Ara Alexandrian, PhD, MS

The increase of prostheses in patients throughout the years has resulted in different strategies to alleviate streaking artifacts in CT scans that obscure nearby anatomy and complicate treatment planning. Manual density overrides can be time-intensive while a...

To develop and implement an automated quality assurance application for radiation therapy treatment plan verification following AAPM TG-275 guidelines, enabling comprehensive comparison between Elekta Monaco treatment planning system (TPS) and MOSAIQ oncology...

Daily anatomical changes can invalidate the geometric, dosimetric, and biological assumptions of reference treatment plans. Quantitative evidence describing fraction-level deviations across disease sites remains limited, and adaptive workflows are often drive...

Low muscle quantity, defined by computed tomography (CT)-based skeletal muscle index (SMI), is emerging as a predictor of clinical outcomes in patients with HNC. This study aims to evaluate whether CT-defined SMI is associated with all-cause mortality in pati...

Dose prediction models operate in the CT dose domain and require a conventional optimization step to translate the predicted dose into deliverable parameters in beam’s-eye view (BEV). To address the taxing direct aperture optimization (DAO) process, directly...

Failure Mode and Effects Analysis (FMEA) is the standard for proactive risk management in radiation therapy under AAPM TG-100 guidelines, yet traditional implementation can exceed 100 hours per process and shows significant inter-rater variability. This work...