رکورد قبلیرکورد بعدی

" Optimization of Computed Tomography Calibration Curve for Proton Therapy Treatment Planning "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 1052737
Doc. No : TL51854
Main Entry : Ghasemi Ghonchehnazi, Maryam
Title & Author : Optimization of Computed Tomography Calibration Curve for Proton Therapy Treatment Planning\ Ghasemi Ghonchehnazi, MaryamShang, Charles
College : Florida Atlantic University
Date : 2019
Degree : M.S.
student score : 2019
Note : 60 p.
Abstract : The accuracy of proton dose computation in the treatment planning system relies on the conversion from the Hounsfield units (HU) of each voxel in the patient CT scan to the proton stopping power ratio (SPR). The aim of this study is to investigate the potential improvement in determining proton SPR using single energy computed tomography (SECT) to reduce the uncertainty in predicting the proton range in patients. Factors which may cause CT number variations in the calibration curve have been examined. The HU-SPR calibration curve was determined based on HU of human body tissues using the stoichiometric method. The uncertainties in SPR were divided into two major categories: The inherent uncertainty, and the CT number uncertainty. The root mean square errors of the inherent uncertainties were estimated 0.02%, 0.61% and 0.26% for lung tissues, soft tissues (excluding Thyroid), and bone tissues, respectively. The total uncertainties due to the inherent uncertainty and CT imaging errors were estimated 1.50%. The average calibration curve of two sized phantoms (head and body) were used in the treatment planning system to mitigate beam hardening effect through the attenuating media. A higher accuracy of the SPR prediction using the stoichiometric method is suggested through comparison with the predicted SPRs that derived from the direct calibration approach.
Descriptor : Applied physics
: Nuclear physics
: Physics
Added Entry : Shang, Charles
Added Entry : Florida Atlantic University
کپی لینک

پیشنهاد خرید
پیوستها
عنوان :
نام فایل :
نوع عام محتوا :
نوع ماده :
فرمت :
سایز :
عرض :
طول :
2333948541_3508.pdf
2333948541.pdf
پایان نامه لاتین
متن
application/pdf
2.10 MB
85
85
نظرسنجی
نظرسنجی منابع دیجیتال

1 - آیا از کیفیت منابع دیجیتال راضی هستید؟