Analysis of characteristics of images acquired with a prototype clinical proton radiography system.


Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
May 2021
Historique:
revised: 20 01 2021
received: 10 09 2020
accepted: 16 02 2021
pubmed: 24 2 2021
medline: 25 5 2021
entrez: 23 2 2021
Statut: ppublish

Résumé

Verification of patient-specific proton stopping powers obtained in the patient's treatment position can be used to reduce the distal and proximal margins needed in particle beam planning. Proton radiography can be used as a pretreatment instrument to verify integrated stopping power consistency with the treatment planning CT. Although a proton radiograph is a pixel by pixel representation of integrated stopping powers, the image may also be of high enough quality and contrast to be used for patient alignment. This investigation quantifies the accuracy and image quality of a prototype proton radiography system on a clinical proton delivery system. We have developed a clinical prototype proton radiography system designed for integration into efficient clinical workflows. We tested the images obtained by this system for water-equivalent thickness (WET) accuracy, image noise, and spatial resolution. We evaluated the WET accuracy by comparing the average WET and rms error in several regions of interest (ROI) on a proton radiograph of a custom peg phantom. We measured the spatial resolution on a CATPHAN Line Pair phantom and a custom edge phantom by measuring the 10% value of the modulation transfer function (MTF). In addition, we tested the ability to detect proton range errors due to anatomical changes in a patient with a customized CIRS pediatric head phantom and inserts of varying WET placed in the posterior fossae of the brain. We took proton radiographs of the phantom with each insert in place and created difference maps between the resulting images. Integrated proton range was measured from an ROI in the difference maps. We measured the WET accuracy of the proton radiographic images to be ±0.2 mm (0.33%) from known values. The spatial resolution of the images was 0.6 lp/mm on the line pair phantom and 1.13 lp/mm on the edge phantom. We were able to detect anatomical changes producing changes in WET as low as 0.6 mm. The proton radiography system produces images with image quality sufficient for pretreatment range consistency verification.

Identifiants

pubmed: 33621368
doi: 10.1002/mp.14801
pmc: PMC8141022
mid: NIHMS1678661
doi:

Substances chimiques

Protons 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2271-2278

Subventions

Organisme : US Department of the Army
ID : W81XWH-10-1-0170
Organisme : NCI NIH HHS
ID : R44 CA203499
Pays : United States
Organisme : NCI NIH HHS
ID : R44 CA243939
Pays : United States
Organisme : National Cancer Institute of the National Institutes of Health
ID : R44CA203499
Organisme : The US Army Medical Research Acquisition Activity
ID : W81XWH-10-1-0170
Organisme : US Department of Energy
ID : DE-SC0005135
Organisme : National Cancer Institute of the National Institutes of Health
ID : R44CA243939

Informations de copyright

© 2021 American Association of Physicists in Medicine.

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Auteurs

Christina Sarosiek (C)

Department of Physics, Northern Illinois University, DeKalb, IL, 60115, USA.

Ethan A DeJongh (EA)

ProtonVDA LLC, Naperville, IL, 60563, USA.

George Coutrakon (G)

Department of Physics, Northern Illinois University, DeKalb, IL, 60115, USA.

Don F DeJongh (DF)

ProtonVDA LLC, Naperville, IL, 60563, USA.

Kirk L Duffin (KL)

Department of Computer Science, Northern Illinois University, DeKalb, IL, 60115, USA.

Nicholas T Karonis (NT)

Department of Computer Science, Northern Illinois University, DeKalb, IL, 60115, USA.
Argonne National Laboratory, Data Science and Learning Division, Argonne, IL, 60439, USA.

Caesar E Ordoñez (CE)

Department of Computer Science, Northern Illinois University, DeKalb, IL, 60115, USA.

Mark Pankuch (M)

Northwestern Medicine Chicago Proton Center, Warrenville, IL, 60555, USA.

Victor Rykalin (V)

ProtonVDA LLC, Naperville, IL, 60563, USA.

John R Winans (JR)

Department of Computer Science, Northern Illinois University, DeKalb, IL, 60115, USA.

James S Welsh (JS)

Radiation Oncology Service, Edward Hines Jr VA Medical Center, Hines, IL, 60141, USA.
Department of Radiation Oncology, Loyola University Stritch School of Medicine, Maywood, IL, 60153, USA.

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Classifications MeSH