Quantification of DCE-MRI: A validation of three techniques with 3D-histology

Karin Bol; Joost C. Haeck; Lejla Alic; Wiro J. Niessen; Marion De Jong; Monique Bernsen; Jifke F. Veenland

doi:10.1109/ISBI.2012.6235737

Quantification of DCE-MRI: A validation of three techniques with 3D-histology

Karin Bol^*, Joost C. Haeck, Lejla Alic, Wiro J. Niessen, Marion De Jong, Monique Bernsen, Jifke F. Veenland

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Three different DCE-MRI quantification methods: model-free-based, compartment-model-based and principal component analysis, are compared by evaluating parameter maps for histological defined volumes of vital and non-vital tumor tissue. To obtain an accurate spatial correspondence between histology and DCE-MRI, a two-step registration process was used involving dense histological sampling, a reference plane and an intermediate ex vivo MRI. Results show that the model-free parameter washout and the second principal component score can adequately separate vital from non-vital tumor tissue, with an accuracy of respectively 99.2% and 99.7%. The other model-free parameters and the compartment-model-based Ktrans show some overlap in values between vital and non-vital tissue. The first, third and fourth pc-score have limited discriminative power.

Original language	English
Title of host publication	2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2012 - Proceedings
Pages	1044-1047
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2012.6235737
Publication status	Published - 15 Aug 2012
Externally published	Yes
Event	2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain Duration: 2 May 2012 → 5 May 2012 Conference number: 9

Conference

Conference	2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Abbreviated title	ISBI 2012
Country/Territory	Spain
City	Barcelona
Period	2/05/12 → 5/05/12

Keywords

DCE-MRI
histology
model-free analysis
Principal Component Analysis
standard Tofts model

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10.1109/ISBI.2012.6235737

Cite this

@inproceedings{87dd01c32aec4d80a9cd9c37ade0cb1e,

title = "Quantification of DCE-MRI: A validation of three techniques with 3D-histology",

abstract = "Three different DCE-MRI quantification methods: model-free-based, compartment-model-based and principal component analysis, are compared by evaluating parameter maps for histological defined volumes of vital and non-vital tumor tissue. To obtain an accurate spatial correspondence between histology and DCE-MRI, a two-step registration process was used involving dense histological sampling, a reference plane and an intermediate ex vivo MRI. Results show that the model-free parameter washout and the second principal component score can adequately separate vital from non-vital tumor tissue, with an accuracy of respectively 99.2% and 99.7%. The other model-free parameters and the compartment-model-based Ktrans show some overlap in values between vital and non-vital tissue. The first, third and fourth pc-score have limited discriminative power.",

keywords = "DCE-MRI, histology, model-free analysis, Principal Component Analysis, standard Tofts model",

author = "Karin Bol and Haeck, {Joost C.} and Lejla Alic and Niessen, {Wiro J.} and {De Jong}, Marion and Monique Bernsen and Veenland, {Jifke F.}",

year = "2012",

month = aug,

day = "15",

doi = "10.1109/ISBI.2012.6235737",

language = "English",

isbn = "9781457718588",

pages = "1044--1047",

booktitle = "2012 9th IEEE International Symposium on Biomedical Imaging",

note = "2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, ISBI 2012 ; Conference date: 02-05-2012 Through 05-05-2012",

}

Bol, K, Haeck, JC, Alic, L, Niessen, WJ, De Jong, M, Bernsen, M & Veenland, JF 2012, Quantification of DCE-MRI: A validation of three techniques with 3D-histology. in 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings., 6235737, pp. 1044-1047, 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012, Barcelona, Spain, 2/05/12. https://doi.org/10.1109/ISBI.2012.6235737

Quantification of DCE-MRI: A validation of three techniques with 3D-histology. / Bol, Karin; Haeck, Joost C.; Alic, Lejla et al.
2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Proceedings. 2012. p. 1044-1047 6235737.

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

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T2 - 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012

AU - Bol, Karin

AU - Haeck, Joost C.

AU - Alic, Lejla

AU - Niessen, Wiro J.

AU - De Jong, Marion

AU - Bernsen, Monique

AU - Veenland, Jifke F.

N1 - Conference code: 9

PY - 2012/8/15

Y1 - 2012/8/15

N2 - Three different DCE-MRI quantification methods: model-free-based, compartment-model-based and principal component analysis, are compared by evaluating parameter maps for histological defined volumes of vital and non-vital tumor tissue. To obtain an accurate spatial correspondence between histology and DCE-MRI, a two-step registration process was used involving dense histological sampling, a reference plane and an intermediate ex vivo MRI. Results show that the model-free parameter washout and the second principal component score can adequately separate vital from non-vital tumor tissue, with an accuracy of respectively 99.2% and 99.7%. The other model-free parameters and the compartment-model-based Ktrans show some overlap in values between vital and non-vital tissue. The first, third and fourth pc-score have limited discriminative power.

AB - Three different DCE-MRI quantification methods: model-free-based, compartment-model-based and principal component analysis, are compared by evaluating parameter maps for histological defined volumes of vital and non-vital tumor tissue. To obtain an accurate spatial correspondence between histology and DCE-MRI, a two-step registration process was used involving dense histological sampling, a reference plane and an intermediate ex vivo MRI. Results show that the model-free parameter washout and the second principal component score can adequately separate vital from non-vital tumor tissue, with an accuracy of respectively 99.2% and 99.7%. The other model-free parameters and the compartment-model-based Ktrans show some overlap in values between vital and non-vital tissue. The first, third and fourth pc-score have limited discriminative power.

KW - DCE-MRI

KW - histology

KW - model-free analysis

KW - Principal Component Analysis

KW - standard Tofts model

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BT - 2012 9th IEEE International Symposium on Biomedical Imaging

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ER -

Quantification of DCE-MRI: A validation of three techniques with 3D-histology

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Keywords

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