Fast and robust analysis of dynamic contrast enhanced MRI datasets

Olga Kubassova; Mikael Boesen; Roger D. Boyle; Marco A. Cimmino; Karl E. Jensen; Henning Bliddal; Alexandra Radjenovic

doi:10.1007/978-3-540-75759-7_32

Fast and robust analysis of dynamic contrast enhanced MRI datasets

Olga Kubassova^*, Mikael Boesen, Roger D. Boyle, Marco A. Cimmino, Karl E. Jensen, Henning Bliddal, Alexandra Radjenovic

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

31 Citations (Scopus)

Abstract

A fully automated method for quantitative analysis of dynamic contrast-enhanced MRI data acquired with low and high field scanners, using spin echo and gradient echo sequences, depicting various joints is presented. The method incorporates efficient pre-processing techniques and a robust algorithm for quantitative assessment of dynamic signal intensity vs. time curves. It provides differentiated information to the reader regarding areas with the most active perfusion and permits depiction of different disease activity in separate compartments of a joint. Additionally, it provides information on the speed of contrast agent uptake by various tissues. The method delivers objective and easily reproducible results, which have been favourably viewed by a number of medical experts.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings
Publisher	Springer Nature
Pages	261-269
Number of pages	9
Volume	10
Edition	PART 2
ISBN (Print)	9783540757580
DOIs	https://doi.org/10.1007/978-3-540-75759-7_32
Publication status	Published - 2007
Externally published	Yes
Event	10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia Duration: 29 Oct 2007 → 02 Nov 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4792 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
Country/Territory	Australia
City	Brisbane
Period	29 Oct 2007 → 02 Nov 2007

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10.1007/978-3-540-75759-7_32

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Kubassova, O., Boesen, M., Boyle, R. D., Cimmino, M. A., Jensen, K. E., Bliddal, H., & Radjenovic, A. (2007). Fast and robust analysis of dynamic contrast enhanced MRI datasets. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings (PART 2 ed., Vol. 10, pp. 261-269). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4792 LNCS, No. PART 2). Springer Nature. https://doi.org/10.1007/978-3-540-75759-7_32

Kubassova, Olga ; Boesen, Mikael ; Boyle, Roger D. et al. / Fast and robust analysis of dynamic contrast enhanced MRI datasets. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. Vol. 10 PART 2. ed. Springer Nature, 2007. pp. 261-269 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Kubassova, O, Boesen, M, Boyle, RD, Cimmino, MA, Jensen, KE, Bliddal, H & Radjenovic, A 2007, Fast and robust analysis of dynamic contrast enhanced MRI datasets. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2 edn, vol. 10, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4792 LNCS, Springer Nature, pp. 261-269, 10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Australia, 29 Oct 2007. https://doi.org/10.1007/978-3-540-75759-7_32

Fast and robust analysis of dynamic contrast enhanced MRI datasets. / Kubassova, Olga; Boesen, Mikael; Boyle, Roger D. et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. Vol. 10 PART 2. ed. Springer Nature, 2007. p. 261-269 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4792 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

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AU - Boesen, Mikael

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AU - Radjenovic, Alexandra

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AB - A fully automated method for quantitative analysis of dynamic contrast-enhanced MRI data acquired with low and high field scanners, using spin echo and gradient echo sequences, depicting various joints is presented. The method incorporates efficient pre-processing techniques and a robust algorithm for quantitative assessment of dynamic signal intensity vs. time curves. It provides differentiated information to the reader regarding areas with the most active perfusion and permits depiction of different disease activity in separate compartments of a joint. Additionally, it provides information on the speed of contrast agent uptake by various tissues. The method delivers objective and easily reproducible results, which have been favourably viewed by a number of medical experts.

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Kubassova O, Boesen M, Boyle RD, Cimmino MA, Jensen KE, Bliddal H et al. Fast and robust analysis of dynamic contrast enhanced MRI datasets. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2 ed. Vol. 10. Springer Nature. 2007. p. 261-269. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-75759-7_32

Fast and robust analysis of dynamic contrast enhanced MRI datasets

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