National Alliance for Medical Image Computing Core 3-1.2 DBP Dartmouth Data NA-MIC National Alliance for Medical Image Computing

Slides:



Advertisements
Similar presentations
MR Driving license course Day 2 – Buttonology
Advertisements

Magnetic Resonance Imaging
ESTIMATION OF PLACENTA FUNCTION USING T 2* MEASUREMENTS DURING HYPER- AND NORMOXIA May 9 th, 12 am, Computer no 73 Mother + O 2 mask Mother w/o mask 4142.
Memory Tasks Performance Correlates with Hippocampal Volume in amnestic MCI but not in Healthy Subjects – Some Preliminary Findings. Mario Baglivo 1),
Clinical Evaluation of Fast T2-Corrected MR Spectroscopy Compared to Multi-Point 3D Dixon for Hepatic Lipid and Iron Quantification Puneet Sharma 1, Xiaodong.
Section 1 fMRI for Newbies
Methods Protocol: Previous studies [1, 2] have involved imaging of only a single central slice of the brain. The present study used a similar paradigm,
Dealing with patients… jenny crinion adam liston.
Slicer Welcome Tutorial
National Alliance for Medical Image Computing Core 3-1 Schizophrenia NA-MIC National Alliance for Medical Image Computing
Core Dartmouth Activities Andrew J. Saykin, Psy.D., ABPP-CN John D. West, M.S. Robert M. Roth, Ph.D. Brain Imaging Laboratory Dartmouth Medical School.
DTI-Based White Matter Fiber Analysis and Visualization Jun Zhang, Ph.D. Laboratory for Computational Medical Imaging & Data Analysis Laboratory for High.
Activation of the Visual Word Form Area in Dyslexic Readers: A Research Proposal Jennifer Geiss.
Public Health Julie C. Chapman, PsyD Director of Neuroscience War Related Illness & Injury Study Center Veterans Affairs Medical Center, Washington, DC.
Diffusion Tractography of the Fornix in Male Schizophrenic Patients Background: White matter fiber tracts, especially those interconnecting the frontal.
Orbitofrontal Cortex Abnormalities in Bipolar Disorder Adolescents. Pablo Najt Department of Psychiatry, University of Texas, Health Science Center at.
Ultra-High-Resolution Skin Imaging at 7 T with Motion Correction and Fat/Water Separation Presentation: 1:30pm # Electrical Engineering,
Model-based Automatic AC/PC Detection on Three-dimensional MRI Scans Babak A. Ardekani, Ph.D., Alvin H. Bachman, Ph.D., Ali Tabesh, Ph.D. The Nathan S.
NA-MIC National Alliance for Medical Image Computing Interactive Editor tutorial Sonia Pujol, Ph.D. Surgical Planning Laboratory Harvard.
All Hands Meeting 2005 Human Morphometry and Function BIRN Testbeds Christine Fennema-Notestine, Ph.D. Jessica Turner, Ph.D. CBiO/BIRN Workshop 2006.
Susceptibility Induced Loss of Signal: Comparing PET and fMRI on a Semantic Task Devlin et al. (in press)
Basics of Functional Magnetic Resonance Imaging. How MRI Works Put a person inside a big magnetic field Transmit radio waves into the person –These "energize"
Development Virtual Environments for fMRI Socially to Interact with a virtual avatar ; a pilot study Hyeongrae, Lee Dept. of Biomedical Engineering, Hanyang.
SLICER: Initial Experience at Dartmouth Tara McHugh, M.A. Robert Roth, Ph.D. Brain Imaging Laboratory Dartmouth Medical School / DHMC NA-MIC National Alliance.
NA-MIC National Alliance for Medical Image Computing Dartmouth Brain Imaging Laboratory & Indiana University Center for Neuroimaging.
ASNR 2015 Poster# EP-19 Effect of Chemotherapy on Brain Structure and Cognition in Older Women with Breast Cancer: a Brain MRI Study 1 Bihong T. Chen MD.
Ramifications of Isotropic Sampling and Acquisition Orientation on DTI Analyses David H. Laidlaw 1, Song Zhang 1, Mark Bastin 2,3, Stephen Correia 4, Stephen.
Human perception and recognition of metric changes of part-based dynamic novel objects Quoc C. Vuong, Johannes Schultz, & Lewis Chuang Max Planck Institute.
-- Results There was a significant relationship between disease severity (FSRP) and measures of FA in the internal capsule (p
Tract-Based Spatial Statistics of Diffusion Tensor Imaging in Adult Dyslexia Todd Richards 1, Jeff Stevenson 1, James Crouch 2, L. Clark Johnson 3, Kenneth.
Our group recently reported that cerebral cortical development, specifically within aspects of vmPFC, is related to anxious/depressed problems in typically.
NA-MIC National Alliance for Medical Image Computing National Alliance for Medical Image Computing: NAMIC Ron Kikinis, M.D.
Neuroinformatics challenges in MRI data integration Hugo Schnack Rudolf Magnus Institute of Neuroscience Department of Psychiatry University Medical Centre.
Medical Image SBIA.UPenn Christos Davatzikos Director, Section of Biomedical Image Analysis Professor, Radiology,
National Alliance for Medical Image Computing Core What We Need from Cores 1 & 2 NA-MIC National Alliance for Medical Image Computing.
NA-MIC National Alliance for Medical Image Computing Mental Illness and Neuroscience Discovery (MIND) Consortium Data Randy L. Gollub,
CONCLUSIONS Time Courses of fMRI Activations Spanning The Stimulus-Response Interval During Word Generation By Nonfluent Aphasics C. Ashley Orynich 1,5,
NA-MIC National Alliance for Medical Image Computing fMRI Data Analysis in Slicer (short dataset tutorial) Steve Pieper Haiying Liu Wendy.
Conclusions Simulated fMRI phantoms with real motion and realistic susceptibility artifacts have been generated and tested using SPM2. Image distortion.
INTRODUCTION ADULT AGE DIFFERENCES IN THE HEMODYNAMIC RESPONSE DURING VISUAL TARGET DETECTION MEASURED BY FUNCTIONAL MRI David J. Madden 1, Scott A. Huettel.
Integrity of white matter in the corpus callosum correlates with bimanual co-ordination skill Heidi Johansen-Berg 1, Valeria Della-Maggiore 3, Steve Smith.
NA-MIC National Alliance for Medical Image Computing A longitudinal study of brain development in autism Heather Cody Hazlett, PhD Neurodevelopmental.
Surgical Planning Laboratory -1- Brigham and Women’s Hospital 3DSlicer Hands-on session Sonia Pujol, Ph.D.
DTI Acquisition Guide Donald Brien February 2016.
Joji Nishimura1, Shingo Kakeda1, Osamu Abe2, Reiji Yoshimura3, Junji Moriya1, Naoki Goto3, Hikaru Hori3, Norihiro Ohnari1, Toru Sato1, Shigeki Aoki4, Kuni.
A FMRI Episodic Memory Study A longitudinal protocol in 31 patients presenting with early memory complain F. Gelbert C. Belin, A.M. Ergis, C. Moroni, C.
COMPARATIVE LATERALIZING ABILITY of MULTIMODALITY MR IMAGING in TEMPORAL LOBE EPILEPSY ¹ Karabekir Ercan, M.D. ¹ ¹ H.Pinar Gunbey, M.D. ¹ ¹ Elcin Zan,
TZAROUCHI LC 1, TSIFETAKI N 2, KONITSIOTIS S 3, ASTRAKAS LG 4, ZIKOU AK 1, ΒΟTZORIS V 2, DROSOS A 2, ARGYROPOULOU MI 1 Diffusion Tensor Imaging and T 2.
National Alliance for Medical Image Computing Volumetric Studies.
AzM Radiologie Jan T. Wilmink, neuroradiologist MRI Centre The Netherlands MR myelography in patients with radicular pain: diagnostic value and technique.
Core Dartmouth Activities Andrew J. Saykin, Psy.D., ABPP-CN John D. West, M.S. Robert M. Roth, Ph.D. Brain Imaging Laboratory Dartmouth Medical School.
NA-MIC National Alliance for Medical Image Computing NAMIC Core 3.1 Overview: Harvard/BWH and Dartmouth Structural and Functional Connectivity.
Regionally Specific Atrophy Following Traumatic Brain Injury DG MCLAREN, BB BENDLIN, and SC JOHNSON University of Wisconsin—Madison & GRECC, Madison VA.
Parameters which can be “optimized” Functional Contrast Image signal to noise Hemodynamic Specificity Image quality (warping, dropout) Speed Resolution.
INFLUENCE OF FRACTIONAL ANISOTROPY THRESHOLD FOR TRACT BASED DIFFUSION TENSOR ANALYSIS OF UNCINATE FASCICLES IN ALZHEIMER DISEASE Toshiaki Taoka, Toshiaki.
BOLD functional MRI Magnetic properties of oxyhemoglobin and deoxyhemoglobin L. Pauling and C. Coryell, PNAS USA 22: (1936) BOLD effects in vivo.
Naama Barnea-Goraly, MD; Linda J. Lotspeich, MD; Allan L. Reiss, MD 認知所 碩一 陳彥州 1.
Surgical Planning Laboratory -1- Brigham and Women’s Hospital Slicer Tutorial 4 Module: DTMRI Data: Sample Slicer DTI Sonia Pujol,
FMRI data acquisition.
RESULTS AND DISCUSSION
M. Frascaroli, L. Moro. , L. Sibilla, M. Baldi, I. Carne. , D
A longitudinal study of brain development in autism
Core 3-1 Schizophrenia NA-MIC
Results: Behavioral Performance Area and Laterality of activation
OBLIQUE AXIAL ALONG TANDEM
Neuroimaging Schizophrenia and Related Disorders
Slice thickness: 5–6mm Slice gap: 20% of slice thickness (!1–1.2mm or factor 1.2) Matrix: 512 FOV: 220–240mm Saturation slab: parallel to the slices,
Interactive Editor tutorial
Sequential images from a single patient’s three-step clinical AC-PC protocol.A, Coronal FGRE localizer image (6/1.6; flip angle, 20°; section thickness,
Presentation transcript:

National Alliance for Medical Image Computing Core DBP Dartmouth Data NA-MIC National Alliance for Medical Image Computing Brain Imaging Laboratory Departments of Psychiatry and Radiology, Dartmouth Medical School Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire New Hampshire Hospital, Concord, New Hampshire

National Alliance for Medical Image Computing Sample of six healthy controls with complete multi-modality data series (GE 1.5T LX scanner): - SPGR T1-weighted Volume and T2 Axial Series - Diffusion Tensor Series - Functional MRI Recognition Task Goal: provide template for reading DHMC data formats and test of de-identification and upload Initial Dartmouth MRI Data Set

National Alliance for Medical Image Computing Raw MRI Data: SPGR T1 Volume Acquisition plane: coronal Slice Thickness:1.5 mm (no skip) Number of Slices:124 TR:25 ms TE:3 ms (min) FOV:24 cm NEX:1 Scan Matrix:256 x 256 Image Matrix:256 x 256 Voxel Dim: x x 1.5 mm Acquisition Time:10 min 18 sec Format:DICOM

National Alliance for Medical Image Computing Raw MRI Data: T2 Series Acquisition plane: axial Slice Thickness:3.0 mm (no skip) Number of Slices:48 TR:3000 ms TE:25 ms FOV:24 cm NEX:1 Scan Matrix:256 x 256 Image Matrix:256 x 256 Voxel Dim: x x 3.0 mm Acquisition Time:4 min 12 sec Format:DICOM

National Alliance for Medical Image Computing Raw MRI Data: DTI Series Acquisition: Single-shot spin-echo EPI Acquisition Plane: axial Slice Thickness:3 mm (no skip) Number of Slices:36 TR / TE / NEX:8000 ms / minimum / 4 FOV:24 cm Scan Matrix:128 x 128 Image Matrix (Vox Dim):256 x 256 ( x x 3) Number of Diffusion Directions:12 (plus 2 w/o diffusion) Diffusion Weighting (b-value)800 s/mm 2 Total Number of Images:504 (14 images per slice) Acquisition Time:7 min 28 sec Formats:DICOM & post-processed

National Alliance for Medical Image Computing Raw MRI Data: fMRI Time Series Task: Auditory-Verbal Event-Related Recognition (ER-RECOG) Acquisition Sequence: single shot gradient echo EPI Acquisition Plane: sagittal (interleaved) Slice Thickness:5 mm (no skip) Number of Slices:29 TR / TE / FA / NEX:2500 ms / 40 ms / 90 / 1 FOV:24 cm Scan Matrix:64 x 64 Image Matrix (Vox Dim)64 x 64 (3.75 x 3.75 x 5 mm) Repetitions:144 Acquisition Time:6 min. Reconstruction:off-line using epirecon (P file) Preprocessing:Analyze format, then SPM99

National Alliance for Medical Image Computing Dartmouth Data: Plans & Next Steps Advanced Imaging Center: Philips Achieva 3Ts (4/05 & 9/05) Schizophrenia Data Sets - SPGR volumes - Labeled frontal subregions - Labeled hippocampus - fMRI Semantic activation Healthy Controls - Larger series - Multiple modalities (fMRI, DTI) - Labeled medial temporal regions Data from other clinical populations: bipolar, PTSD, MCI/AD

National Alliance for Medical Image Computing Hippocampal Shape Analysis A. The hippocampus was manually traced in an oblique coronal plane along its long axis with reference to markers placed in orthogonal sections. C. Surface renderings of the 3D model of the symmetric hippocampal template in several arbitrary rotations reflect shape information. B. Orthogonal views of the hippocampal template. A 3D ROI was constructed for each subject’s hippocampi. All ROIs were registered and scaled to a standard volume and then warped to the template. Saykin et al, NeuroImage 13(6): S1096

National Alliance for Medical Image Computing FA Map registered to SPGR volume Segmented SPGR T1 volume SPGR T1 volume Example: DTI and SPGR-Registered

National Alliance for Medical Image Computing fMRI of Normal Memory Circuitry Working Memory: 2-back TaskSemantic Memory: Category and Function Exemplar Tasks Johnson et al, Aging, Neuropsychology & Cognition (2001) McAllister et al, Neurology (1999)

National Alliance for Medical Image Computing Clinical fMRI Studies of Memory Example of neuropharmacological application of fMRI. Treatment by group interaction in MCI patients after donepezil McDonald & Saykin (in press)Saykin et al, Brain, July 2004

National Alliance for Medical Image Computing Rules for accessing and using the data Documented IRB training (human subject protection) Data sharing (do not transfer data to other people) Data source study/publication acknowledgement Grant acknowledgements -NIGHS/NI - U54 GM to Ron Kikinis -NIH – R01 AG19771 and R01 CA to Saykin for healthy control data -NARSAD grants to Flashman and Saykin for schizophrenia data* * upload pending Contact us for help with any questions