High resolution T1 estimation from multiple low resolution magnetic resonance images

Gwendolyn Van Steenkiste; Dirk H.J. Poot; Ben Jeurissen; Arnold J. Den Dekker; Jan Sijbers

doi:10.1109/ISBI.2015.7164048

High resolution T1 estimation from multiple low resolution magnetic resonance images

Gwendolyn Van Steenkiste, Dirk H.J. Poot, Ben Jeurissen, Arnold J. Den Dekker, Jan Sijbers

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

Abstract

Quantitative T₁ mapping is a magnetic resonance imaging technique in which the spin-lattice relaxation time of tissues is estimated. Even though T₁ mapping has a broad range of potential applications, it is not routinely used in clinical practice. The long acquisition time of the required set of high resolution T₁-weighted images, needed to obtain a precise high resolution T₁ map, is clinically infeasible. To improve the trade-off between the acquisition time, SNR and spatial resolution, we propose to combine super-resolution reconstruction with T₁ parameter estimation into one integrated method that estimates a high resolution T₁ map directly from a set of low resolution T₁-weighted images.

Original language	English
Title of host publication	2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
Publisher	IEEE Computer Society
Pages	1036-1039
Number of pages	4
ISBN (Electronic)	9781479923748
DOIs	https://doi.org/10.1109/ISBI.2015.7164048
Publication status	Published - 21 Jul 2015
Event	12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States Duration: 16 Apr 2015 → 19 Apr 2015

Publication series

Series	Proceedings - International Symposium on Biomedical Imaging
Volume	2015-July
ISSN	1945-7928

Conference

Conference	12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Country/Territory	United States
City	Brooklyn
Period	16/04/15 → 19/04/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/ISBI.2015.7164048

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title = "High resolution T1 estimation from multiple low resolution magnetic resonance images",

abstract = "Quantitative T1 mapping is a magnetic resonance imaging technique in which the spin-lattice relaxation time of tissues is estimated. Even though T1 mapping has a broad range of potential applications, it is not routinely used in clinical practice. The long acquisition time of the required set of high resolution T1-weighted images, needed to obtain a precise high resolution T1 map, is clinically infeasible. To improve the trade-off between the acquisition time, SNR and spatial resolution, we propose to combine super-resolution reconstruction with T1 parameter estimation into one integrated method that estimates a high resolution T1 map directly from a set of low resolution T1-weighted images.",

author = "{Van Steenkiste}, Gwendolyn and Poot, {Dirk H.J.} and Ben Jeurissen and {Den Dekker}, {Arnold J.} and Jan Sijbers",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 ; Conference date: 16-04-2015 Through 19-04-2015",

year = "2015",

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doi = "10.1109/ISBI.2015.7164048",

language = "English",

series = "Proceedings - International Symposium on Biomedical Imaging",

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Van Steenkiste, G, Poot, DHJ, Jeurissen, B, Den Dekker, AJ & Sijbers, J 2015, High resolution T1 estimation from multiple low resolution magnetic resonance images. in 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015., 7164048, IEEE Computer Society, Proceedings - International Symposium on Biomedical Imaging, vol. 2015-July, pp. 1036-1039, 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 16/04/15. https://doi.org/10.1109/ISBI.2015.7164048

High resolution T1 estimation from multiple low resolution magnetic resonance images. / Van Steenkiste, Gwendolyn; Poot, Dirk H.J.; Jeurissen, Ben et al.
2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, 2015. p. 1036-1039 7164048 (Proceedings - International Symposium on Biomedical Imaging, Vol. 2015-July).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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AU - Sijbers, Jan

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N2 - Quantitative T1 mapping is a magnetic resonance imaging technique in which the spin-lattice relaxation time of tissues is estimated. Even though T1 mapping has a broad range of potential applications, it is not routinely used in clinical practice. The long acquisition time of the required set of high resolution T1-weighted images, needed to obtain a precise high resolution T1 map, is clinically infeasible. To improve the trade-off between the acquisition time, SNR and spatial resolution, we propose to combine super-resolution reconstruction with T1 parameter estimation into one integrated method that estimates a high resolution T1 map directly from a set of low resolution T1-weighted images.

AB - Quantitative T1 mapping is a magnetic resonance imaging technique in which the spin-lattice relaxation time of tissues is estimated. Even though T1 mapping has a broad range of potential applications, it is not routinely used in clinical practice. The long acquisition time of the required set of high resolution T1-weighted images, needed to obtain a precise high resolution T1 map, is clinically infeasible. To improve the trade-off between the acquisition time, SNR and spatial resolution, we propose to combine super-resolution reconstruction with T1 parameter estimation into one integrated method that estimates a high resolution T1 map directly from a set of low resolution T1-weighted images.

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Van Steenkiste G, Poot DHJ, Jeurissen B, Den Dekker AJ, Sijbers J. High resolution T1 estimation from multiple low resolution magnetic resonance images. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society. 2015. p. 1036-1039. 7164048. (Proceedings - International Symposium on Biomedical Imaging, Vol. 2015-July). doi: 10.1109/ISBI.2015.7164048

High resolution T1 estimation from multiple low resolution magnetic resonance images

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