کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8251368 1533476 2018 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparison study of image quality and effective dose in dual energy chest digital tomosynthesis
ترجمه فارسی عنوان
مقایسه کیفیت تصویر و دوز موثر در توم ثانوی دیجیتال سونوگرافی دوگانه
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم تشعشع
چکیده انگلیسی
The present study aimed to introduce a recently developed digital tomosynthesis system for the chest and describe the procedure for acquiring dual energy bone decomposed tomosynthesis images. Various beam quality and reconstruction algorithms were evaluated for acquiring dual energy chest digital tomosynthesis (CDT) images and the effective dose was calculated with ion chamber and Monte Carlo simulations. The results demonstrated that dual energy CDT improved visualization of the lung field by eliminating the bony structures. In addition, qualitative and quantitative image quality of dual energy CDT using iterative reconstruction was better than that with filtered backprojection (FBP) algorithm. The contrast-to-noise ratio and figure of merit values of dual energy CDT acquired with iterative reconstruction were three times better than those acquired with FBP reconstruction. The difference in the image quality according to the acquisition conditions was not noticeable, but the effective dose was significantly affected by the acquisition condition. The high energy acquisition condition using 130 kVp recorded a relatively high effective dose. We conclude that dual energy CDT has the potential to compensate for major problems in CDT due to decomposed bony structures, which induce significant artifacts. Although there are many variables in the clinical practice, our results regarding reconstruction algorithms and acquisition conditions may be used as the basis for clinical use of dual energy CDT imaging.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Radiation Physics and Chemistry - Volume 148, July 2018, Pages 112-120
نویسندگان
, , , , , ,