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مقالات فارسیISIکنفرانسهاژورنالها

An Improved Method of Automated Noise Measurement System in CT Images

محل انتشار: مجله فیزیک و مهندسی پزشکی، دوره: 11، شماره: 2
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 46

فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:
https://civilica.com/doc/1892043

شناسه ملی سند علمی:

JR_JBPE-11-2_006

تاریخ نمایه سازی: 30 دی 1402

چکیده مقاله:

Background: It is necessary to have an automated noise measurement system working accurately to optimize dose in computerized tomography (CT) examinations.Objective: This study aims to develop an algorithm to automate noise measurement that can be implemented in CT images of all body regions.Materials and Methods: In this retrospective study, our automated noise measurement method consists of three steps as follows: the first is segmenting the image of the patient. The second is developing a standard deviation (SD) map by calculating the SD value for each pixel with a sliding window operation. The third step is estimating the noise as the smallest SD from the SD map. The proposed method was applied to the images of a homogenous phantom and a full body adult anthropomorphic phantom, and retrospectively applied to ۲۷ abdominal images of patients. Results: For a homogeneous phantom, the noises calculated using our proposed and previous algorithms have a linear correlation with R۲ = ۰.۹۹۷. It is found that the noise magnitude closely follows the magnitude of the water equivalent diameter (Dw) in all body regions. The proposed algorithm is able to distinguish the noise magnitude due to variations in tube currents and different noise suppression techniques such as strong, standard, mild, and weak ones in a reconstructed image using the AIDR ۳D algorithm.Conclusion: An automated noise calculation has been proposed and successfully implemented in all body regions. It is not only accurate and easy to implement but also not influenced by the subjectivity of user.

کلیدواژه ها:

Ionizing radiation ، X-rays ، Computed Tomography ، Image Quality ، Automated Noise Calculation ، Algorithms ، Image Processing ، Computer-Assisted

نویسندگان

Choirul Anam

PhD, Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Jl. Prof. Soedarto SH, Tembalang, Semarang ۵۰۲۷۵, Central Java, Indonesia

Idam Arif

PhD, Department of Physics, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Ganesha ۱۰, Bandung ۴۰۱۳۲, West Java, Indonesia

Freddy Haryanto

PhD, Department of Physics, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Ganesha ۱۰, Bandung ۴۰۱۳۲, West Java, Indonesia

Fauzia P Lestari

MSc, Department of Physics, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Ganesha ۱۰, Bandung ۴۰۱۳۲, West Java, Indonesia

Rena Widita

PhD, Department of Physics, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Ganesha ۱۰, Bandung ۴۰۱۳۲, West Java, Indonesia

Wahyu S Budi

PhD, Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Jl. Prof. Soedarto SH, Tembalang, Semarang ۵۰۲۷۵, Central Java, Indonesia

Heri Sutanto

PhD, Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Jl. Prof. Soedarto SH, Tembalang, Semarang ۵۰۲۷۵, Central Java, Indonesia

Kusworo Adi

PhD, Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Jl. Prof. Soedarto SH, Tembalang, Semarang ۵۰۲۷۵, Central Java, Indonesia

Toshioh Fujibuchi

PhD, Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, ۳-۱-۱ Maidashi, Higashi-ku, Fukuoka ۸۱۲-۸۵۸۲, Japan

Geoff Dougherty

PhD, Department of Applied Physics and Medical Imaging, California State University Channel Islands, Camarillo, CA ۹۳۰۱۲, USA

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