Title :
MRA Images Identification of the Artery Blood Vessel of the Knee with SOM LVQ Neural Networks as Auxiliary
Author :
Huang, Hung-Chun ; Chien, Chia-Hung ; Shih, Ting-Fang ; Chong, Fok-Ching
Author_Institution :
Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei
Abstract :
The ways of angiography are divided into two kinds at present: the invasive type and the non invasive type. Because the magnetic resonance angiography (MRA) has advantages of the non invasive type, thus people can accept MRA more easily. Presently, to diagnoses for the initial stage triage of the blood vessel on clinic by MRA mostly. We to be allowed to see clearly that the shape of lower limb artery which like the dendrite and the blood vessel is thick from the trunk to the thin branch, also we can see the narrow embolism and the blocked place through MRA. This study aims to image the artery of blood vessel by MRA assay, and is attempting to use two-dimensional structure of SOM and LVQ to make out topologies for the shape of artery of blood vessel. We expect that MRA could be useful tools for earlier on the quick triage and auxiliary diagnosis of doctors. By actual examples truly prove that patients after peripheral arterial occlusive disease (PAOD) treatment can diagnose effectively, shorten the time of patients waiting for reports and improve the whole efficiency of the medical treatment system
Keywords :
biomedical MRI; blood vessels; diseases; learning (artificial intelligence); medical image processing; neural nets; MRA images identification; SOM LVQ neural networks; artery blood vessel; dendrite; embolism; knee; lower limb artery; magnetic resonance angiography; medical treatment system; peripheral arterial occlusive disease; Angiography; Arteries; Biomedical imaging; Blood vessels; Knee; Magnetic resonance; Medical treatment; Neural networks; Shape; Topology; LVQ; MRA; PAOD; SOM;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616698