Fast and Fully Automatic Left Ventricular Segmentation and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces

Funding Agencies|European Research Council under the European Union [281748]; FCT Fundacao para a Ciencia e a Tecnologia, Portugal [SFRH/BD/93443/2013]
Cardiac volume/function assessment remains a critical step in daily cardiology, and 3-D ultrasound plays an increasingly important role. Fully automatic left ventricular segmentation is, however, a challenging task due to the artifacts and low contrast-to-noise ratio of ultrasound imaging. In this paper, a fast and fully automatic framework for the full-cycle endocardial left ventricle segmentation is proposed. This approach couples the advantages of the B-spline explicit active surfaces framework, a purely image information approach, to those of statistical shape models to give prior information about the expected shape for an accurate segmentation. The segmentation is propagated throughout the heart cycle using a localized anatomical affine optical flow. It is shown that this approach not only outperforms other state-of-the-art methods in terms of distance metrics with a mean average distances of 1.81 +/- 0.59 and 1.98 +/- 0.66 mm at end-diastole and end-systole, respectively, but is computationally efficient (in average 11 s per 4-D image) and fully automatic.

NATURVETENSKAP Data- och informationsvetenskap Datorseende och robotik hsv//swe
NATURAL SCIENCES Computer and Information Sciences Computer Vision and Robotics hsv//eng
3-D echocardiography; left ventricle segmentation; B-spline explicit active surfaces; statistical shape model; localized anatomical affine optical flow

Queiros, SandroKatholieke University of Leuven, Belgium; University of Minho, Portugal; University of Minho, Portugal (author)
Bernard, OlivierUniversity of Lyon 1, France (author)
Engvall, JanLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Fysiologiska kliniken US(Swepub:liu)janen74 (author)
Edvardsen, ThorUniversity of Oslo, Norway; Oslo University Hospital, Norway (author)
Nagel, EikeUniversity Hospital Frankfurt Main, Germany (author)
Dhooge, JanKatholieke University of Leuven, Belgium (author)
Katholieke University of Leuven, BelgiumKatholieke University of Leuven, Belgium; University of Minho, Portugal; University of Minho, Portugal (creator_code:org_t)

In:IEEE Transactions on Medical Imaging: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC36:11, s. 2287-22960278-00621558-254X

By the author/editor: Pedrosa, Joao; Queiros, Sandro; Bernard, Olivier; Engvall, Jan; Edvardsen, Thor; Nagel, Eike; show more...; Dhooge, Jan; show less...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Vision ...

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