R
Radhe Mohan
Researcher at University of Texas MD Anderson Cancer Center
Publications - 596
Citations - 34989
Radhe Mohan is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Proton therapy & Radiation therapy. The author has an hindex of 102, co-authored 564 publications receiving 32138 citations. Previous affiliations of Radhe Mohan include University of Texas Health Science Center at Houston & Carleton University.
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Acquiring a four-dimensional computed tomography dataset using an external respiratory signal.
TL;DR: The aims of this research were to develop a method to acquire 4D CT images from a spiral CT scan using an external respiratory signal and to examine the potential utility of4D CT imaging.
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Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system.
Jerry L. Barker,Adam S. Garden,K. Kian Ang,Jennifer O'Daniel,He Wang,Laurence E. Court,William H. Morrison,David I. Rosenthal,K.S.Clifford Chao,Susan L. Tucker,Radhe Mohan,Lei Dong +11 more
TL;DR: Measurable anatomic changes occurred throughout fractionated external beam RT for head-and-neck cancers, and these changes in the external contour, shape, and location of the target and critical structures appeared to be significant during the second half of treatment (after 3-4 weeks of treatment) and could have potential dosimetric impact when highly conformal treatment techniques are used.
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Validation of an accelerated 'demons' algorithm for deformable image registration in radiation therapy.
He Wang,Lei Dong,Jennifer O'Daniel,Radhe Mohan,Adam S. Garden,K. Kian Ang,Deborah A. Kuban,M. Bonnen,Joe Y. Chang,Rex Cheung +9 more
TL;DR: The results suggest that the accelerated demons algorithm has significant potential for delineating and tracking doses in targets and critical structures during CT-guided radiotherapy.
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Motion adaptive x-ray therapy: a feasibility study.
TL;DR: The concept and feasibility of MAX-T and the capability of the treatment machine to deliver such a treatment were investigated by performing measurements for uniform and IMRT fields using a mechanical sinusoidal oscillator to simulate target motion.
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Histogram reduction method for calculating complication probabilities for three-dimensional treatment planning evaluations.
TL;DR: A method of calculating complication probabilities for inhomogeneously irradiated normal tissues is presented, using examples from an NCI 3-D treatment planning contract.