Deep residual fully connected neural network classification of Compton camera based prompt gamma imaging for proton radiotherapy
Proton beam radiotherapy is a method of cancer treatment that uses proton beams to irradiate cancerous tissue, while minimizing doses to healthy tissue. In order to guarantee that the prescribed radiation dose is delivered to the tumor and ensure that healthy tissue is spared, many researchers have...
Main Authors: | Carlos A. Barajas, Jerimy C. Polf, Matthias K. Gobbert |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-02-01
|
Series: | Frontiers in Physics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2023.903929/full |
Similar Items
-
Applications of Machine Learning to Improve the Clinical Viability of Compton Camera Based in vivo Range Verification in Proton Radiotherapy
by: Jerimy C. Polf, et al.
Published: (2022-04-01) -
Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring
by: Ingrid Valencia Lozano, et al.
Published: (2023-05-01) -
Detector conceptual design and image reconstruction of a compton
camera system used for verification of proton beam dose distribution
during proton therapy
by: Sh Ghafari, et al.
Published: (2019-11-01) -
Review of Compton camera imaging technology development
by: WU Chuanpeng, et al.
Published: (2021-05-01) -
Development and Applications of Compton Camera—A Review
by: Raj Kumar Parajuli, et al.
Published: (2022-09-01)