The effects of Compton camera data acquisition and readout timing on PG imaging for proton range verification.

Compton camera prompt gamma imaging proton range verification proton therapy

Journal

IEEE transactions on radiation and plasma medical sciences
ISSN: 2469-7311
Titre abrégé: IEEE Trans Radiat Plasma Med Sci
Pays: United States
ID NLM: 101705223

Informations de publication

Date de publication:
Mar 2022
Historique:
entrez: 12 9 2022
pubmed: 13 9 2022
medline: 13 9 2022
Statut: ppublish

Résumé

The purpose of this study was to determine how the characteristics of the data acquisition (DAQ) electronics of a Compton camera (CC) affect the quality of the recorded prompt gamma (PG) interaction data and the reconstructed images, during clinical proton beam delivery. We used the Monte-Carlo-plus-Detector-Effect (MCDE) model to simulate the delivery of a 150 MeV clinical proton pencil beam to a tissue-equivalent plastic phantom. With the MCDE model we analyzed how the recorded PG interaction data changed as two characteristics of the DAQ electronics of a CC were changed: (1) the number of data readout channels; and (2) the active charge collection, readout, and reset time. As the proton beam dose rate increased, the number of recorded PG single-, double-, and triple-scatter events decreased by a factor of 60× for the current DAQ configuration of the CC. However, as the DAQ readout channels were increased and the readout/reset timing decreased, the number of recorded events decreased by <5× at the highest clinical dose rate. The increased number of readout channels and reduced readout/reset timing also resulted in higher quality recorded data. That is, a higher percentage of the recorded double- and triple-scatters were "true" events (caused by a single incident gamma) and not "false" events (caused by multiple incident gammas). The increase in the number and the quality of recorded data allowed higher quality PG images to be reconstructed even at the highest clinical dose rates.

Identifiants

pubmed: 36092269
doi: 10.1109/trpms.2021.3057341
pmc: PMC9457195
mid: NIHMS1785486
doi:

Types de publication

Journal Article

Langues

eng

Pagination

366-373

Subventions

Organisme : NCI NIH HHS
ID : R01 CA187416
Pays : United States

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Auteurs

Jerimy C Polf (JC)

University of Maryland School of Medicine, Baltimore, Maryland 21201.

Paul Maggi (P)

University of Maryland School of Medicine, Baltimore, Maryland 21201, USA.

Rajesh Panthi (R)

University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, USA.

Stephen Peterson (S)

University of Cape Town, Rondebosch, 7700, South Africa.

Dennis Mackin (D)

University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030.

Sam Beddar (S)

University of Texas M.D. Anderson Cancer Center, Houston, TX 77030.

Classifications MeSH