NDLI: Improvement of subtle microcalcifications detection in DBT slices

Content Provider	IEEE Xplore Digital Library
Author	Eun Joon Kim Dae Hoe Kim Eun Suk Cha Yong Man Ro
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea (Eun Joon Kim; Dae Hoe Kim; Yong Man Ro) \|\| Dept. of Radiol., Ewha Womans Univ., Seoul, South Korea (Eun Suk Cha)
Abstract	In this paper, a novel microcalcification detection in Digital Breast Tomosynthesis (DBT) is proposed, which allows detecting subtle microcalcifications that have relatively low contrast in DBT slices. 3D Foveal segmentation is employed for volume of interest (VOI) detection using adaptive thresholding scheme by local volume contrast. Furthermore, in order to conserve structural characteristics of clustered microcalcifications, features from VOI maximum ray-tracing images with three orthogonal directions are extracted. Extensive and comparative experiments were carried out to demonstrate the effectiveness of the proposed 3D Foveal segmentation and the feature extraction method on clinical DBT cases. The results showed that the proposed microcalcification detection achieves a sensitivity of 98% at 0.5 FP per volume.
Sponsorship	IEEE Comput. Soc.
Starting Page	322
Ending Page	325
File Size	515901
Page Count	4
File Format	PDF
ISBN	9781479921317
DOI	10.1109/BHI.2014.6864368
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Three-dimensional displays Ray tracing Breast Biomedical imaging Image reconstruction Image segmentation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis

Automatic detection and clustering of the breast microcalcifications in three dimensions

Segmentation Based Features for Wide-Baseline Multi-view Reconstruction

Segmentation and features extraction techniques, with applications to biomedical images

3D image reconstruction from 2D CT slices

Automated detection in complex objects using a tracking algorithm in multiple X-ray views

3D reconstruction from bifocus imaging

Segmentation of Pulmonary Artery Based on CT Angiography Image

Ray tracing NPR-style feature lines

Improvement of subtle microcalcifications detection in DBT slices

Similar Documents

Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis

Automatic detection and clustering of the breast microcalcifications in three dimensions

Segmentation Based Features for Wide-Baseline Multi-view Reconstruction

Segmentation and features extraction techniques, with applications to biomedical images

3D image reconstruction from 2D CT slices

Automated detection in complex objects using a tracking algorithm in multiple X-ray views

3D reconstruction from bifocus imaging

Segmentation of Pulmonary Artery Based on CT Angiography Image

Ray tracing NPR-style feature lines

Improvement of subtle microcalcifications detection in DBT slices