Abstract Organ-at-risk (OAR) delineation is a key step for cone-beam CT (CBCT) based
adaptive radiotherapy planning that can be a time-consuming, labor-intensive, and subject …

Adaptive radiotherapy (ART) is an advanced technology in modern cancer treatment that
incorporates progressive changes in patient anatomy into active plan/dose adaption during …

Abstract Magnetic Resonance Imaging (MRI) is increasingly being used in treatment
planning due to its superior soft tissue contrast, which is useful for tumor and soft tissue …

Generalizability is a concern when applying a deep learning (DL) model trained on one
dataset to other datasets. It is challenging to demonstrate a DL model's generalizability …

Purpose The delineation of organs at risk (OARs) is fundamental to cone‐beam CT (CBCT)‐
based adaptive radiotherapy treatment planning, but is time consuming, labor intensive, and …

A phantom is a highly specialized device, which mimic human body, or a part of it. There are
three categories of phantoms: physical phantoms, physiological phantoms, and …

Purpose We developed a deep learning model to achieve automatic multitarget delineation
on planning CT (pCT) and synthetic CT (sCT) images generated from cone-beam CT …

Purpose To assess clinically relevant image quality metrics (IQMs) of helical fan beam
kilovoltage (kV) fan beam computed tomography (CT). Methods and Materials kVCT IQMs …

Purpose: Organ-at-risk (OAR) delineation is a key step for cone-beam CT (CBCT) based
adaptive radiotherapy planning that can be a time-consuming, labor-intensive, and subject …

In the current spectrum of cancer treatments, despite high costs, a lack of robust evidence
based on clinical outcomes or technical and radiobiological uncertainties, particle therapy …