Scholars@Duke publication: Application of a dynamic 4D anthropomorphic breast phantom in contrast-based imaging system optimization: Dual-energy or temporal subtraction?

Application of a dynamic 4D anthropomorphic breast phantom in contrast-based imaging system optimization: Dual-energy or temporal subtraction?

Publication , Journal Article

Kiarashi, N; Ghate, SV; Lo, JY; Nolte, LW; Samei, E

Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

August 15, 2012

Published version (DOI)

We previously developed a dynamic 4D anthropomorphic breast phantom, which can be used to optimize contrast-based breast imaging systems, accounting for patient variability and contrast kinetics [1]. In this study we aim to compare the performance of contrast-enhanced mammographic and tomosynthesis imaging protocols followed by temporal subtraction and dual-energy subtraction, qualitatively and quantitatively across a couple of patient models. Signal-difference-to-noise ratio (SDNR) is measured for the six paradigms of contrast enhanced, temporally subtracted, and dual-energy subtracted mammography and tomosynthesis and compared. The results show how the performance is more dependent on the breast model in mammography than in tomosynthesis. Also, it is observed that dual-energy subtraction can be beneficial in mammography, whereas it is not advantageous in tomosynthesis. Lastly, the results suggest that temporal subtraction in general outperforms dual-energy subtraction. © 2012 Springer-Verlag Berlin Heidelberg.

Duke Scholars

Author Sujata Vijay Ghate Radiology, Breast Imaging

Author Joseph Yuan-Chieh Lo Radiology

Author Loren W. Nolte Electrical and Computer Engineering

Author Ehsan Samei Radiology

Published In

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

DOI

10.1007/978-3-642-31271-7_85

EISSN

1611-3349

ISSN

0302-9743

Publication Date

August 15, 2012

Volume

7361 LNCS

Start / End Page

658 / 665

Related Subject Headings

Artificial Intelligence & Image Processing
46 Information and computing sciences

Citation

APA

Chicago

ICMJE

MLA

NLM

Kiarashi, N., Ghate, S. V., Lo, J. Y., Nolte, L. W., & Samei, E. (2012). Application of a dynamic 4D anthropomorphic breast phantom in contrast-based imaging system optimization: Dual-energy or temporal subtraction? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7361 LNCS, 658–665. https://doi.org/10.1007/978-3-642-31271-7_85

Kiarashi, N., S. V. Ghate, J. Y. Lo, L. W. Nolte, and E. Samei. “Application of a dynamic 4D anthropomorphic breast phantom in contrast-based imaging system optimization: Dual-energy or temporal subtraction?” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7361 LNCS (August 15, 2012): 658–65. https://doi.org/10.1007/978-3-642-31271-7_85.

Kiarashi N, Ghate SV, Lo JY, Nolte LW, Samei E. Application of a dynamic 4D anthropomorphic breast phantom in contrast-based imaging system optimization: Dual-energy or temporal subtraction? Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012 Aug 15;7361 LNCS:658–65.

Kiarashi, N., et al. “Application of a dynamic 4D anthropomorphic breast phantom in contrast-based imaging system optimization: Dual-energy or temporal subtraction?” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7361 LNCS, Aug. 2012, pp. 658–65. Scopus, doi:10.1007/978-3-642-31271-7_85.

Published In

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

DOI

10.1007/978-3-642-31271-7_85

EISSN

1611-3349

ISSN

0302-9743

Publication Date

August 15, 2012

Volume

7361 LNCS

Start / End Page

658 / 665

Related Subject Headings

Artificial Intelligence & Image Processing
46 Information and computing sciences