Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data

Julia Krüger; Jan Ehrhardt; Arpad Bischof; Heinz Handels

Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data

Julia Krüger, Jan Ehrhardt, Arpad Bischof, Heinz Handels

Abstract

Two-dimensional mammography is the major imaging modality in breast cancer detection. To overcome shortcomings like the projective nature of the imaging technique or poor contrast between tumorous and healthy bro-glandular tissue, contrast-enhanced MRI can be used additionally. The combined analysis and determination of corresponding structures in the acquired mammogram and MRI data is challenging due to large breast deformations during the image acquisition. In this paper, we evaluated a previously proposed method for breast compression simulation using an ICP-based B-spline registration. The evaluation, based on 14 MRI datasets with 19 corresponding mammograms, revealed an average distance of 4.40 mm between corresponding structures.

Original language	English
Pages	17-24
Publication status	Published - 08.2013
Event	Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013) - Toyoda Auditrium, Nagoya University, Nagoya, Japan Duration: 22.09.2013 → 26.09.2013 http://www.miccai2013.org/

Conference

Conference	Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)
Country/Territory	Japan
City	Nagoya
Period	22.09.13 → 26.09.13
Internet address	http://www.miccai2013.org/

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Krüger, J., Ehrhardt, J., Bischof, A., & Handels, H. (2013). Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data. 17-24. Paper presented at Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)
, Nagoya, Japan.

Krüger, Julia ; Ehrhardt, Jan ; Bischof, Arpad et al. / Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data. Paper presented at Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)
, Nagoya, Japan.

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title = "Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data",

abstract = "Two-dimensional mammography is the major imaging modality in breast cancer detection. To overcome shortcomings like the projective nature of the imaging technique or poor contrast between tumorous and healthy bro-glandular tissue, contrast-enhanced MRI can be used additionally. The combined analysis and determination of corresponding structures in the acquired mammogram and MRI data is challenging due to large breast deformations during the image acquisition. In this paper, we evaluated a previously proposed method for breast compression simulation using an ICP-based B-spline registration. The evaluation, based on 14 MRI datasets with 19 corresponding mammograms, revealed an average distance of 4.40 mm between corresponding structures.",

author = "Julia Kr{\"u}ger and Jan Ehrhardt and Arpad Bischof and Heinz Handels",

year = "2013",

month = aug,

language = "English",

pages = "17--24",

note = "Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)<br/> ; Conference date: 22-09-2013 Through 26-09-2013",

url = "http://www.miccai2013.org/",

}

Krüger, J, Ehrhardt, J , Bischof, A & Handels, H 2013, 'Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data', Paper presented at Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)
, Nagoya, Japan, 22.09.13 - 26.09.13 pp. 17-24.

Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data. / Krüger, Julia; Ehrhardt, Jan ; Bischof, Arpad et al.
2013. 17-24 Paper presented at Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)
, Nagoya, Japan.

Research output: Contribution to conference › Conference Papers › peer-review

TY - CONF

T1 - Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data

AU - Krüger, Julia

AU - Ehrhardt, Jan

AU - Bischof, Arpad

AU - Handels, Heinz

PY - 2013/8

Y1 - 2013/8

N2 - Two-dimensional mammography is the major imaging modality in breast cancer detection. To overcome shortcomings like the projective nature of the imaging technique or poor contrast between tumorous and healthy bro-glandular tissue, contrast-enhanced MRI can be used additionally. The combined analysis and determination of corresponding structures in the acquired mammogram and MRI data is challenging due to large breast deformations during the image acquisition. In this paper, we evaluated a previously proposed method for breast compression simulation using an ICP-based B-spline registration. The evaluation, based on 14 MRI datasets with 19 corresponding mammograms, revealed an average distance of 4.40 mm between corresponding structures.

AB - Two-dimensional mammography is the major imaging modality in breast cancer detection. To overcome shortcomings like the projective nature of the imaging technique or poor contrast between tumorous and healthy bro-glandular tissue, contrast-enhanced MRI can be used additionally. The combined analysis and determination of corresponding structures in the acquired mammogram and MRI data is challenging due to large breast deformations during the image acquisition. In this paper, we evaluated a previously proposed method for breast compression simulation using an ICP-based B-spline registration. The evaluation, based on 14 MRI datasets with 19 corresponding mammograms, revealed an average distance of 4.40 mm between corresponding structures.

UR - https://www.researchgate.net/publication/275517441_Evaluation_of_a_B-Spline-Based_Breast_Compression_Simulation_for_Correspondence_Analysis_between_MRI_and_Mammographic_Image_Data

UR - http://www.imi.uni-luebeck.de/en/content/evaluation-b-spline-based-breast-compression-simulation-correspondence-analysis-between-mri-

M3 - Conference Papers

SP - 17

EP - 24

T2 - Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)<br/>

Y2 - 22 September 2013 through 26 September 2013

ER -

Krüger J, Ehrhardt J , Bischof A , Handels H. Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data. 2013. Paper presented at Workshop on Breast Image Analysis - In conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)
, Nagoya, Japan.

Evaluation of a B-Spline-Based Breast Compression Simulation for Correspondence Analysis between MRI and Mammographic Image Data

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