Comparison of cardiac motion fields from tagged and untagged MR images using Nonrigid registration

Raghavendra Chandrashekara; Raad H. Mohiaddin; Daniel Rueckert

doi:10.1007/11494621_42

Comparison of cardiac motion fields from tagged and untagged MR images using Nonrigid registration

Raghavendra Chandrashekara, Raad H. Mohiaddin, Daniel Rueckert

Research output: Contribution to journal › Conference article › peer-review

12 Scopus citations

Abstract

This paper presents a comparison of the motion fields computed from TrueFISP untagged and SPAMM tagged magnetic resonance (MR) images using a 4D nonrigid registration algorithm that we have developed for cardiac motion tracking [3]. Our results, which were obtained from a group of 7 normal volunteers, indicate that although there is a good correlation between the motion fields computed from the tagged and untagged MR images, some of the twisting motion is not captured in the motion fields derived from the TrueFISP MR images.

Original language	English
Pages (from-to)	425-433
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3504
DOIs	https://doi.org/10.1007/11494621_42
State	Published - 2005
Externally published	Yes
Event	Third International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005 - Barcelona, Spain Duration: 2 Jun 2005 → 4 Jun 2005

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abstract = "This paper presents a comparison of the motion fields computed from TrueFISP untagged and SPAMM tagged magnetic resonance (MR) images using a 4D nonrigid registration algorithm that we have developed for cardiac motion tracking [3]. Our results, which were obtained from a group of 7 normal volunteers, indicate that although there is a good correlation between the motion fields computed from the tagged and untagged MR images, some of the twisting motion is not captured in the motion fields derived from the TrueFISP MR images.",

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Comparison of cardiac motion fields from tagged and untagged MR images using Nonrigid registration. / Chandrashekara, Raghavendra; Mohiaddin, Raad H.; Rueckert, Daniel.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3504, 2005, p. 425-433.

Research output: Contribution to journal › Conference article › peer-review

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AU - Mohiaddin, Raad H.

AU - Rueckert, Daniel

PY - 2005

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N2 - This paper presents a comparison of the motion fields computed from TrueFISP untagged and SPAMM tagged magnetic resonance (MR) images using a 4D nonrigid registration algorithm that we have developed for cardiac motion tracking [3]. Our results, which were obtained from a group of 7 normal volunteers, indicate that although there is a good correlation between the motion fields computed from the tagged and untagged MR images, some of the twisting motion is not captured in the motion fields derived from the TrueFISP MR images.

AB - This paper presents a comparison of the motion fields computed from TrueFISP untagged and SPAMM tagged magnetic resonance (MR) images using a 4D nonrigid registration algorithm that we have developed for cardiac motion tracking [3]. Our results, which were obtained from a group of 7 normal volunteers, indicate that although there is a good correlation between the motion fields computed from the tagged and untagged MR images, some of the twisting motion is not captured in the motion fields derived from the TrueFISP MR images.

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Comparison of cardiac motion fields from tagged and untagged MR images using Nonrigid registration

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