Deep learning-based protoacoustic signal denoising for proton range verification.

Protons Radiotherapy Dosage Deep Learning Proton Therapy / methods Radiotherapy Planning, Computer-Assisted / methods
Bragg peak deep learning protoacoustic signal denoising stack auto-encoder

Journal

Biomedical physics & engineering express
ISSN: 2057-1976
Titre abrégé: Biomed Phys Eng Express
Pays: England
ID NLM: 101675002

Informations de publication

Date de publication:
12 05 2023
Historique:
received: 06 03 2023
accepted: 04 05 2023
medline: 15 5 2023
pubmed: 5 5 2023
entrez: 4 5 2023
Statut: epublish

Résumé

Proton therapy is a type of radiation therapy that can provide better dose distribution compared to photon therapy by delivering most of the energy at the end of range, which is called the Bragg peak (BP). The protoacoustic technique was developed to determine the BP locations

Identifiants

DOI: 10.1088/2057-1976/acd257 PMID: 37141867
pubmed: 37141867
doi: 10.1088/2057-1976/acd257
doi:

Substances chimiques

Protons 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIBIB NIH HHS
ID : R56 EB033332
Pays : United States

Informations de copyright

Creative Commons Attribution license.

Auteurs

Jing Wang (J)

Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
ORCID: 0000-0003-1618-2016

James J Sohn (JJ)

Department of Radiation Oncology, Northwestern University, Chicago IL, United States of America.

Yang Lei (Y)

Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.

Wei Nie (W)

Radiation Oncology Division, Inova Schar Cancer Institute, Fairfax, VA, United States of America.

Jun Zhou (J)

Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.

Stephen Avery (S)

Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, United States of America.

Tian Liu (T)

Department of Radiation Oncology, Mount Sinai Medical Center, New York, NY 10029, United States of America.

Xiaofeng Yang (X)

Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
ORCID: 0000-0001-9023-5855

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Classifications MeSH

questionsmedicales.fr › Phénomènes physiques › Particules élémentaires › Nucléons › Protons › Deep learning-based protoacoustic signal...
questionsmedicales.fr › Thérapeutique › Radiothérapie › Dosimétrie en radiothérapie › Deep learning-based protoacoustic signal...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › Apprentissage profond › Deep learning-based protoacoustic signal...
questionsmedicales.fr › Thérapeutique › Radiothérapie › Radiothérapie par ions lourds › Protonthérapie › Deep learning-based protoacoustic signal...
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Prise de décision assistée par ordinateur › Thérapie assistée par ordinateur › Radiothérapie assistée par ordinateur › Planification de radiothérapie assistée par ordinateur › Deep learning-based protoacoustic signal...