@inproceedings{5fff74aa3a49472a848bf26c71886f95,
title = "Level set segmentation of the fetal heart",
abstract = "Segmentation of the fetal heart can facilitate the 3D assessment of the cardiac function and structure. Ultrasound acquisition typically results in drop-out artifacts of the chamber walls. This paper presents a level set deformable model to simultaneously segment all four cardiac chambers using region based information. The segmented boundaries are automatically penalized from intersecting at walls with signal dropout. Root mean square errors of the perpendicular distances between the algorithm{\textquoteright}s delineation and manual tracings are within 7 pixels (<2mm) in 2D and under 3 voxels (<4.5mm) in 3D. The ejection fraction was determined from the 3D dataset. Future work will include further testing on additional datasets and validation on a phantom.",
author = "I. Dindoyal and T. Lambrou and J. Deng and C.F. Ruff and A.D. Linney and C.H. Rodeck and A. Todd-Pokropek",
note = "Dindoyal I. et al. (2005) Level Set Segmentation of the Fetal Heart. In: Frangi A.F., Radeva P.I., Santos A., Hernandez M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2005. Lecture Notes in Computer Science, vol 3504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494621_13 cited By 9",
year = "2005",
doi = "10.1007/11494621_13",
language = "English",
series = "Lecture Notes in Computer Science",
publisher = "Springer ",
pages = "123--132",
booktitle = "International Workshop on Functional Imaging and Modeling of the Heart",
}