Fully automatic left ventricular myocardial strain estimation in 2D short-axis tagged magnetic resonance imaging

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Morais, PedroKULeuven University of Leuven, Belgium; ICVS 3Bs PT Govt Associate Lab, Portugal; University of Porto, Portugal; University of Minho, Portugal (författare)

Fully automatic left ventricular myocardial strain estimation in 2D short-axis tagged magnetic resonance imaging

Artikel/kapitelEngelska2017

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2017-08-07
IOP PUBLISHING LTD,2017
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LIBRIS-ID:oai:DiVA.org:liu-140036
https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140036URI
https://doi.org/10.1088/1361-6560/aa7dc2DOI

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Språk:engelska
Sammanfattning på:engelska

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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]
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.

Ämnesord och genrebeteckningar

TEKNIK OCH TEKNOLOGIER Medicinteknik Medicinsk bildbehandling hsv//swe
ENGINEERING AND TECHNOLOGY Medical Engineering Medical Image Processing hsv//eng
tagged magnetic resonance imaging; fully automatic segmentation; non-rigid image registration; strain estimation

Biuppslag (personer, institutioner, konferenser, titlar ...)

Queiros, SandroKULeuven University of Leuven, Belgium; ICVS 3Bs PT Govt Associate Lab, Portugal; University of Minho, Portugal (författare)
Heyde, BrechtKULeuven University of Leuven, Belgium (författare)
Engvall, JanLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Fysiologiska kliniken US(Swepub:liu)janen74 (författare)
Dhooge, JanKULeuven University of Leuven, Belgium (författare)
Vilaca, Joao L.ICVS 3Bs PT Govt Associate Lab, Portugal; DIGARC Polytech Institute Cavado and Ave, Portugal (författare)
KULeuven University of Leuven, Belgium; ICVS 3Bs PT Govt Associate Lab, Portugal; University of Porto, Portugal; University of Minho, PortugalKULeuven University of Leuven, Belgium; ICVS 3Bs PT Govt Associate Lab, Portugal; University of Minho, Portugal (creator_code:org_t)

Sammanhörande titlar

Ingår i:Physics in Medicine and Biology: IOP PUBLISHING LTD62:17, s. 6899-69190031-91551361-6560

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Av författaren/redakt...: Morais, Pedro; Queiros, Sandro; Heyde, Brecht; Engvall, Jan; Dhooge, Jan; Vilaca, Joao L.

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TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Medicinteknik; och Medicinsk bildbe ...

Artiklar i publikationen: Physics in Medic ...

Av lärosätet: Linköpings universitet

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