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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04749naa a2200385 4500 | |
| 001 | oai:DiVA.org:liu-140036 | |
| 003 | SwePub | |
| 008 | 170829s2017 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1400362 URI |
| 024 | 7 | a https://doi.org/10.1088/1361-6560/aa7dc22 DOI |
| 040 | a (SwePub)liu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Morais, Pedrou KULeuven University of Leuven, Belgium; ICVS 3Bs PT Govt Associate Lab, Portugal; University of Porto, Portugal; University of Minho, Portugal4 aut |
| 245 | 1 0 | a Fully automatic left ventricular myocardial strain estimation in 2D short-axis tagged magnetic resonance imaging |
| 264 | c 2017-08-07 | |
| 264 | 1 | b IOP PUBLISHING LTD,c 2017 |
| 338 | a print2 rdacarrier | |
| 500 | a Funding Agencies|FCT-Fundacao para a Ciencia e a Tecnologia, Portugal [SFRH/BD/95438/2013, SFRH/BD/93443/2013]; European Social Found, European Union [SFRH/BD/95438/2013, SFRH/BD/93443/2013]; Programa Operacional Regional do Norte, Quadro de Referencia Estrategico Nacional, through Fundo Europeu de Desenvolvimento Regional (FEDER) [NORTE-07-0124-FEDER-000017, NORTE-01-0145-FEDER-000013]; EU (FP7) framework program [223615] | |
| 520 | a Cardiovascular diseases are among the leading causes of death and frequently result in local myocardial dysfunction. Among the numerous imaging modalities available to detect these dysfunctional regions, cardiac deformation imaging through tagged magnetic resonance imaging (t-MRI) has been an attractive approach. Nevertheless, fully automatic analysis of these data sets is still challenging. In this work, we present a fully automatic framework to estimate left ventricular myocardial deformation from t-MRI. This strategy performs automatic myocardial segmentation based on B-spline explicit active surfaces, which are initialized using an annular model. A non-rigid image-registration technique is then used to assess myocardial deformation. Three experiments were set up to validate the proposed framework using a clinical database of 75 patients. First, automatic segmentation accuracy was evaluated by comparing against manual delineations at one specific cardiac phase. The proposed solution showed an average perpendicular distance error of 2.35 +/- 1.21 mm and 2.27 +/- 1.02 mm for the endo- and epicardium, respectively. Second, starting from either manual or automatic segmentation, myocardial tracking was performed and the resulting strain curves were compared. It is shown that the automatic segmentation adds negligible differences during the strain-estimation stage, corroborating its accuracy. Finally, segmental strain was compared with scar tissue extent determined by delay-enhanced MRI. The results proved that both strain components were able to distinguish between normal and infarct regions. Overall, the proposed framework was shown to be accurate, robust, and attractive for clinical practice, as it overcomes several limitations of a manual analysis. | |
| 650 | 7 | a TEKNIK OCH TEKNOLOGIERx Medicinteknikx Medicinsk bildbehandling0 (SwePub)206032 hsv//swe |
| 650 | 7 | a ENGINEERING AND TECHNOLOGYx Medical Engineeringx Medical Image Processing0 (SwePub)206032 hsv//eng |
| 653 | a tagged magnetic resonance imaging; fully automatic segmentation; non-rigid image registration; strain estimation | |
| 700 | 1 | a Queiros, Sandrou KULeuven University of Leuven, Belgium; ICVS 3Bs PT Govt Associate Lab, Portugal; University of Minho, Portugal4 aut |
| 700 | 1 | a Heyde, Brechtu KULeuven University of Leuven, Belgium4 aut |
| 700 | 1 | a Engvall, Janu Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Fysiologiska kliniken US4 aut0 (Swepub:liu)janen74 |
| 700 | 1 | a Dhooge, Janu KULeuven University of Leuven, Belgium4 aut |
| 700 | 1 | a Vilaca, Joao L.u ICVS 3Bs PT Govt Associate Lab, Portugal; DIGARC Polytech Institute Cavado and Ave, Portugal4 aut |
| 710 | 2 | a KULeuven University of Leuven, Belgium; ICVS 3Bs PT Govt Associate Lab, Portugal; University of Porto, Portugal; University of Minho, Portugalb KULeuven University of Leuven, Belgium; ICVS 3Bs PT Govt Associate Lab, Portugal; University of Minho, Portugal4 org |
| 773 | 0 | t Physics in Medicine and Biologyd : IOP PUBLISHING LTDg 62:17, s. 6899-6919q 62:17<6899-6919x 0031-9155x 1361-6560 |
| 856 | 4 | u http://repositorium.sdum.uminho.pt/bitstream/1822/49901/1/2017%20moraisp_pmb.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140036 |
| 856 | 4 8 | u https://doi.org/10.1088/1361-6560/aa7dc2 |
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