Author profile
The University of Texas MD Anderson Cancer Center
To apply a proton procedure of optimizing spot weight and Ridge Filter (RF) to single-energy carbon pencil beam and evaluate it in a water phantom with a square-shape target in the center (prescription dose 50 Gy).
To develop an optimization procedure of spot weight and ridge filter (RF) dimension for single-energy proton pencil beam and apply it to a water phantom with a square-shape target in the center (prescription dose 50 Gy).
Common contour evaluation metrics(e.g., DSC or HD) provide global summaries that can miss localized, anisotropic disagreements that drive clinically meaningful edits. Although surface-DSC(SDSC) better reflects boundary discrepancies, it typically uses a subje...
Deep-learning (DL) auto-segmentation is routinely used clinically, yet domain shift and vendor model upgrades can change behavior in non-intuitive ways. We present a regression-testing framework to commission upgraded commercial auto-contouring models and to...
The primary objective of this study was to develop a generalized deep learning-based dose calculation engine capable of accurate, site-independent dose prediction. By utilizing a beamlet-based input strategy, we aimed to establish a computationally consistent...
To develop and validate a contour-regulated automated registration framework for correcting motion artifacts and aligning time-resolved scans in liver CT perfusion (CTp) series.
To evaluate the dosimetric performance and surface conformality of a commercially available brass mesh bolus (BMB) compared with 3 mm Superflab (SF) in clinically realistic scenarios where air gaps are expected, such as in patients with tissue expanders.