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Abstract #0543

Integrated Registration and Harmonization Framework for Quantitative T2-weighted MRI Analysis following Prostate Cancer Radiotherapy

Evangelia I. Zacharaki1, Adrian L. Breto 1, Ahmad Algohary 1, Veronica M. Wallaengen1, Sanoj Punnen 1, Matthew C. Abramowitz 1, Alan Pollack1, and Radka Stoyanova1
1University of Miami, Miami, FL, United States

Synopsis

Keywords: Data Processing, Quantitative Imaging, Prostate Cancer

Motivation: The reliable evaluation of T2-weighted MRI (T2w) signal change in prostate cancer following radiotherapy (RT) is challenging due to deformations (physiological and RT-related) and scanner/protocol acquisition variability.

Goal(s): To develop an automated and reproducible methodology for quantification of T2w signal change in longitudinal studies following RT.

Approach: The methodology includes T2w image intensity harmonization and deformable registration of post-RT to pre-RT images for automated detection of prostate, peripheral zone and tumor volume.

Results: The repeatability in T2w intensity estimation improved following the automatic registration relative to manual contours; and the quantitative changes of T2w reached significance when pre- and post-RT series were compared.

Impact: The developed methodology allows to automatically detect ROIs in post-RT MRI exams, reduces data acquisition-related variation and improves imaging features’ repeatability, thereby enables the quantitative characterization of RT-induced changes in T2w.

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