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

Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung

12 Zitate (Scopus)

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.

Originalsprache	Englisch
Seiten (von - bis)	425-433
Seitenumfang	9
Fachzeitschrift	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Jahrgang	3504
DOIs	https://doi.org/10.1007/11494621_42
Publikationsstatus	Veröffentlicht - 2005
Extern publiziert	Ja
Veranstaltung	Third International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005 - Barcelona, Spanien Dauer: 2 Juni 2005 → 4 Juni 2005

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title = "Comparison of cardiac motion fields from tagged and untagged MR images using Nonrigid registration",

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.",

author = "Raghavendra Chandrashekara and Mohiaddin, {Raad H.} and Daniel Rueckert",

year = "2005",

doi = "10.1007/11494621_42",

language = "English",

volume = "3504",

pages = "425--433",

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

issn = "0302-9743",

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note = "Third International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005 ; Conference date: 02-06-2005 Through 04-06-2005",

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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), Jahrgang 3504, 2005, S. 425-433.

Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung

TY - JOUR

T1 - Comparison of cardiac motion fields from tagged and untagged MR images using Nonrigid registration

AU - Chandrashekara, Raghavendra

AU - Mohiaddin, Raad H.

AU - Rueckert, Daniel

PY - 2005

Y1 - 2005

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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DO - 10.1007/11494621_42

M3 - Conference article

AN - SCOPUS:24944487118

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

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

T2 - Third International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005

Y2 - 2 June 2005 through 4 June 2005

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

Abstract

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