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.
| Original language | English |
|---|---|
| Article number | 6293840 |
| Pages (from-to) | 3275-3276 |
| Number of pages | 2 |
| Journal | IEEE Sensors Journal |
| Volume | 12 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2012 |
Bibliographical 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.
Keywords
- Diffusion tensor fields
- magnetic resonance angiography (MRA)
- motion analysis
ASJC Scopus subject areas
- Instrumentation
- Electrical and Electronic Engineering