Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods

Yue Houng Hu; Michael Masiar; Wei Zhao

doi:10.1007/978-3-642-13666-5_81

Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods

Yue Houng Hu
, Michael Masiar
, Wei Zhao

Radiology

Stony Brook University

Stony Brook University

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

12 Scopus citations

Abstract

Digital breast tomosynthesis (DBT) is being investigated to overcome the obscuring effect of overlapping breast tissue in projection mammography. To quantify the effectiveness of DBT in reducing overlapping breast structures, it is important to investigate how breast structural noise propagates during the reconstruction process. Others have found that breast structure may be characterized as power law noise of the form κ/ f ^β . We investigate how the power law exponent, β, varies as a function of reconstruction methods. Clinical DBT data sets were used to analyze breast structural noise in both projection and reconstructed domains using different filter schemes of a filtered back projection (FBP) reconstruction algorithm. The dependence on filter settings was compared with cascaded linear system theory. The goal this work is to combine frequency domain analysis of breast structural noise with previous work on quantum noise in DBT and develop a generalized framework to optimize DBT for breast lesion detection.

Original language	English
Title of host publication	Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings
Pages	598-605
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-13666-5_81
State	Published - 2010
Event	10th International Workshop on Digital Mammography, IWDM 2010 - Girona, Catalonia, Spain Duration: Jun 16 2010 → Jun 18 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6136 LNCS

Conference

Conference	10th International Workshop on Digital Mammography, IWDM 2010
Country/Territory	Spain
City	Girona, Catalonia
Period	06/16/10 → 06/18/10

Keywords

NPS
anatomical clutter
digital breast tomosynthesis
ideal observer model
linear system model

Access to Document

10.1007/978-3-642-13666-5_81

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Hu, Y. H., Masiar, M., & Zhao, W. (2010). Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods. In Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings (pp. 598-605). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6136 LNCS). https://doi.org/10.1007/978-3-642-13666-5_81

Hu, Yue Houng ; Masiar, Michael ; Zhao, Wei. / Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods. Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings. 2010. pp. 598-605 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods",

abstract = "Digital breast tomosynthesis (DBT) is being investigated to overcome the obscuring effect of overlapping breast tissue in projection mammography. To quantify the effectiveness of DBT in reducing overlapping breast structures, it is important to investigate how breast structural noise propagates during the reconstruction process. Others have found that breast structure may be characterized as power law noise of the form κ/ f β . We investigate how the power law exponent, β, varies as a function of reconstruction methods. Clinical DBT data sets were used to analyze breast structural noise in both projection and reconstructed domains using different filter schemes of a filtered back projection (FBP) reconstruction algorithm. The dependence on filter settings was compared with cascaded linear system theory. The goal this work is to combine frequency domain analysis of breast structural noise with previous work on quantum noise in DBT and develop a generalized framework to optimize DBT for breast lesion detection.",

keywords = "NPS, anatomical clutter, digital breast tomosynthesis, ideal observer model, linear system model",

author = "Hu, \{Yue Houng\} and Michael Masiar and Wei Zhao",

year = "2010",

doi = "10.1007/978-3-642-13666-5\_81",

language = "English",

isbn = "3642136656",

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

pages = "598--605",

booktitle = "Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings",

note = "10th International Workshop on Digital Mammography, IWDM 2010 ; Conference date: 16-06-2010 Through 18-06-2010",

}

Hu, YH, Masiar, M & Zhao, W 2010, Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods. in Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6136 LNCS, pp. 598-605, 10th International Workshop on Digital Mammography, IWDM 2010, Girona, Catalonia, Spain, 06/16/10. https://doi.org/10.1007/978-3-642-13666-5_81

Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods. / Hu, Yue Houng; Masiar, Michael; Zhao, Wei.
Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings. 2010. p. 598-605 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6136 LNCS).

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

TY - GEN

T1 - Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods

AU - Hu, Yue Houng

AU - Masiar, Michael

AU - Zhao, Wei

PY - 2010

Y1 - 2010

N2 - Digital breast tomosynthesis (DBT) is being investigated to overcome the obscuring effect of overlapping breast tissue in projection mammography. To quantify the effectiveness of DBT in reducing overlapping breast structures, it is important to investigate how breast structural noise propagates during the reconstruction process. Others have found that breast structure may be characterized as power law noise of the form κ/ f β . We investigate how the power law exponent, β, varies as a function of reconstruction methods. Clinical DBT data sets were used to analyze breast structural noise in both projection and reconstructed domains using different filter schemes of a filtered back projection (FBP) reconstruction algorithm. The dependence on filter settings was compared with cascaded linear system theory. The goal this work is to combine frequency domain analysis of breast structural noise with previous work on quantum noise in DBT and develop a generalized framework to optimize DBT for breast lesion detection.

AB - Digital breast tomosynthesis (DBT) is being investigated to overcome the obscuring effect of overlapping breast tissue in projection mammography. To quantify the effectiveness of DBT in reducing overlapping breast structures, it is important to investigate how breast structural noise propagates during the reconstruction process. Others have found that breast structure may be characterized as power law noise of the form κ/ f β . We investigate how the power law exponent, β, varies as a function of reconstruction methods. Clinical DBT data sets were used to analyze breast structural noise in both projection and reconstructed domains using different filter schemes of a filtered back projection (FBP) reconstruction algorithm. The dependence on filter settings was compared with cascaded linear system theory. The goal this work is to combine frequency domain analysis of breast structural noise with previous work on quantum noise in DBT and develop a generalized framework to optimize DBT for breast lesion detection.

KW - NPS

KW - anatomical clutter

KW - digital breast tomosynthesis

KW - ideal observer model

KW - linear system model

UR - https://www.scopus.com/pages/publications/77954652817

U2 - 10.1007/978-3-642-13666-5_81

DO - 10.1007/978-3-642-13666-5_81

M3 - Conference contribution

SN - 3642136656

SN - 9783642136658

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

SP - 598

EP - 605

BT - Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings

T2 - 10th International Workshop on Digital Mammography, IWDM 2010

Y2 - 16 June 2010 through 18 June 2010

ER -

Hu YH, Masiar M, Zhao W. Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods. In Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings. 2010. p. 598-605. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-13666-5_81

Breast structural noise in digital breast tomosynthesis and its dependence on reconstruction methods

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