Title :
Motion Analysis of Magnetic Resonance Angiography Image in Diffusion Tensor Fields
Author :
Yoon, Sang Min ; Han, Jae-Ho
Author_Institution :
Sch. of Comput. Sci., Kookmin Univ., Seoul, South Korea
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 :
biodiffusion; biomedical MRI; blood; bone; brain; flow visualisation; haemodynamics; haemorheology; image motion analysis; image sequences; medical image processing; anatomical structure; blood flow visualisation; brain slice image sequence; clinical images; diffusion tensor fields; magnetic resonance angiography image; motion analysis; skeletal flow of; skeletal sublines; vascular structure; Angiography; Feature extraction; Magnetic resonance; Skeleton; Tensile stress; Vectors; Visualization; Diffusion tensor fields; magnetic resonance angiography (MRA); motion analysis;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2012.2215024
