We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Researchers Develop Computer Simulation to Help Improve Radiation Therapy for Cancer Patients

By MedImaging International staff writers
Posted on 22 Mar 2015
Image: A linear accelerator used for radiation therapy (Photo courtesy of University of Arkansas).
Image: A linear accelerator used for radiation therapy (Photo courtesy of University of Arkansas).
A project to develop more effective radiation therapy treatments is underway.

The research was initiated at the University of Arkansas (Fayetteville, AR, USA) and further developed at the Sam M. Walton College of Business (Fayetteville, AR, USA). The study was published in the March issue of the Journal of Applied Clinical Medical Physics.

The researchers used repeated-sampling algorithms to develop a computer simulator that created customized electron beams using dual-foil scattering systems for radiation therapy. Linear accelerators create concentrated electron beams that destroy cancerous tumor cells, without damaging surrounding healthy tissue.

The simulations allow the user to rapidly design and optimize dual-scattering foil systems to improve cancer treatment, by varying primary and secondary scattering foil material and thickness.

Justin LeBlanc, doctoral fellow and researcher at the Sam M. Walton College of Business, said, "The user user-friendly interface and real-time nature of the simulator also make it an effective educational tool for gaining a better understanding of the effects that various system parameters have on dose profiles. In other words, it will help medical physicists and linear accelerator designers to better understand the physics behind the equipment with which they will be working."

Related Links:

University of Arkansas
Sam M. Walton College of Business


X-Ray Generator
Advantage Plus Generators
Half Apron
Demi
X-ray Diagnostic System
FDX Visionary-A
Silver Member
X-Ray QA Device
Accu-Gold+ Touch Pro

Channels

General/Advanced Imaging

view channel
Image: Example snapshots of the photon energy density at t = 0.5, 0.7, 0.9, 1.1 nanoseconds (ns) on the y = 2.0 cm plane (Horie, S., Yajima, H., Abe, M. et al., Biomedical Engineering Letters (2026). DOI: 10.1007/s13534-026-00578-9)

AI Tool Enables Real-Time Diffuse Optical Tomography for Brain Lesion Detection

Diffuse optical tomography is a noninvasive imaging technique that uses near-infrared light to detect internal abnormalities such as cerebral hemorrhage and tumors. Its clinical utility for real-time ... Read more

Industry News

view channel
Image: MIM KineticID is 510(k)-pending software for dynamic PET imaging and kinetic modeling, enabling time-based radiotracer analysis for clinical and research decisions (Photo courtesy of GE Healthcare)

GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026

Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.