@inproceedings{293bed7020b14fab9c1c389b9d84dcae,
title = "Tracking atria and ventricles simultaneously from cardiac short- and long-axis MR images",
abstract = "We propose a new approach for tracking the cardiac motion by using simultaneously short-axis and long-axis MR images in non-rigid registration. The fusion of two image orientations allows to track more precisely the basal and apical movement of the ventricles. In addition, the motion of the atria is tracked. Correlation coefficients were 0:94 at the systolic phase and 0:97 at the diastolic phase as the volumes of manually and automatically detected chambers were compared. The results were obtained using 7 subjects.",
keywords = "volumetry, candiac tracking, tracking of heart, non-rigid registration",
author = "Jyrki L{\"o}tj{\"o}nen and D. Smutek and S. Kivist{\"o} and K. Lauerma",
note = "Project code: T3SU00308; Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 ; Conference date: 16-11-2003 Through 18-11-2003",
year = "2003",
doi = "10.1007/978-3-540-39899-8_58",
language = "English",
isbn = "978-3-540-20462-6",
volume = "1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "467--474",
editor = "Ellis, {Randy E.} and Peters, {Terry M.}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003",
address = "Germany",
}