Abstract
The clinical applications of the volography algorithm and concomitant refraction-corrected reflection algorithm as described in Chap. 10 are discussed here. Comparisons with an H&E stained image, discussion of glandular tissue visibility, related biomarkers, segmentation accuracy and capabilities, microcalcification and cyst detection and analysis, and various VGA and clinical studies show the unique capabilities of the method. The accuracy of the fibroglandular segmentation and its relevance to breast density in imaging is mentioned. The compatibility with artificial intelligence (AI) is shown and clinical results discussed, concluding that low-frequency 3D ultrasound volography is a powerful 3D ultrasound imaging technique for microanatomic and quantitative features of the breast with good potential for AI utilization to provide an imaging technique that will quantitatively improve clinical performance.
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Klock, J. (2023). Clinical Importance of 3D Volography in Breast Imaging. In: Mamou, J., Oelze, M.L. (eds) Quantitative Ultrasound in Soft Tissues. Advances in Experimental Medicine and Biology, vol 1403. Springer, Cham. https://doi.org/10.1007/978-3-031-21987-0_11
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