Performance and usefulness evaluation of a software-based scatter correction technique for mammographic images

被引:0
作者
Kim, Kyuseok [1 ]
Cho, Eun Il [2 ]
Jeong, Hyun-Woo [1 ]
Lee, Youngjin [3 ]
机构
[1] Eulji Univ, Dept Biomed Engn, 553,Sanseong Daero, Seongnam Si 13135, Gyeonggi Do, South Korea
[2] VRAD Inc, Hyundai Knowledge Ind Ctr 2, A708, Seongnam, South Korea
[3] Gachon Univ, Dept Radiol Sci, 191 Hambakmoero, Incheon 21936, South Korea
关键词
Thickness -based scatter kernel; Software -based scatter correction; Physical grid; Image quality; Mammography; DIGITAL MAMMOGRAPHY; BREAST COMPRESSION; PERIODIC NOISE; MODEL; RECONSTRUCTION; BIOPSY; FILTER; GRIDS; CT;
D O I
10.1016/j.heliyon.2024.e24862
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Although physical grids improve contrast in radiographic images by reducing scattered radiation, various artifacts such as grid shadow, moire, and cutoff result in increased patient doses. To overcome these problems, this study evaluates the applicability and usefulness of a material thickness-based scatter-correction technique for mammography. Specifically, this study aims to compare and evaluate the performance of mammography using the proposed software-based scatter correction framework and a physical grid. The proposed technique enables scatter correction based on pre-calculated parameters of a thickness-based scatter kernel at a water slab phantom and an empirical quantity of scatter components in a mammographic system. In the Monte Carlo simulation and experiment, the proposed framework displayed an intensity profile and full width at half maximum that closely approximated those seen in the physical grid. In addition, by applying the proposed framework to the ACR phantom, it was verified that all structures, including specks, were distinctly distinguished. The results demonstrate that the X-ray scatter-correction method with a software-based framework for mammography is applicable to the field of diagnostic imaging, as this approach yields image quality equivalent to that achieved with physical grids while also enabling a reduction in radiation doses for patients.
引用
收藏
页数:10
相关论文
共 43 条
[1]   Can Breast Compression Be Reduced in Digital Mammography and Breast Tomosynthesis? [J].
Agasthya, Greeshma A. ;
D'Orsi, Ellen ;
Kim, Yoon-Jin ;
Handa, Priyanka ;
Ho, Christopher P. ;
D'Orsi, Carl J. ;
Sechopoulos, loannis .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2017, 209 (05) :W322-W332
[2]   The Global Breast Cancer Initiative: a strategic collaboration to strengthen health care for non-communicable diseases [J].
Anderson, Benjamin O. ;
Ilbawi, Andre M. ;
Fidarova, Elena ;
Weiderpass, Elisabete ;
Stevens, Lisa ;
Abdel-Wahab, May ;
Mikkelsen, Bente .
LANCET ONCOLOGY, 2021, 22 (05) :578-581
[3]   2-POINT STEP SIZE GRADIENT METHODS [J].
BARZILAI, J ;
BORWEIN, JM .
IMA JOURNAL OF NUMERICAL ANALYSIS, 1988, 8 (01) :141-148
[4]   Scatter/primary in mammography: Comprehensive results [J].
Boone, JM ;
Lindfors, KK ;
Cooper, VN ;
Seibert, JA .
MEDICAL PHYSICS, 2000, 27 (10) :2408-2416
[5]   AN ANALYTICAL MODEL OF THE SCATTERED RADIATION DISTRIBUTION IN DIAGNOSTIC-RADIOLOGY [J].
BOONE, JM ;
SEIBERT, JA .
MEDICAL PHYSICS, 1988, 15 (05) :721-725
[6]   INVESTIGATION OF THE PERFORMANCE OF ANTI-SCATTER GRIDS - MONTE-CARLO SIMULATION STUDIES [J].
CHAN, HP ;
DOI, K .
PHYSICS IN MEDICINE AND BIOLOGY, 1982, 27 (06) :785-803
[7]   A Fast Two-Stage Bilateral Filter Using Constant Time O(1) Histogram Generation [J].
Cheng, Sheng-Wei ;
Lin, Yi-Ting ;
Peng, Yan-Tsung .
SENSORS, 2022, 22 (03)
[8]   Classification of breast cancer histology images using incremental boosting convolution networks [J].
Duc My Vo ;
Ngoc-Quang Nguyen ;
Lee, Sang-Woong .
INFORMATION SCIENCES, 2019, 482 :123-138
[9]   Scatter correction in digital mammography based on image deconvolution [J].
Ducote, J. L. ;
Molloi, S. .
PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (05) :1295-1309
[10]   The Effect of Breast Positioning on Breast Compression in Mammography: a Pressure Distribution Perspective [J].
Dustler, Magnus ;
Andersson, Ingvar ;
Fornvik, Daniel ;
Tingberg, Anders .
MEDICAL IMAGING 2012: PHYSICS OF MEDICAL IMAGING, 2012, 8313