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Conference Paper: Ultrasound myocardial elastography and registered 3D tagged MRI: Quantitative strain comparison
Title | Ultrasound myocardial elastography and registered 3D tagged MRI: Quantitative strain comparison |
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Authors | |
Issue Date | 2007 |
Publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ |
Citation | Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2007, v. 4791 LNCS PART 1, p. 800-808 How to Cite? |
Abstract | Ultrasound Myocardial Elastography (UME) and Tagged Magnetic Resonance Imaging (tMRI) are two imaging modalities that were developed in the recent years to quantitatively estimate the myocardial deformations. Tagged MRI is currently considered as the gold standard for myocardial strain mapping in vivo. However, despite the low SNR nature of ultrasound signals, echocardiography enjoys the widespread availability in the clinic, as well as its low cost and high temporal resolution. Comparing the strain estimation performances of the two techniques has been of great interests to the community. In order to assess the cardiac deformation across different imaging modalities, in this paper, we developed a semi-automatic intensity and gradient based registration framework that rigidly registers the 3D tagged MRIs with the 2D ultrasound images. Based on the two registered modalities, we conducted spatially and temporally more detailed quantitative strain comparison of the RF-based UME technique and tagged MRI. From the experimental results, we conclude that qualitatively the two modalities share similar overall trends. But error and variations in UME accumulate over time. Quantitatively tMRI is more robust and accurate than UME. © Springer-Verlag Berlin Heidelberg 2007. |
Persistent Identifier | http://hdl.handle.net/10722/167105 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Qian, Z | en_US |
dc.contributor.author | Lee, WN | en_US |
dc.contributor.author | Konofagou, EE | en_US |
dc.contributor.author | Metaxas, DN | en_US |
dc.contributor.author | Axel, L | en_US |
dc.date.accessioned | 2012-09-28T04:04:12Z | - |
dc.date.available | 2012-09-28T04:04:12Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.citation | Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2007, v. 4791 LNCS PART 1, p. 800-808 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/167105 | - |
dc.description.abstract | Ultrasound Myocardial Elastography (UME) and Tagged Magnetic Resonance Imaging (tMRI) are two imaging modalities that were developed in the recent years to quantitatively estimate the myocardial deformations. Tagged MRI is currently considered as the gold standard for myocardial strain mapping in vivo. However, despite the low SNR nature of ultrasound signals, echocardiography enjoys the widespread availability in the clinic, as well as its low cost and high temporal resolution. Comparing the strain estimation performances of the two techniques has been of great interests to the community. In order to assess the cardiac deformation across different imaging modalities, in this paper, we developed a semi-automatic intensity and gradient based registration framework that rigidly registers the 3D tagged MRIs with the 2D ultrasound images. Based on the two registered modalities, we conducted spatially and temporally more detailed quantitative strain comparison of the RF-based UME technique and tagged MRI. From the experimental results, we conclude that qualitatively the two modalities share similar overall trends. But error and variations in UME accumulate over time. Quantitatively tMRI is more robust and accurate than UME. © Springer-Verlag Berlin Heidelberg 2007. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
dc.title | Ultrasound myocardial elastography and registered 3D tagged MRI: Quantitative strain comparison | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Lee, WN: wnlee@hku.hk | en_US |
dc.identifier.authority | Lee, WN=rp01663 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-84883840405 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-38149142402&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 4791 LNCS | en_US |
dc.identifier.issue | PART 1 | en_US |
dc.identifier.spage | 800 | en_US |
dc.identifier.epage | 808 | en_US |
dc.publisher.place | Germany | en_US |
dc.identifier.scopusauthorid | Qian, Z=7201384454 | en_US |
dc.identifier.scopusauthorid | Lee, WN=22634980600 | en_US |
dc.identifier.scopusauthorid | Konofagou, EE=7005877325 | en_US |
dc.identifier.scopusauthorid | Metaxas, DN=7006359060 | en_US |
dc.identifier.scopusauthorid | Axel, L=7005506139 | en_US |
dc.identifier.issnl | 0302-9743 | - |