scispace - formally typeset
K

Khader M. Hasan

Researcher at University of Texas Health Science Center at Houston

Publications -  183
Citations -  11249

Khader M. Hasan is an academic researcher from University of Texas Health Science Center at Houston. The author has contributed to research in topics: Diffusion MRI & Fractional anisotropy. The author has an hindex of 57, co-authored 175 publications receiving 10234 citations. Previous affiliations of Khader M. Hasan include University of Utah & University of Texas Health Science Center at San Antonio.

Papers
More filters
Journal ArticleDOI

Analysis of partial volume effects in diffusion‐tensor MRI

TL;DR: A partial volume model of MRI signal behavior for two diffusion‐tensor compartments is presented andSimulations using this model demonstrate that the conventional single diffusion tensor model could lead to highly variable and inaccurate measurements of diffusion behavior.
Journal ArticleDOI

White matter tractography using diffusion tensor deflection.

TL;DR: Simulations show that the deflection term is less sensitive than the major eigenvector to image noise and is promising for mapping the organizational patterns of white matter in the human brain as well as mapping the relationship between major fiber trajectories and the location and extent of brain lesions.
Journal ArticleDOI

Diffusion-tensor imaging of white matter tracts in patients with cerebral neoplasm.

TL;DR: Diffusion-tensor imaging allowed for visualization of white matter tracts and was found to be beneficial in the surgical planning for patients with intrinsic brain tumors and indicates that anatomically intact fibers may be present in abnormal-appearing areas of the brain.
Journal ArticleDOI

Neuroinflammation, oxidative stress, and the pathogenesis of Parkinson’s disease

TL;DR: Research from others and their own laboratories seek to harness such inflammatory processes with the singular goal of developing therapeutic interventions that positively affect the tempo and progression of human disease.
Journal ArticleDOI

Comparison of gradient encoding schemes for diffusion-tensor MRI

TL;DR: It is indicated that there is no significant advantage to using more than six encoding directions as long as an optimum encoding is used for six directions, and a previously described heuristic encoding scheme was found to be optimum.