작성자 M.I.D
[논문] Denoising of Digital Mammography Images Using Wavelet Transform
본문
Denoising of Digital Mammography Images Using Wavelet Transform
(웨이블릿을 이용한 디지털유방영상의 노이즈 제거)
Journal of the Korean Society of Radiology (한국방사선학회논문지)
Volume 7 Issue 3 / Pages.181-189 / 2013 / 1976-0620(pISSN) / 2384-0633(eISSN)
The Korean Society of Radiology (한국방사선학회)
Choi, Seokyoon (Department of Radiological Science, Catholic University of Pusan) ; Ko, Seongjin (Department of Radiological Science, Catholic University of Pusan) ; Kang, Sesik (Department of Radiological Science, Catholic University of Pusan)
최석윤 (부산가톨릭대학교 보건과학대학 방사선학과) ; 고성진 (부산가톨릭대학교 보건과학대학 방사선학과) ; 강세식 (부산가톨릭대학교 보건과학대학 방사선학과)
The optimum exposure parameters are found when examined using the automatic mode in FFDM. improve the image quality by applying denoising algorithm and propose methods to reduce AGD(Average Grandular Dose) a patient can receive. For the experiment, Nuclear Associates Model 18-222 phantom was the used, and the entrance dose and AGD were measured. And then, Signal, Noise, SNR and FOM(Figure of Merit) were measured, compared and analyzed image denoising before and after. As the experiment result, first, SNR was the highest at Mo/Mo 23kVp and W/Rh 35kvp was the lowest for the average glandular dose. It showed to use 28kVp of W/Rh to be the best through the result of FOM. SNR was the highest at Mo/Mo 23kVp(image denoising), and it showed to W/Rh and 28kVp to be the best in the FOM result which AGD was considered at the same time. By the image denoising, it is possible to reduce noise while maintain important information in the image.
(웨이블릿을 이용한 디지털유방영상의 노이즈 제거)
Journal of the Korean Society of Radiology (한국방사선학회논문지)
Volume 7 Issue 3 / Pages.181-189 / 2013 / 1976-0620(pISSN) / 2384-0633(eISSN)
The Korean Society of Radiology (한국방사선학회)
Choi, Seokyoon (Department of Radiological Science, Catholic University of Pusan) ; Ko, Seongjin (Department of Radiological Science, Catholic University of Pusan) ; Kang, Sesik (Department of Radiological Science, Catholic University of Pusan)
최석윤 (부산가톨릭대학교 보건과학대학 방사선학과) ; 고성진 (부산가톨릭대학교 보건과학대학 방사선학과) ; 강세식 (부산가톨릭대학교 보건과학대학 방사선학과)
The optimum exposure parameters are found when examined using the automatic mode in FFDM. improve the image quality by applying denoising algorithm and propose methods to reduce AGD(Average Grandular Dose) a patient can receive. For the experiment, Nuclear Associates Model 18-222 phantom was the used, and the entrance dose and AGD were measured. And then, Signal, Noise, SNR and FOM(Figure of Merit) were measured, compared and analyzed image denoising before and after. As the experiment result, first, SNR was the highest at Mo/Mo 23kVp and W/Rh 35kvp was the lowest for the average glandular dose. It showed to use 28kVp of W/Rh to be the best through the result of FOM. SNR was the highest at Mo/Mo 23kVp(image denoising), and it showed to W/Rh and 28kVp to be the best in the FOM result which AGD was considered at the same time. By the image denoising, it is possible to reduce noise while maintain important information in the image.