Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series

Giovanni A Buonaccorsi; Caleb Roberts; Sue Cheung; Yvonne Watson; Karen Davies; Alan Jackson; Gordon C Jayson; Geoff J M Parker

Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series

Giovanni A Buonaccorsi, Caleb Roberts, Sue Cheung, Yvonne Watson, Karen Davies, Alan Jackson, Gordon C Jayson, Geoff J M Parker

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

Abstract

Motion during time-series data acquisition causes model-fitting errors in quantitative dynamic contrast-enhanced (DCE) MRI studies. Motion correction techniques using conventional registration cost functions may produce biased results because they were not designed to deal with the time-varying information content due to contrast enhancement. We present a locally-controlled, 3D translational registration process driven by tracer kinetic modeling that successfully registers abdominal DCE-MRI data at high temporal resolution and compare this method to a similar approach based on registration to the time series mean image in data from 8 patients. When the registration is driven by an appropriate model, we find significant improvements in model-fitting. Also, model-driven registration influences parameter estimates and reduces repeat study variability in measurements of blood volume.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005
Subtitle of host publication	8th International Conference of Medical Image Computing and Computer-Assisted Intervention
Editors	J. S. Duncan , G Gerig
Place of Publication	Berlin
Publisher	Springer Nature
Pages	91-98
Number of pages	9
Volume	1
ISBN (Print)	978-3-540-29327-9
Publication status	Published - 2005
Event	8th International Conference of Medical Image Computing and Computer-Assisted Intervention - Palm Springs, United States Duration: 26 Oct 2005 → 29 Oct 2005

Publication series

Name	Lecture Notes in Computer Science
Number	3749

Conference

Conference	8th International Conference of Medical Image Computing and Computer-Assisted Intervention
Abbreviated title	MICCAI'05
Country/Territory	United States
City	Palm Springs
Period	26/10/05 → 29/10/05

Keywords

Abdomen
Algorithms
Contrast Media
Humans
Image Enhancement
Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Kinetics
Magnetic Resonance Imaging
Models, Biological
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique
Clinical Trial
Journal Article
Research Support, Non-U.S. Gov't

Cite this

Buonaccorsi, G. A., Roberts, C., Cheung, S., Watson, Y., Davies, K., Jackson, A., Jayson, G. C., & Parker, G. J. M. (2005). Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series. In J. S. Duncan , & G. Gerig (Eds.), Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005: 8th International Conference of Medical Image Computing and Computer-Assisted Intervention (Vol. 1, pp. 91-98). ( Lecture Notes in Computer Science; No. 3749). Springer Nature.

Buonaccorsi, Giovanni A ; Roberts, Caleb ; Cheung, Sue et al. / Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series. Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005: 8th International Conference of Medical Image Computing and Computer-Assisted Intervention. editor / J. S. Duncan ; G Gerig. Vol. 1 Berlin : Springer Nature, 2005. pp. 91-98 ( Lecture Notes in Computer Science; 3749).

@inbook{d9cf797af6a6420f96ab7c816c8138cd,

title = "Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series",

abstract = "Motion during time-series data acquisition causes model-fitting errors in quantitative dynamic contrast-enhanced (DCE) MRI studies. Motion correction techniques using conventional registration cost functions may produce biased results because they were not designed to deal with the time-varying information content due to contrast enhancement. We present a locally-controlled, 3D translational registration process driven by tracer kinetic modeling that successfully registers abdominal DCE-MRI data at high temporal resolution and compare this method to a similar approach based on registration to the time series mean image in data from 8 patients. When the registration is driven by an appropriate model, we find significant improvements in model-fitting. Also, model-driven registration influences parameter estimates and reduces repeat study variability in measurements of blood volume.",

keywords = "Abdomen, Algorithms, Contrast Media, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Kinetics, Magnetic Resonance Imaging, Models, Biological, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Clinical Trial, Journal Article, Research Support, Non-U.S. Gov't",

author = "Buonaccorsi, {Giovanni A} and Caleb Roberts and Sue Cheung and Yvonne Watson and Karen Davies and Alan Jackson and Jayson, {Gordon C} and Parker, {Geoff J M}",

year = "2005",

language = "English",

isbn = "978-3-540-29327-9",

volume = "1",

series = " Lecture Notes in Computer Science",

publisher = "Springer Nature",

number = "3749",

pages = "91--98",

editor = "{Duncan }, {J. S.} and G Gerig",

booktitle = "Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005",

address = "United States",

note = "8th International Conference of Medical Image Computing and Computer-Assisted Intervention, MICCAI'05 ; Conference date: 26-10-2005 Through 29-10-2005",

}

Buonaccorsi, GA, Roberts, C, Cheung, S, Watson, Y, Davies, K, Jackson, A , Jayson, GC & Parker, GJM 2005, Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series. in JS Duncan & G Gerig (eds), Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005: 8th International Conference of Medical Image Computing and Computer-Assisted Intervention. vol. 1, Lecture Notes in Computer Science, no. 3749, Springer Nature, Berlin, pp. 91-98, 8th International Conference of Medical Image Computing and Computer-Assisted Intervention, Palm Springs, California, United States, 26/10/05.

Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series. / Buonaccorsi, Giovanni A; Roberts, Caleb; Cheung, Sue et al.
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005: 8th International Conference of Medical Image Computing and Computer-Assisted Intervention. ed. / J. S. Duncan ; G Gerig. Vol. 1 Berlin: Springer Nature, 2005. p. 91-98 ( Lecture Notes in Computer Science; No. 3749).

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

TY - CHAP

T1 - Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series

AU - Buonaccorsi, Giovanni A

AU - Roberts, Caleb

AU - Cheung, Sue

AU - Watson, Yvonne

AU - Davies, Karen

AU - Jackson, Alan

AU - Jayson, Gordon C

AU - Parker, Geoff J M

PY - 2005

Y1 - 2005

N2 - Motion during time-series data acquisition causes model-fitting errors in quantitative dynamic contrast-enhanced (DCE) MRI studies. Motion correction techniques using conventional registration cost functions may produce biased results because they were not designed to deal with the time-varying information content due to contrast enhancement. We present a locally-controlled, 3D translational registration process driven by tracer kinetic modeling that successfully registers abdominal DCE-MRI data at high temporal resolution and compare this method to a similar approach based on registration to the time series mean image in data from 8 patients. When the registration is driven by an appropriate model, we find significant improvements in model-fitting. Also, model-driven registration influences parameter estimates and reduces repeat study variability in measurements of blood volume.

AB - Motion during time-series data acquisition causes model-fitting errors in quantitative dynamic contrast-enhanced (DCE) MRI studies. Motion correction techniques using conventional registration cost functions may produce biased results because they were not designed to deal with the time-varying information content due to contrast enhancement. We present a locally-controlled, 3D translational registration process driven by tracer kinetic modeling that successfully registers abdominal DCE-MRI data at high temporal resolution and compare this method to a similar approach based on registration to the time series mean image in data from 8 patients. When the registration is driven by an appropriate model, we find significant improvements in model-fitting. Also, model-driven registration influences parameter estimates and reduces repeat study variability in measurements of blood volume.

KW - Abdomen

KW - Algorithms

KW - Contrast Media

KW - Humans

KW - Image Enhancement

KW - Image Interpretation, Computer-Assisted

KW - Imaging, Three-Dimensional

KW - Kinetics

KW - Magnetic Resonance Imaging

KW - Models, Biological

KW - Reproducibility of Results

KW - Sensitivity and Specificity

KW - Subtraction Technique

KW - Clinical Trial

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

M3 - Chapter

C2 - 16685833

SN - 978-3-540-29327-9

VL - 1

T3 - Lecture Notes in Computer Science

SP - 91

EP - 98

BT - Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005

A2 - Duncan , J. S.

A2 - Gerig, G

PB - Springer Nature

CY - Berlin

T2 - 8th International Conference of Medical Image Computing and Computer-Assisted Intervention

Y2 - 26 October 2005 through 29 October 2005

ER -

Buonaccorsi GA, Roberts C, Cheung S, Watson Y, Davies K, Jackson A et al. Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series. In Duncan JS, Gerig G, editors, Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005: 8th International Conference of Medical Image Computing and Computer-Assisted Intervention. Vol. 1. Berlin: Springer Nature. 2005. p. 91-98. ( Lecture Notes in Computer Science; 3749).

Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series

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Publication series

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Keywords

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Cite this