@article{86d565ec18de428caa3c19537a386e90,
title = "Motion analysis of magnetic resonance angiography image in diffusion tensor fields",
abstract = "This letter describes a methodology to analyze the motion of a magnetic resonance angiography (MRA) image. To efficiently investigate the complex shape of the anatomical or vascular structure from clinical images, we have iteratively merged and split the skeletal flow of the MRA image in the space of diffusion tensor fields. The proposed motion analysis methodology, which separates the flow into several skeletal sub-lines, plays an important role in examining the flow of the vascular structures.",
keywords = "Diffusion tensor fields, magnetic resonance angiography (MRA), motion analysis",
author = "Yoon, {Sang Min} and Han, {Jae Ho}",
note = "Funding Information: Manuscript received December 8, 2011; revised August 13, 2012; accepted August 19, 2012. Date of publication August 31, 2012; date of current version October 4, 2012. This work was supported in part by the World Class University Program funded by the Ministry of Education, Science, and Technology through the National Research Foundation of Korea under Program R31-10008, and the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science, and Technology under Program 2012-0003284. The associate editor coordinating the review of this letter and approving it for publication was Dr. Subhas C. Mukhopadhyay.",
year = "2012",
doi = "10.1109/JSEN.2012.2215024",
language = "English",
volume = "12",
pages = "3275--3276",
journal = "IEEE Sensors Journal",
issn = "1530-437X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "11",
}