کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7224161 1470567 2018 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Feasibility of newly designed fast non local means (FNLM)-based noise reduction filter for X-ray imaging: A simulation study
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Feasibility of newly designed fast non local means (FNLM)-based noise reduction filter for X-ray imaging: A simulation study
چکیده انگلیسی
In the diagnostic radiology field, reducing the radiation dose for patient lead to increased noise in image. Since increases of noise decrease the diagnosis rate, to reduce the noise is necessary. In this study quantitatively evaluates the four widely used and newly verified filters which remove noise in image: median, Wiener, total variation, and fast non local means (FNLM). For that purpose, X-ray and computed tomography (CT) images are acquired using MATLAB simulation with 3D voxelized phantom. To evaluate image performance, normalized noise power spectrum (NNPS), contrast to noise ratio (CNR) and coefficient of variation (COV) were used. As a result, we can efficiently remove noise in X-ray image when FNLM filter was used compared with frequently used filters. In conclusion, our results demonstrated that our proposed FNLM filter shows superior denoising performance, which is expected to enhance the detection of diseases in clinical images with low dose.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - Volume 160, May 2018, Pages 124-130
نویسندگان
, , ,