A fast, segmentation-free, method for constructing a biomechanical model of the breast from DCE-MRI data

Andrew Hill; Andrew Mehnert; Stuart Crozier

doi:10.1109/DICTA.2008.95

A fast, segmentation-free, method for constructing a biomechanical model of the breast from DCE-MRI data

Andrew Hill, Andrew Mehnert, Stuart Crozier

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

1 Citation (Scopus)

Abstract

This paper presents a method for constructing a biomechanical breast model which does not require an initial time- and labour-intensive segmentation of the breast tissue. This is achieved by mapping voxel intensity and enhancement levels directly to Young's modulus values characteristic of the respective tissues. We demonstrate this new method by incorporating it into a biomechanically based registration evaluation framework, which produces qualitatively the same results as a segmentation based model.

Original language	English
Title of host publication	Proceedings - Digital Image Computing
Subtitle of host publication	Techniques and Applications, DICTA 2008
Pages	386-391
Number of pages	6
DOIs	https://doi.org/10.1109/DICTA.2008.95
Publication status	Published - 1 Dec 2008
Externally published	Yes
Event	Digital Image Computing: Techniques and Applications, DICTA 2008 - Canberra, ACT, Australia Duration: 1 Dec 2008 → 3 Dec 2008

Conference

Conference	Digital Image Computing: Techniques and Applications, DICTA 2008
Country/Territory	Australia
City	Canberra, ACT
Period	1/12/08 → 3/12/08

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10.1109/DICTA.2008.95

Cite this

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title = "A fast, segmentation-free, method for constructing a biomechanical model of the breast from DCE-MRI data",

abstract = "This paper presents a method for constructing a biomechanical breast model which does not require an initial time- and labour-intensive segmentation of the breast tissue. This is achieved by mapping voxel intensity and enhancement levels directly to Young's modulus values characteristic of the respective tissues. We demonstrate this new method by incorporating it into a biomechanically based registration evaluation framework, which produces qualitatively the same results as a segmentation based model.",

author = "Andrew Hill and Andrew Mehnert and Stuart Crozier",

year = "2008",

month = dec,

day = "1",

doi = "10.1109/DICTA.2008.95",

language = "English",

isbn = "9780769534565",

pages = "386--391",

booktitle = "Proceedings - Digital Image Computing",

note = "Digital Image Computing: Techniques and Applications, DICTA 2008 ; Conference date: 01-12-2008 Through 03-12-2008",

}

Hill, A, Mehnert, A & Crozier, S 2008, A fast, segmentation-free, method for constructing a biomechanical model of the breast from DCE-MRI data. in Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008., 4700047, pp. 386-391, Digital Image Computing: Techniques and Applications, DICTA 2008, Canberra, ACT, Australia, 1/12/08. https://doi.org/10.1109/DICTA.2008.95

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AU - Mehnert, Andrew

AU - Crozier, Stuart

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N2 - This paper presents a method for constructing a biomechanical breast model which does not require an initial time- and labour-intensive segmentation of the breast tissue. This is achieved by mapping voxel intensity and enhancement levels directly to Young's modulus values characteristic of the respective tissues. We demonstrate this new method by incorporating it into a biomechanically based registration evaluation framework, which produces qualitatively the same results as a segmentation based model.

AB - This paper presents a method for constructing a biomechanical breast model which does not require an initial time- and labour-intensive segmentation of the breast tissue. This is achieved by mapping voxel intensity and enhancement levels directly to Young's modulus values characteristic of the respective tissues. We demonstrate this new method by incorporating it into a biomechanically based registration evaluation framework, which produces qualitatively the same results as a segmentation based model.

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M3 - Conference paper

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BT - Proceedings - Digital Image Computing

T2 - Digital Image Computing: Techniques and Applications, DICTA 2008

Y2 - 1 December 2008 through 3 December 2008

ER -

A fast, segmentation-free, method for constructing a biomechanical model of the breast from DCE-MRI data

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