Quantifying breast thickness for density measurement

Jennifer Diffey; Alan Hufton; Christine Beeston; Julia Smith; Tom Marchant; Susan Astley

doi:10.1007/978-3-540-70538-3_90

Quantifying breast thickness for density measurement

Jennifer Diffey, Alan Hufton, Christine Beeston, Julia Smith, Tom Marchant, Susan Astley

Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

The largest source of error in the estimation of volumetric breast density typically arises from inaccuracies in the measurement of breast thickness. We present a method which accounts for paddle tilt and show that the variation within the compressed breast region may be as much as 21.2mm in the chest wall to nipple direction. The system-indicated value of breast thickness results in an average underestimation of compressed breast volume of 10.5% which has implications for density measurement. Paddle deformation in the lateral direction is shown to be insignificant in comparison. A method of modelling the thickness at the breast periphery is presented with examples of the thickness maps generated. © 2008 Springer-Verlag Berlin Heidelberg.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Pages	651-658
Number of pages	7
Volume	5116
DOIs	https://doi.org/10.1007/978-3-540-70538-3_90
Publication status	Published - 2008
Event	9th International Workshop on Digital Mammography, IWDM 2008 - Tucson, AZ Duration: 1 Jul 2008 → …

Conference

Conference	9th International Workshop on Digital Mammography, IWDM 2008
City	Tucson, AZ
Period	1/07/08 → …

Keywords

Breast density
Thickness

Access to Document

10.1007/978-3-540-70538-3_90

Cite this

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title = "Quantifying breast thickness for density measurement",

abstract = "The largest source of error in the estimation of volumetric breast density typically arises from inaccuracies in the measurement of breast thickness. We present a method which accounts for paddle tilt and show that the variation within the compressed breast region may be as much as 21.2mm in the chest wall to nipple direction. The system-indicated value of breast thickness results in an average underestimation of compressed breast volume of 10.5% which has implications for density measurement. Paddle deformation in the lateral direction is shown to be insignificant in comparison. A method of modelling the thickness at the breast periphery is presented with examples of the thickness maps generated. {\textcopyright} 2008 Springer-Verlag Berlin Heidelberg.",

keywords = "Breast density, Thickness",

author = "Jennifer Diffey and Alan Hufton and Christine Beeston and Julia Smith and Tom Marchant and Susan Astley",

note = "10.1007/978-3-540-70538-3_90; 9th International Workshop on Digital Mammography, IWDM 2008 ; Conference date: 01-07-2008",

year = "2008",

doi = "10.1007/978-3-540-70538-3_90",

language = "English",

isbn = "3540705376",

volume = "5116",

pages = "651--658",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.",

}

Diffey, J, Hufton, A, Beeston, C, Smith, J, Marchant, T & Astley, S 2008, Quantifying breast thickness for density measurement. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 5116, pp. 651-658, 9th International Workshop on Digital Mammography, IWDM 2008, Tucson, AZ, 1/07/08. https://doi.org/10.1007/978-3-540-70538-3_90

Quantifying breast thickness for density measurement. / Diffey, Jennifer; Hufton, Alan; Beeston, Christine et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 5116 2008. p. 651-658.

Research output: Chapter in Book/Conference proceeding › Conference contribution

TY - GEN

T1 - Quantifying breast thickness for density measurement

AU - Diffey, Jennifer

AU - Hufton, Alan

AU - Beeston, Christine

AU - Smith, Julia

AU - Marchant, Tom

AU - Astley, Susan

N1 - 10.1007/978-3-540-70538-3_90

PY - 2008

Y1 - 2008

N2 - The largest source of error in the estimation of volumetric breast density typically arises from inaccuracies in the measurement of breast thickness. We present a method which accounts for paddle tilt and show that the variation within the compressed breast region may be as much as 21.2mm in the chest wall to nipple direction. The system-indicated value of breast thickness results in an average underestimation of compressed breast volume of 10.5% which has implications for density measurement. Paddle deformation in the lateral direction is shown to be insignificant in comparison. A method of modelling the thickness at the breast periphery is presented with examples of the thickness maps generated. © 2008 Springer-Verlag Berlin Heidelberg.

AB - The largest source of error in the estimation of volumetric breast density typically arises from inaccuracies in the measurement of breast thickness. We present a method which accounts for paddle tilt and show that the variation within the compressed breast region may be as much as 21.2mm in the chest wall to nipple direction. The system-indicated value of breast thickness results in an average underestimation of compressed breast volume of 10.5% which has implications for density measurement. Paddle deformation in the lateral direction is shown to be insignificant in comparison. A method of modelling the thickness at the breast periphery is presented with examples of the thickness maps generated. © 2008 Springer-Verlag Berlin Heidelberg.

KW - Breast density

KW - Thickness

U2 - 10.1007/978-3-540-70538-3_90

DO - 10.1007/978-3-540-70538-3_90

M3 - Conference contribution

SN - 3540705376

SN - 9783540705376

VL - 5116

SP - 651

EP - 658

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.

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

Y2 - 1 July 2008

ER -

Quantifying breast thickness for density measurement

Abstract

Conference

Keywords

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