‘Diffusion Tensor Imaging’

Assessment of Bias in MRI Diffusion Tensor Imaging Parameters Using SIMEX

Mar. 2, 2013—Carolyn B. Lauzon, Ciprian Crainiceanu, Brian C. Caffo, Bennett A. Landman, “Assessment of Bias in MRI Diffusion Tensor Imaging Parameters Using SIMEX”, Magnetic Resonance in Medicine. 2013 Mar 1;69(3):891-902. PMC22611000 † Full Text: https://www.ncbi.nlm.nih.gov/pubmed/22611000 Abstract: Diffusion tensor imaging enables in vivo investigation of tissue cytoarchitecture through parameter contrasts sensitive to water diffusion barriers at the...

Correcting Power and p-Value Calculations for Bias in Diffusion Tensor Imaging.

Mar. 2, 2013—Carolyn B. Lauzon and Bennett A. Landman, “Correcting Power and p-Value Calculations for Bias in Diffusion Tensor Imaging.” Magnetic Resonance Imaging. 2013 Mar 2. pii: S0730-725X(13) PMC23465764 † Full Text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Correcting+Power+and+p-Value+Calculations+for+Bias+in+Diffusion+Tensor+Imaging. Abstract: Diffusion tensor imaging (DTI) provides quantitative parametric maps sensitive to tissue microarchitecture (e.g., fractional anisotropy, FA). These maps are estimated through computational processes and...

Flowchart demonstrating the PACS-based Diffusion Tensor Imaging quality analysis framework. The framework begins by utilizing a PACS-based framework for acquiring a recently scanned target. Once the DTI image is acquired, standard pre-processing steps are performed for accounting for patient movement via an intra-subject rigid registration. Next, a whole image FA map and the multi-atlas segmentation process (using the pre-computed B0 atlases) are performed simultaneously in order to achieve the pertinent information about the current subject. Finally, structure-wise FA noise estimates are constructed using a wild-bootstrap estimation procedure.

Robust Inter-Modality Multi-Atlas Segmentation for PACS-based DTI Quality Control

Feb. 1, 2013—Andrew J. Asman, Carolyn B. Lauzon, Bennett A. Landman. “Robust Inter-Modality Multi-Atlas Segmentation for PACS-based DTI Quality Control.” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2013. Oral Presentation. † Full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3874255/ Abstract Anatomical contexts (spatial labels) are critical for interpretation of medical imaging content. Numerous approaches have been devised for...

Intra-voxel orientations estimated with in vivo data show patterns consistent with anatomy, which can be clearly appreciated in the region of the corpus callosum (cc) and internal capsule (ic).

“Resolution of Crossing Fibers with Constrained Compressed Sensing using Traditional Diffusion Tensor MRI”

Feb. 12, 2010—A. Landman, H. Wan, J. Bogovic, P.-L. Bazin, and J. L. Prince. “Resolution of Crossing Fibers with Constrained Compressed Sensing using Traditional Diffusion Tensor MRI”, In Proceedings of the SPIE Medical Imaging Conference. San Diego, CA, February 2010 (Oral Presentation) PMC2854412 Full text Abstract Diffusion tensor imaging (DTI) is widely used to characterize tissue micro-architecture...