Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis
Joint Authors
Chae, Eun Young
Kim, Hak Hee
Lee, Soo Yeul
Jeong, Ji-wook
Chae, Seung-Hoon
Choi, Young-Wook
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We propose computer-aided detection (CADe) algorithm for microcalcification (MC) clusters in reconstructed digital breast tomosynthesis (DBT) images.
The algorithm consists of prescreening, MC detection, clustering, and false-positive (FP) reduction steps.
The DBT images containing the MC-like objects were enhanced by a multiscale Hessian-based three-dimensional (3D) objectness response function and a connected-component segmentation method was applied to extract the cluster seed objects as potential clustering centers of MCs.
Secondly, a signal-to-noise ratio (SNR) enhanced image was also generated to detect the individual MC candidates and prescreen the MC-like objects.
Each cluster seed candidate was prescreened by counting neighboring individual MC candidates nearby the cluster seed object according to several microcalcification clustering criteria.
As a second step, we introduced bounding boxes for the accepted seed candidate, clustered all the overlapping cubes, and examined.
After the FP reduction step, the average number of FPs per case was estimated to be 2.47 per DBT volume with a sensitivity of 83.3%.
American Psychological Association (APA)
Jeong, Ji-wook& Chae, Seung-Hoon& Chae, Eun Young& Kim, Hak Hee& Choi, Young-Wook& Lee, Soo Yeul. 2016. Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis. BioMed Research International،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099111
Modern Language Association (MLA)
Jeong, Ji-wook…[et al.]. Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis. BioMed Research International No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1099111
American Medical Association (AMA)
Jeong, Ji-wook& Chae, Seung-Hoon& Chae, Eun Young& Kim, Hak Hee& Choi, Young-Wook& Lee, Soo Yeul. Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099111