Abstract

Diffusion-tensor MRI (DT-MRI) images can be used to obtain information about the microstructure of tissues. The differences in the water diffusion properties of gray matter and white matter in the brain demonstrate a unique source of image contrast, which also has an orientation component corresponding to the direction of axon tracts in white matter anatomy. In this project, novel DT-MRI acquisition techniques will be developed and evaluated for their capacity to decrease noise sensitivity, improve spatial resolution, and minimize image distortion. The diffusion tensor magnitude, shape and orientation of normal brain tissues will be estimated from DT-MRI measurements taken from a set of volunteer studies. These estimates of the tensor properties for normal brain tissues will be used to design a white matter segmentation algorithm. The segmentation algorithm will then be applied to the study of a group of patients with brain tumors. Intraoperative mapping of the cortex and deep white matter will be used to estimate the accuracy of the segmentation. The directional information of the diffusion tensor will also be used in the development of algorithms that will be used to estimate the likely paths of axon fiber bundles. The influences of measurement noise and partial volume effects on axon tracking accuracy and precision will be examined. DT-MRI white matter segmentation will be combined with fMRI images of cortical activation to provide maps of the functional anatomy. Images of the functional anatomy will be created from studies of patients with primary intracranial tumors and the relationship of the tumor location to the functional anatomy will be correlated with the neurological symptoms. Finally, the limitations of the diffusion tensor model accuracy, as a function of mixed tissue components and crossing axons in a single voxel, will be investigated. A new model of tissue diffusion with two tensor components will be evaluated. This project is a comprehensive approach to improving the accuracy and understanding of white matter mapping techniques within in the human brain.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH062015-03
Application #
6392852
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Huerta, Michael F
Project Start
2000-07-01
Project End
2004-06-30
Budget Start
2001-07-01
Budget End
2002-06-30
Support Year
3
Fiscal Year
2001
Total Cost
$274,677
Indirect Cost

  Institution

Name
University of Wisconsin Madison
Department
Pediatrics
Type
Other Domestic Higher Education
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715

  Publications

Kodiweera, Chandana; Alexander, Andrew L; Harezlak, Jaroslaw et al. (2016) Age effects and sex differences in human brain white matter of young to middle-aged adults: A DTI, NODDI, and q-space study. Neuroimage 128:180-192
Hoy, Andrew R; Kecskemeti, Steven R; Alexander, Andrew L (2015) Free water elimination diffusion tractography: A comparison with conventional and fluid-attenuated inversion recovery, diffusion tensor imaging acquisitions. J Magn Reson Imaging 42:1572-81
Hosseinbor, A Pasha; Chung, Moo K; Wu, Yu-Chien et al. (2013) Bessel Fourier Orientation Reconstruction (BFOR): an analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices. Neuroimage 64:650-70
Adluru, Nagesh; Hanlon, Bret M; Lutz, Antoine et al. (2013) Penalized likelihood phenotyping: unifying voxelwise analyses and multi-voxel pattern analyses in neuroimaging: penalized likelihood phenotyping. Neuroinformatics 11:227-47
Hosseinbor, A Pasha; Chung, Moo K; Wu, Yu-Chien et al. (2013) A 4D hyperspherical interpretation of q-space. Med Image Comput Comput Assist Interv 16:501-9
Adluru, Nagesh; Zhang, Hui; Tromp, Do P M et al. (2013) Effects of DTI spatial normalization on white matter tract reconstructions. Proc SPIE Int Soc Opt Eng 8669:
Willette, Auriel A; Coe, Christopher L; Colman, Ricki J et al. (2012) Calorie restriction reduces psychological stress reactivity and its association with brain volume and microstructure in aged rhesus monkeys. Psychoneuroendocrinology 37:903-16
Adluru, Nagesh; Zhang, Hui; Fox, Andrew S et al. (2012) A diffusion tensor brain template for rhesus macaques. Neuroimage 59:306-18
Hosseinbor, A Pasha; Chung, Moo K; Wu, Yu-Chien et al. (2012) Extracting quantitative measures from EAP: a small clinical study using BFOR. Med Image Comput Comput Assist Interv 15:280-7
Adluru, Nagesh; Singh, Vikas; Alexander, Andrew L (2012) ADAPTIVE CUTS FOR EXTRACTING SPECIFIC WHITE MATTER TRACTS. Proc IEEE Int Symp Biomed Imaging 2012:

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