Beams Eye View (BEV) is a revolutionary technology in radiotherapy that enables real-time anatomical imaging. This technology has been instrumental in enhancing treatment verification, adaptive radiotherapy, and in-treatment interventions. BEV systems are equipped with sophisticated detectors that capture detailed images of the treatment area, providing essential information for precise treatment planning and delivery.
BEV systems consist of advanced detectors and imaging software. These detectors are designed to capture high-resolution images of the treatment beam’s aperture and intensity in real-time. The imaging software processes these images to provide a comprehensive view of the treatment area, enabling healthcare professionals to make informed decisions about treatment adjustments.
BEV technology has numerous clinical applications in radiotherapy. It is primarily used for treatment verification, ensuring that the treatment beam accurately targets the tumor while sparing healthy tissues. BEV also facilitates adaptive radiotherapy, which involves adjusting the treatment plan in response to changes in the patient’s anatomy or the tumor. Additionally, BEV enables in-treatment interventions, such as real-time tracking of the tumor’s movement and adjusting the treatment beam accordingly.
Researchers are continually exploring new ways to enhance BEV technology. Some emerging innovations include target modifications, real-time tracking, reconstructing delivered dose, and in vivo portal dosimetry. These advancements aim to further improve the accuracy and effectiveness of radiotherapy treatments.
Ross I. Berbeco, PhD, is a board-certified medical physicist and Associate Professor of Radiation Oncology at the Dana-Farber Cancer Institute, Brigham and Women’s Hospital, and Harvard Medical School. He has extensive experience in the development and implementation of BEV technology in clinical settings.
Title: Beams Eye View in Radiotherapy: An Overview
Pages: 252
Publisher: CRC Press
Edition: 1st Edition
Publication Date: September 14, 2017
Language: English
ISBN-10: 1498736343
ISBN-13: 978-1498736343
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