Topic
Digital mammography
About: Digital mammography is a research topic. Over the lifetime, 3483 publications have been published within this topic receiving 70266 citations.
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TL;DR: Results indicate that the dual-energy contrast agent-enhanced digital subtraction mammography technique is feasible and worthy of further study.
Abstract: A technique for demonstrating breast cancers, dual-energy contrast agent–enhanced digital subtraction mammography, was performed in 26 subjects with mammographic or clinical findings that warranted biopsy. The technique consists of high-energy and low-energy digital mammography after administration of iodinated contrast agent. Weighted subtraction of the logarithmic transform of these images is then performed to obtain an image that preferentially shows iodine. Of the 26 subjects, 13 had invasive cancers. Eleven of these tumors enhanced strongly, one enhanced moderately, and one enhanced weakly. The duct in one patient with ductal carcinoma in situ was weakly enhancing. In the other 12 patients, benign tissue enhanced diffusely in two and weakly focally in two. These results indicate that the technique is feasible and worthy of further study. © RSNA, 2003
382 citations
TL;DR: The potential application of such a computer-aided system to mammographic interpretation is demonstrated by its ability to detect microcalcifications in clinical mammograms.
Abstract: We have investigated the application of computer-based methods to the detection of microcalcifications in digital mammograms. The computer detection system is based on a difference-image technique in which a signal-suppressed image is subtracted from a signal-enhanced image to remove the structured background in a mammogram. Signal-extraction techniques adapted to the known physical characteristics of microcalcifications are then used to isolate microcalcifications from the remaining noise background. We employ Monte Carlo methods to generate simulated clusters of microcalcifications that are superimposed on normal mammographic backgrounds. This allows quantitative evaluation of detection accuracy of the computer method and the dependence of this accuracy on the physical characteristics of the microcalcifications. Our present computer method can achieve a true-positive cluster detection rate of approximately 80% at a false-positive detection rate of one cluster per image. The potential application of such a computer-aided system to mammographic interpretation is demonstrated by its ability to detect microcalcifications in clinical mammograms.
377 citations
TL;DR: Patients undergoing tomosynthesis plus digital mammography had significantly lower screening recall rates, and the greatest reductions were for those younger than 50 years and those with dense breasts.
Abstract: Although all breast density and age subgroups benefitted from the addition of tomosynthesis to conventional digital mammography, the patients receiving the greatest benefit were women with dense breasts and those younger than 50 years.
364 citations
TL;DR: The extensive research performed during the development of breast tomosynthesis is reviewed, with a focus on the research addressing the medical physics aspects of this imaging modality.
Abstract: Mammography is a very well-established imaging modality for the early detection and diagnosis of breast cancer. However, since the introduction of digital imaging to the realm of radiology, more advanced, and especially tomographic imaging methods have been made possible. One of these methods, breast tomosynthesis, has finally been introduced to the clinic for routine everyday use, with potential to in the future replace mammography for screening for breast cancer. In this two part paper, the extensive research performed during the development of breast tomosynthesis is reviewed, with a focus on the research addressing the medical physics aspects of this imaging modality. This first paper will review the research performed on the issues relevant to the image acquisition process, including system design, optimization of geometry and technique, x-ray scatter, and radiation dose. The companion to this paper will review all other aspects of breast tomosynthesis imaging, including the reconstruction process.
363 citations
TL;DR: It was shown in both phantom imaging and patient imaging that the BP algorithm provided the best SDNR for low-contrast masses but the conspicuity of the feature details was limited by interplane artifacts; the FBP algorithms provided the highest edge sharpness for microcalcifications but the quality of masses was poor.
Abstract: Three algorithms for breast tomosynthesis reconstruction were compared in this paper, including (1) a back-projection (BP) algorithm (equivalent to the shift-and-add algorithm), (2) a Feldkamp filtered back-projection (FBP) algorithm, and (3) an iterative Maximum Likelihood (ML) algorithm. Our breast tomosynthesis system acquires 11 low-dose projections over a 50 degree angular range using an a-Si (CsI:Tl) flat-panel detector. The detector was stationary during the acquisition. Quality metrics such as signal difference to noise ratio (SDNR) and artifact spread function (ASF) were used for quantitative evaluation of tomosynthesis reconstructions. The results of the quantitative evaluation were in good agreement with the results of the qualitative assessment. In patient imaging, the superimposed breast tissues observed in two-dimensional (2D) mammograms were separated in tomosynthesis reconstructions by all three algorithms. It was shown in both phantom imaging and patient imaging that the BP algorithm provided the best SDNR for low-contrast masses but the conspicuity of the feature details was limited by interplane artifacts; the FBP algorithm provided the highest edge sharpness for microcalcifications but the quality of masses was poor; the information of both the masses and the microcalcifications were well restored with balanced quality by the ML algorithm, superior to the results from the other two algorithms.
355 citations