Premium
A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications
Author(s) -
Sechopoulos Ioannis
Publication year - 2013
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4770281
Subject(s) - tomosynthesis , computer science , iterative reconstruction , medical physics , artificial intelligence , image processing , computer vision , artifact (error) , breast imaging , mammography , medicine , breast cancer , image (mathematics) , cancer
Many important post‐acquisition aspects of breast tomosynthesis imaging can impact its clinical performance. Chief among them is the reconstruction algorithm that generates the representation of the three‐dimensional breast volume from the acquired projections. But even after reconstruction, additional processes, such as artifact reduction algorithms, computer aided detection and diagnosis, among others, can also impact the performance of breast tomosynthesis in the clinical realm. In this two part paper, a review of breast tomosynthesis research is performed, with an emphasis on its medical physics aspects. In the companion paper, the first part of this review, the research performed relevant to the image acquisition process is examined. This second part will review the research on the post‐acquisition aspects, including reconstruction, image processing, and analysis, as well as the advanced applications being investigated for breast tomosynthesis.