Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation

Sylvain Bernard; Serge Muller; Jon Onativia

doi:10.1007/978-3-540-70538-3_22

Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation

Sylvain Bernard^*
, Serge Muller
, Jon Onativia

^*Corresponding author for this work

GE Healthcare

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Citations (Scopus)

Abstract

In this paper, we present a method for microcalcification detection on filtered back-projection reconstructed slices of breasts acquired on a Digital Breast Tomosynthesis system. Performance of the algorithm has been evaluated on a ground-truth database composed of 50 cases (13 lesions, 37 normals). Since the method is derived from an algorithm developed to detect microcalcifications on 2D digital mammograms, a comparison in terms of performances is provided leading to a discussion for future improvements.

Original language	English
Title of host publication	Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings
Pages	151-157
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-540-70538-3_22
Publication status	Published - 2008
Externally published	Yes
Event	9th International Workshop on Digital Mammography, IWDM 2008 - Tucson, AZ, United States Duration: 20 Jul 2008 → 23 Jul 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5116 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Workshop on Digital Mammography, IWDM 2008
Country/Territory	United States
City	Tucson, AZ
Period	20/07/08 → 23/07/08

Keywords

3D
Back projection
CAD
Filter
Mammography
Mexican hat
Multiscale
Noise model
Reconstruction
Tomosynthesis
Volume
Wavelet
X-ray

Access to Document

10.1007/978-3-540-70538-3_22

Cite this

Bernard, S., Muller, S., & Onativia, J. (2008). Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation. In Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings (pp. 151-157). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5116 LNCS). https://doi.org/10.1007/978-3-540-70538-3_22

Bernard, Sylvain ; Muller, Serge ; Onativia, Jon. / Computer-aided microcalcification detection on digital breast tomosynthesis data : A preliminary evaluation. Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings. 2008. pp. 151-157 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{06bef131249441729cbc504453f9eb79,

title = "Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation",

abstract = "In this paper, we present a method for microcalcification detection on filtered back-projection reconstructed slices of breasts acquired on a Digital Breast Tomosynthesis system. Performance of the algorithm has been evaluated on a ground-truth database composed of 50 cases (13 lesions, 37 normals). Since the method is derived from an algorithm developed to detect microcalcifications on 2D digital mammograms, a comparison in terms of performances is provided leading to a discussion for future improvements.",

keywords = "3D, Back projection, CAD, Filter, Mammography, Mexican hat, Multiscale, Noise model, Reconstruction, Tomosynthesis, Volume, Wavelet, X-ray",

author = "Sylvain Bernard and Serge Muller and Jon Onativia",

year = "2008",

doi = "10.1007/978-3-540-70538-3\_22",

language = "English",

isbn = "3540705376",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "151--157",

booktitle = "Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings",

note = "9th International Workshop on Digital Mammography, IWDM 2008 ; Conference date: 20-07-2008 Through 23-07-2008",

}

Bernard, S, Muller, S & Onativia, J 2008, Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation. in Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5116 LNCS, pp. 151-157, 9th International Workshop on Digital Mammography, IWDM 2008, Tucson, AZ, United States, 20/07/08. https://doi.org/10.1007/978-3-540-70538-3_22

Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation. / Bernard, Sylvain; Muller, Serge; Onativia, Jon.
Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings. 2008. p. 151-157 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5116 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Computer-aided microcalcification detection on digital breast tomosynthesis data

T2 - 9th International Workshop on Digital Mammography, IWDM 2008

AU - Bernard, Sylvain

AU - Muller, Serge

AU - Onativia, Jon

PY - 2008

Y1 - 2008

N2 - In this paper, we present a method for microcalcification detection on filtered back-projection reconstructed slices of breasts acquired on a Digital Breast Tomosynthesis system. Performance of the algorithm has been evaluated on a ground-truth database composed of 50 cases (13 lesions, 37 normals). Since the method is derived from an algorithm developed to detect microcalcifications on 2D digital mammograms, a comparison in terms of performances is provided leading to a discussion for future improvements.

AB - In this paper, we present a method for microcalcification detection on filtered back-projection reconstructed slices of breasts acquired on a Digital Breast Tomosynthesis system. Performance of the algorithm has been evaluated on a ground-truth database composed of 50 cases (13 lesions, 37 normals). Since the method is derived from an algorithm developed to detect microcalcifications on 2D digital mammograms, a comparison in terms of performances is provided leading to a discussion for future improvements.

KW - 3D

KW - Back projection

KW - CAD

KW - Filter

KW - Mammography

KW - Mexican hat

KW - Multiscale

KW - Noise model

KW - Reconstruction

KW - Tomosynthesis

KW - Volume

KW - Wavelet

KW - X-ray

UR - https://www.scopus.com/pages/publications/50949104022

U2 - 10.1007/978-3-540-70538-3_22

DO - 10.1007/978-3-540-70538-3_22

M3 - Conference contribution

AN - SCOPUS:50949104022

SN - 3540705376

SN - 9783540705376

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 151

EP - 157

BT - Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings

Y2 - 20 July 2008 through 23 July 2008

ER -

Bernard S, Muller S, Onativia J. Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation. In Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings. 2008. p. 151-157. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-70538-3_22

Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation

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Keywords

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