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Abstract #1774

A Quantitative Framework to Study MRI Related Treatment Changes in the Prostate Post-IMRT

Pallavi Tiwari1, John Kurhanewicz2, Anant Madabhushi1

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 2Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States

In this work, we present an image analysis framework to quantiatively evaluate changes in strucutral, functional, and metabolic markers (obtained via T2-w, DWI, MRS respectively) to (a) identify MRI markers that correlate the most with treatment related changes post-radiation therapy (RT) in prostate cancer (CaP) patients, and (b) compute a weighted MP-MRI map by optimally combining contributions of strucutral (T2-w), functional (DWI), metabolic (MRS) markers, based on their ability to accurately capturing post-RT changes.

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Keywords

ability absolute accuracy accurately affine annotations appropriate basis beam best better biomedical biopsy black cancer capture capturing choline cohort coil combining compute computed computing contributions correlate curve datasets defined definite delineated digital early engineering evaluated evaluates evaluating examination experience expert external findings focal framework functional generation ground heat hormonal identification identifies identify identifying in vivo individual initial intelligently intensities intensity john local magenta maps markers materials metabolic modulated mutual occurrence operating optimally optimization partially pathological patient patients post presence prostate protocols quantitative radiation radiology reading receiver rectal recurrence recurrent reflects register registered registration related report reserve residual respectively scheme step studies successful supplementary table terms therapy treatment truth underwent western years