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DtiStudio

DtiStudio. Susumu Mori Johns Hopkins University. Overall direction of DTI research. Smaller b (<1,200), fewer directions (<30), 2mm, 5 min. Tensor calculation. DWIs. Larger b (> 3,000), more directions (>60), lower resolution, longer time. High Angular-Resolution Diffusion Imaging.

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DtiStudio

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  1. DtiStudio Susumu Mori Johns Hopkins University

  2. Overall direction of DTI research Smaller b (<1,200), fewer directions (<30), 2mm, 5 min Tensor calculation DWIs Larger b (> 3,000), more directions (>60), lower resolution, longer time High Angular-Resolution Diffusion Imaging

  3. Overall direction of DTI research Smaller b (<1,200), fewer directions (<30), 2mm, 5 min Tensor calculation DWIs

  4. Overall direction of DTI research Smaller b (<1,200), fewer directions (<30), 2mm, 5 min Tensor calculation DWIs • Automated and quantitative quality control pipeline • Fully automated cloud-based web-based pipeline • Integration of image quantification schemes • Dynamic programming for fiber tracking • Automated fiber tracking

  5. DtiStudio

  6. How DTI studies could go wrong Motion Registration Eddy-current distortion Motion monitoring Eddy current monitoring Outlier pixels (dropout, ghost) Slice rejection Pixel rejection

  7. Motion monitoring

  8. Non-physiological motion

  9. Eddy current monitoring

  10. Importance of tensor fitting quality

  11. Images that CAN’T be registered

  12. Outlier rejection c d a b e f g h k l i j

  13. Population report Matlab code Original image Select subject to show results After registration Artifact masked

  14. MriStudio Pipeline DtiStudio DWIs DiffeoMap RoiEditor 254 structures

  15. Example of multi-modal analysis

  16. Automated pipeline Read DICOM data Tensor calculation QC report Save images Scalar map calculation Skull-strip Save images Linear registration Atlas-based parcellation Save tables

  17. Database solution Initiate image analysis pipeline Specify the data for analysis Results become available Calculation starts

  18. Fiber tracking: path-generation Automated parcellation of the brain

  19. Fiber tracking: path-generation

  20. Overall direction of DTI research Smaller b (<1,200), fewer directions (<30), 2mm, 5 min Tensor calculation DWIs • Automated and quantitative quality control pipeline • Fully automated cloud-based web-based pipeline • Integration of image quantification schemes • Dynamic programming for fiber tracking • Automated fiber tracking

  21. Acknowledgment • Program development • Hangyi Jiang • Xin Li • Server implementation • Anthony Kolasny • Can Ceritoglu • Bill Schneider • Quantification module • Michael Miller • Yue Li • Xiaoying Tang • Atlas generation • Kenichi Oishi • AnderiaFaria

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