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Johns Hopkins University Center for Imaging Science 2006 Summary
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JHU CIS Summary Highlights Morphometry BIRN Large Deformation Diffeomorphic Metric Mapping Suite (LDDMM) volume, surface, similitude, landmark, DTI Semi-Automated Shape Analysis pipeline TeraGrid/Cluster processing Large Distributed Storage paradigms Large scale visualization through Paraview Statistical Analysis using workflows and portal technologies DTI Summary Mouse BIRN Collaboration Applying Shape Analysis processing to FragileX study
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Large Deformation Defomorphic Metric Mapping (LDDMM) Suite Expanded suite of LDDMM - volume, surface, similitude, landmarks and DTI Improved Documentation and Tutorial Website Improved portability of software allowing for utilization on clusters and the TeraGrid
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Mathematical Morphometry Project MGH Segmentation Data Donor Sites De-identification And upload JHU CIS-KKI Shape Analysis LDDMM Storage BWH Visualization 1 2 3 4 TeraGrid Supercomputing Goal: comparison and quantification of structures’ shape and volumetric differences across patient populations Mathematical Morphometry Project LDDMM-MDS-LDA 5 6 JHU Statistical Analysis MDS-LDA
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TeraGrid/Cluster Processing 40,800 LDDMM-volume processed jobs 244,824 cpu/hrs of processing (~27 cpu/yrs) 40 TeraBytes of storage
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Collaborative Storage Resources Storage Resources TeraGrid Storage Solution: GPFS-WAN 220TB BIRN Storage Solution: SRB Local Filesystem sshfs gluing GPFS-WAN and Local Filesystem
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Visualization We have 40TB of data to Visualize Paraview provides the needed tools to make this happen for: movie generation deformation verification batch processing supported on TeraGrid
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Statistical Analysis We are currently using Rweb for statistical analysis processing. Workflows continue to be explored for refining the analysis processing.
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DTI Summary I: Tractography reproducibility 0 0.2 0.4 0.6 0.8 1 1.2 Cingulum Corticospinal tract Anterior thalamic radiation Superior long. fasciculus Inferior long. fasciculus Inferior frontocc. fasciculus Uncinate fasciculus Intra-rater Inter-rater Almost perfect Substantial Moderate Fair We tested reproducibility of tractography by performing multisite inter-rater reproducibility tests for 11 major white matter tracts. Substantial reproducibility was observed for the protocol developed under this project. Paper was submitted and under revision.
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DTI Summary II: Distortion correction for DTI Image distortion (a: non distorted T1-weighted image, b: DTI with distortion) was corrected by landmark- based LDDMM (c) and compared with SPM (d: intensity-based, e: segmentation-based). The LDDMM-based correction could undistort the image smoothly (f) and quantify the distortion by Jacobian (g). Although the segmentation-based SPM could correct the distortion (e), the transformation contains severe discontinuity (h), which may cause DTI calculation errors. Paper is in preparation.
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DTI Summary III: DTI data acquisition Effect of SNR Effect of gradient orientation Effect of SNR and the number of gradient orientations were examined. A DTI database with 15 repeated measurements x 3 scan sessions was created, which allows us to study the effect of SNR and various gradient orientation schemes. Two papers were submitted.
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DTI Summary IV: Database sharing With the help from BIRN, 60-subject normal database and probabilistic maps obtained in JHU are being disseminated.
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