical Image Computing Radiologists Task-oriented course on the liver segments RSNA 2009, Chicago, IL Course score on the RSNA evaluation form: 4.13/5.00

National Alliance for Medical Image Computing Neurosurgeons Hands-on training workshop in Image- Guided Therapy for neurosurgeons IBMISPS 2009 conference, Boston, MA A. Golby, N. Hata, H. Liu

National Alliance for Medical Image Computing Autism Researchers NA-MIC presentation at the annual meeting of the International Society for Autism Research IMFAR 2009, Chicago, IL “Use of the Slicer3 toolkit to produce regional cortical thickness measurements of pediatric MRI data “ Heather Cody et al., IMFAR 2009 H.Cody

National Alliance for Medical Image Computing Orthopedic Surgeons 3D Visualization Workshop for Image-guided Therapy applications in Orthopedic Surgery Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS 2009), Boston MA

National Alliance for Medical Image Computing Neuroscientists ‘Mapping the Brain with Diffusion Tensor Imaging’ One-day NA-MIC Workshop on DTI Analysis Annual Meeting of the Society for Neuroscience, SFN 2009, Chicago IL

National Alliance for Medical Image Computing Integration with CTSAs New partnership with the NIH NCRR funded Clinical Translational Science Awards (CTSAs) national Imaging Working Group

National Alliance for Medical Image Computing Integration with CTSAs New partnership with the NIH NCRR funded Clinical Translational Science Awards (CTSAs) national Imaging Working Group Greatly expands the end-user community exposure to the NA-MIC kit

National Alliance for Medical Image Computing Integration with CTSAs New partnership with the NIH NCRR funded Clinical Translational Science Awards (CTSAs) national Imaging Working Group Greatly expands the end-user community exposure to the NA-MIC kit Provides critical clinically relevant driving forces for new developments

National Alliance for Medical Image Computing Joint Workshop on Imaging Biomarkers Workshop on Quantitative Medical Imaging for Clinical Research and Practice - RSNA 2009, Chicago, IL

National Alliance for Medical Image Computing Joint Workshop on Imaging Biomarkers Workshop on Quantitative Medical Imaging for Clinical Research and Practice - RSNA 2009, Chicago, IL Course score on the RSNA evaluation form: 4.26/5.00

National Alliance for Medical Image Computing Joint Workshop on Imaging Biomarkers Workshop on Quantitative Medical Imaging for Clinical Research and Practice - RSNA 2009, Chicago, IL Course score on the RSNA evaluation form: 4.26/5.00 More than 100 attendees

National Alliance for Medical Image Computing New PET/CT Fusion Module PET/Fusion Module Programming &Tutorial: Wendy Plesniak, Ph.D. Special Thanks to Kathryn Hayes

National Alliance for Medical Image Computing Harvard Catalyst (CTSC) Jointly sponsored Slicer workshops delivered on a regular basis.

National Alliance for Medical Image Computing Harvard Catalyst (CTSC) Jointly sponsored Slicer workshops delivered on a regular basis. 1-hour hands-on training sessions on medical image analysis at Harvard Medical School

National Alliance for Medical Image Computing Tutorial Contests Winter Project Week 2009, Salt Lake City Summer Project Week 2009, Boston Winter Project Week 2010, Salt Lake City 17 new additions of tutorials and training datasets to the NA-MIC Compendium

National Alliance for Medical Image Computing NA-MIC Compendium NA-MIC Training Compendium & Workshops

National Alliance for Medical Image Computing NA-MIC Compendium 1595 tutorial slides on 27 different topics in medical image analysis

National Alliance for Medical Image Computing NA-MIC outreach activities : More than 900 scientists and clinicians trained by NA-MIC at national and international venues

NA-MIC National Alliance for Medical Image Computing DTI Tractography Validation Update Sonia Pujol, Ph.D. Harvard Medical School

National Alliance for Medical Image Computing DTI Validation Challenge Comparison of DTI tractography algorithms in the absence of ground truth

National Alliance for Medical Image Computing DTI Validation Challenge Comparison of DTI tractography algorithms in the absence of ground truth Evaluation of different DTI tractography approaches in the absence of common platform

National Alliance for Medical Image Computing Tractography errors Optic radiation Courtesy of Dr. JJ Lemaire Optic chiasm

National Alliance for Medical Image Computing Step1: Implementation of the Validation Framework GTRACT Iowa University Streamline BWH, Harvard Volumetric Connectivity SCI, Utah Fiber Tracking SCI, Utah 3D Slicer

National Alliance for Medical Image Computing Step 2: Implementation of the Validation Pipeline Warfield SK, Zou KH, Wells WM. Simultaneous Truth and Performance Level Estimation (STAPLE): An algorithm for the Validation of Image Segmentation. IEEE Trans Med Imaging. 23(7):

National Alliance for Medical Image Computing Step 3: Evaluation of the Validation Method Evaluation of the accuracy and precision of the validation framework in synthetic data experiments. STAPLE estimate tractography performances are accurate

National Alliance for Medical Image Computing Experiment 1: STAPLE Analysis applied to DTI Preliminary results on three different fascicles showed differences in sensitivity among algorithms. Internal Capsule A1: Fiber Tracking A2: 3DSlicer A3: GTract A4: Volumetric Connectivity

National Alliance for Medical Image Computing Abstract Presented at ISMRM 2009 Preliminary results on the use of STAPLE for evaluating DT-MRI tractography in the absence of ground truth S.Pujol, C-F Westin, R.Whitaker, G.Gerig, T.Fletcher, V.Magnotta, S.Bouix, R.Kikinis, W.Wells III, R.Gollub. ISMRM 2009, Apr , Honolulu, Hi

National Alliance for Medical Image Computing STAPLE Analysis applied to DTI Preliminary results showed differences in sensitivity among algorithms

National Alliance for Medical Image Computing STAPLE Analysis applied to DTI Preliminary results showed differences in sensitivity among algorithms Question: What is the statistical significance of the differences observed ?

National Alliance for Medical Image Computing Experiment 2: Statistical Analysis 25 DWI datasets

National Alliance for Medical Image Computing Experiment 2: Statistical Analysis The statistical analysis showed significant differences in sensitivity among 3D segmentations of the Arcuate Fasciculus by different algorithms Arcuate Fasciculus A1: Fast Marching A2: GTract A3: Streamline A4: Stochastic

National Alliance for Medical Image Computing Abstract presented at MICCAI 2009 DMFC Workshop Towards Validation of DTI Tractography: Statistical Analysis of the Differences Observed Among Tractography Algorithms S.Pujol, V.Magnotta, J.De Siebenthal, M.Kubicki, K.Hayes, C-F.Westin, JJ.Lemaire, R.Kikinis, R.L. Gollub, W.Wells III. MICCAI 2009, Sept , London, UK

National Alliance for Medical Image Computing DTI Validation Milestones Implementation of the validation framework Evaluation of the validation framework Preliminary DTI Tractography validation experiments Statistical Analysis of the differences observed among algorithms

National Alliance for Medical Image Computing DTI Validation Update