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

^*Awdur cyfatebol y gwaith hwn

University of Leeds
Frederiksberg Hospital
University of Genoa
Rigshospitalet

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (ISBN)

34 Dyfyniadau (Scopus)

Crynodeb

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.

Iaith wreiddiol	Saesneg
Teitl	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings
Cyhoeddwr	Springer Nature
Tudalennau	261-269
Nifer y tudalennau	9
Cyfrol	10
Argraffiad	PART 2
ISBN (Argraffiad)	9783540757580
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-540-75759-7_32
Statws	Cyhoeddwyd - 2007
Cyhoeddwyd yn allanol	Ie
Digwyddiad	10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Awstralia Hyd: 29 Hyd 2007 → 02 Tach 2007

Cyfres gyhoeddiadau

Enw	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Rhif	PART 2
Cyfrol	4792 LNCS
ISSN (Argraffiad)	0302-9743
ISSN (Electronig)	1611-3349

Cynhadledd

Cynhadledd	10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
Gwlad/Tiriogaeth	Awstralia
Dinas	Brisbane
Cyfnod	29 Hyd 2007 → 02 Tach 2007

Mynediad at Ddogfen

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

Cysylltiad parhaol

Dolen barhaus

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

Dyfynnu hyn

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. Yn Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings (PART 2 gol., Cyfrol 10, tt. 261-269). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Cyfrol 4792 LNCS, Rhif 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. Cyfrol 10 PART 2. gol. Springer Nature, 2007. tt. 261-269 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{f55110c002b043fc80da088ce112222c,

title = "Fast and robust analysis of dynamic contrast enhanced MRI datasets",

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.",

author = "Olga Kubassova and Mikael Boesen and Boyle, \{Roger D.\} and Cimmino, \{Marco A.\} and Jensen, \{Karl E.\} and Henning Bliddal and Alexandra Radjenovic",

year = "2007",

doi = "10.1007/978-3-540-75759-7\_32",

language = "English",

isbn = "9783540757580",

volume = "10",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "261--269",

booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings",

address = "Switzerland",

edition = "PART 2",

note = "10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 ; Conference date: 29-10-2007 Through 02-11-2007",

}

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. yn Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2 gol., cyfrol. 10, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), rhif PART 2, cyfrol. 4792 LNCS, Springer Nature, tt. 261-269, 10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Awstralia, 29 Hyd 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. Cyfrol 10 PART 2. gol. Springer Nature, 2007. t. 261-269 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Cyfrol 4792 LNCS, Rhif PART 2).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (ISBN)

TY - GEN

T1 - Fast and robust analysis of dynamic contrast enhanced MRI datasets

AU - Kubassova, Olga

AU - Boesen, Mikael

AU - Boyle, Roger D.

AU - Cimmino, Marco A.

AU - Jensen, Karl E.

AU - Bliddal, Henning

AU - Radjenovic, Alexandra

PY - 2007

Y1 - 2007

N2 - 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.

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. Yn Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2 gol. Cyfrol 10. Springer Nature. 2007. t. 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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