scholarly journals Investigation of Quality Control and Average Glandular Dose and Image Quality in Digital Mammography in Hokkaido

2011 ◽  
Vol 67 (4) ◽  
pp. 374-380
Author(s):  
Kunio Kurowarabi ◽  
Hiroko Abe ◽  
Hiroshi Horita ◽  
Kazuyuki Kaneta
2005 ◽  
Vol 114 (1-3) ◽  
pp. 383-388 ◽  
Author(s):  
B. Hemdal ◽  
I. Andersson ◽  
A. Grahn ◽  
M. Håkansson ◽  
M. Ruschin ◽  
...  

2018 ◽  
Vol 60 (2) ◽  
pp. 140-148
Author(s):  
Veli-Matti Sundell ◽  
Teemu Mäkelä ◽  
Alexander Meaney ◽  
Touko Kaasalainen ◽  
Sauli Savolainen

Background The high requirements for mammography image quality necessitate a systematic quality assurance process. Digital imaging allows automation of the image quality analysis, which can potentially improve repeatability and objectivity compared to a visual evaluation made by the users. Purpose To develop an automatic image quality analysis software for daily mammography quality control in a multi-unit imaging center. Material and Methods An automated image quality analysis software using the discrete wavelet transform and multiresolution analysis was developed for the American College of Radiology accreditation phantom. The software was validated by analyzing 60 randomly selected phantom images from six mammography systems and 20 phantom images with different dose levels from one mammography system. The results were compared to a visual analysis made by four reviewers. Additionally, long-term image quality trends of a full-field digital mammography system and a computed radiography mammography system were investigated. Results The automated software produced feature detection levels comparable to visual analysis. The agreement was good in the case of fibers, while the software detected somewhat more microcalcifications and characteristic masses. Long-term follow-up via a quality assurance web portal demonstrated the feasibility of using the software for monitoring the performance of mammography systems in a multi-unit imaging center. Conclusion Automated image quality analysis enables monitoring the performance of digital mammography systems in an efficient, centralized manner.


2020 ◽  
Vol 17 (12) ◽  
pp. 1644-1652
Author(s):  
Melanie P. Caserta ◽  
Stephanie L. Bonnett ◽  
Melody C. La Valley ◽  
Salvatore De Meo ◽  
Andrew W. Bowman

2016 ◽  
pp. ncw049
Author(s):  
Patricia Mora ◽  
Helen Khoury ◽  
Regina Bitelli ◽  
Ana Rosa Quintero ◽  
Fernando Garay ◽  
...  

2017 ◽  
Vol 59 (6) ◽  
pp. 649-656 ◽  
Author(s):  
Teresa Monserrat ◽  
Elena Prieto ◽  
Benigno Barbés ◽  
Luis Pina ◽  
Arlette Elizalde ◽  
...  

Background In 2014, Siemens developed a new software-based scatter correction (Progressive Reconstruction Intelligently Minimizing Exposure [PRIME]), enabling grid-less digital mammography. Purpose To compare doses and image quality between PRIME (grid-less) and standard (with anti-scatter grid) modes. Material and Methods Contrast-to-noise ratio (CNR) was measured for various polymethylmethacrylate (PMMA) thicknesses and dose values provided by the mammograph were recorded. CDMAM phantom images were acquired for various PMMA thicknesses and inverse Image Quality Figure (IQFinv) was calculated. Values of incident entrance surface air kerma (ESAK) and average glandular dose (AGD) were obtained from the DICOM header for a total of 1088 pairs of clinical cases. Two experienced radiologists compared subjectively the image quality of a total of 149 pairs of clinical cases. Results CNR values were higher and doses were lower in PRIME mode for all thicknesses. IQFinv values in PRIME mode were lower for all thicknesses except for 40 mm of PMMA equivalent, in which IQFinv was slightly greater in PRIME mode. A mean reduction of 10% in ESAK and 12% in AGD in PRIME mode with respect to standard mode was obtained. The clinical image quality in PRIME and standard acquisitions resulted to be similar in most of the cases (84% for the first radiologist and 67% for the second one). Conclusion The use of PRIME software reduces, in average, the dose of radiation to the breast without affecting image quality. This reduction is greater for thinner and denser breasts.


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