Image Registration of Structural and Physiological MR Images of Abnormal Anatomy

Andreas Mang; Oscar Camara; Gisele Brasil Caseiras; William R. Crum; Julia A. Schnabel; Thorsten M. Buzug; John Thornton; H. Rolf Jäger; David J. Hawkes

doi:10.1007/978-3-540-68764-1_35

Image Registration of Structural and Physiological MR Images of Abnormal Anatomy

Andreas Mang, Oscar Camara, Gisele Brasil Caseiras, William R. Crum, Julia A. Schnabel, Thorsten M. Buzug, John Thornton, H. Rolf Jäger, David J. Hawkes

Institute of Medical Engineering

University of London

Abstract

This study applies image registration techniques to combine functional and structural information derived from multi-modal magnetic resonance imaging in patients diagnosed with brain gliomas. The images vary substantially in resolution, signal-to-noise ratio, information content and field of view and therefore pose a challenging registration problem. Specific protocols have been designed for each registration task, with careful selection of critical parameters and appropriate pre-processing. In addition, we have developed a visual assessment protocol to evaluate the accuracy of the proposed methods. Preliminary results suggest that registrations errors are below the functional image resolutions, thus achieving sub-voxel accuracy.

Original language	English
Title of host publication	Advances in Medical Engineering
Editors	Thorsten M. Buzug, Dietrich Holz, Jens Bongartz, Matthias Kohl-Bareis, Ulrich Hartmann, Simone Weber
Number of pages	6
Volume	114
Place of Publication	Berlin, Heidelberg
Publisher	Springer Berlin Heidelberg
Publication date	01.01.2007
Pages	211-216
ISBN (Print)	978-3-540-68763-4
ISBN (Electronic)	978-3-540-68764-1
DOIs	https://doi.org/10.1007/978-3-540-68764-1_35
Publication status	Published - 01.01.2007

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

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10.1007/978-3-540-68764-1_35

Cite this

Mang, A., Camara, O., Caseiras, G. B., Crum, W. R., Schnabel, J. A., Buzug, T. M., Thornton, J., Jäger, H. R., & Hawkes, D. J. (2007). Image Registration of Structural and Physiological MR Images of Abnormal Anatomy. In T. M. Buzug, D. Holz, J. Bongartz, M. Kohl-Bareis, U. Hartmann, & S. Weber (Eds.), Advances in Medical Engineering (Vol. 114, pp. 211-216). (Springer Proceedings in Physics; Vol. 114). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-68764-1_35

Mang, Andreas ; Camara, Oscar ; Caseiras, Gisele Brasil et al. / Image Registration of Structural and Physiological MR Images of Abnormal Anatomy. Advances in Medical Engineering. editor / Thorsten M. Buzug ; Dietrich Holz ; Jens Bongartz ; Matthias Kohl-Bareis ; Ulrich Hartmann ; Simone Weber. Vol. 114 Berlin, Heidelberg : Springer Berlin Heidelberg, 2007. pp. 211-216 (Springer Proceedings in Physics).

@inproceedings{5cf8d313cae7400784f4c8a2b322a2e8,

title = "Image Registration of Structural and Physiological MR Images of Abnormal Anatomy",

abstract = "This study applies image registration techniques to combine functional and structural information derived from multi-modal magnetic resonance imaging in patients diagnosed with brain gliomas. The images vary substantially in resolution, signal-to-noise ratio, information content and field of view and therefore pose a challenging registration problem. Specific protocols have been designed for each registration task, with careful selection of critical parameters and appropriate pre-processing. In addition, we have developed a visual assessment protocol to evaluate the accuracy of the proposed methods. Preliminary results suggest that registrations errors are below the functional image resolutions, thus achieving sub-voxel accuracy.",

author = "Andreas Mang and Oscar Camara and Caseiras, \{Gisele Brasil\} and Crum, \{William R.\} and Schnabel, \{Julia A.\} and Buzug, \{Thorsten M.\} and John Thornton and J{\"a}ger, \{H. Rolf\} and Hawkes, \{David J.\}",

year = "2007",

month = jan,

day = "1",

doi = "10.1007/978-3-540-68764-1\_35",

language = "English",

isbn = "978-3-540-68763-4",

volume = "114",

series = "Springer Proceedings in Physics",

publisher = "Springer Berlin Heidelberg",

pages = "211--216",

editor = "Buzug, \{Thorsten M.\} and Dietrich Holz and Jens Bongartz and Matthias Kohl-Bareis and Ulrich Hartmann and Simone Weber",

booktitle = "Advances in Medical Engineering",

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Mang, A, Camara, O, Caseiras, GB, Crum, WR, Schnabel, JA, Buzug, TM, Thornton, J, Jäger, HR & Hawkes, DJ 2007, Image Registration of Structural and Physiological MR Images of Abnormal Anatomy. in TM Buzug, D Holz, J Bongartz, M Kohl-Bareis, U Hartmann & S Weber (eds), Advances in Medical Engineering. vol. 114, Springer Proceedings in Physics, vol. 114, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 211-216. https://doi.org/10.1007/978-3-540-68764-1_35

Image Registration of Structural and Physiological MR Images of Abnormal Anatomy. / Mang, Andreas; Camara, Oscar; Caseiras, Gisele Brasil et al.
Advances in Medical Engineering. ed. / Thorsten M. Buzug; Dietrich Holz; Jens Bongartz; Matthias Kohl-Bareis; Ulrich Hartmann; Simone Weber. Vol. 114 Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. p. 211-216 (Springer Proceedings in Physics; Vol. 114).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Image Registration of Structural and Physiological MR Images of Abnormal Anatomy

AU - Mang, Andreas

AU - Camara, Oscar

AU - Caseiras, Gisele Brasil

AU - Crum, William R.

AU - Schnabel, Julia A.

AU - Buzug, Thorsten M.

AU - Thornton, John

AU - Jäger, H. Rolf

AU - Hawkes, David J.

PY - 2007/1/1

Y1 - 2007/1/1

N2 - This study applies image registration techniques to combine functional and structural information derived from multi-modal magnetic resonance imaging in patients diagnosed with brain gliomas. The images vary substantially in resolution, signal-to-noise ratio, information content and field of view and therefore pose a challenging registration problem. Specific protocols have been designed for each registration task, with careful selection of critical parameters and appropriate pre-processing. In addition, we have developed a visual assessment protocol to evaluate the accuracy of the proposed methods. Preliminary results suggest that registrations errors are below the functional image resolutions, thus achieving sub-voxel accuracy.

AB - This study applies image registration techniques to combine functional and structural information derived from multi-modal magnetic resonance imaging in patients diagnosed with brain gliomas. The images vary substantially in resolution, signal-to-noise ratio, information content and field of view and therefore pose a challenging registration problem. Specific protocols have been designed for each registration task, with careful selection of critical parameters and appropriate pre-processing. In addition, we have developed a visual assessment protocol to evaluate the accuracy of the proposed methods. Preliminary results suggest that registrations errors are below the functional image resolutions, thus achieving sub-voxel accuracy.

UR - https://www.researchgate.net/publication/234127199_Image_Registration_of_Structural_and_Physiological_MR_Images_of_Abnormal_Anatomy

U2 - 10.1007/978-3-540-68764-1_35

DO - 10.1007/978-3-540-68764-1_35

M3 - Conference contribution

SN - 978-3-540-68763-4

VL - 114

T3 - Springer Proceedings in Physics

SP - 211

EP - 216

BT - Advances in Medical Engineering

A2 - Buzug, Thorsten M.

A2 - Holz, Dietrich

A2 - Bongartz, Jens

A2 - Kohl-Bareis, Matthias

A2 - Hartmann, Ulrich

A2 - Weber, Simone

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

ER -

Mang A, Camara O, Caseiras GB, Crum WR, Schnabel JA, Buzug TM et al. Image Registration of Structural and Physiological MR Images of Abnormal Anatomy. In Buzug TM, Holz D, Bongartz J, Kohl-Bareis M, Hartmann U, Weber S, editors, Advances in Medical Engineering. Vol. 114. Berlin, Heidelberg: Springer Berlin Heidelberg. 2007. p. 211-216. (Springer Proceedings in Physics). doi: 10.1007/978-3-540-68764-1_35

Image Registration of Structural and Physiological MR Images of Abnormal Anatomy

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