Details

Autor(en) / Beteiligte

• Sun, Guanglu
• Liu, Shuai

Titel

Automated Segmentation of Carotid Artery Vessel Wall in MRI

Ist Teil von

• Advanced Hybrid Information Processing, 2018, Vol.219, p.275-286

Ort / Verlag

Switzerland: Springer International Publishing AG

Erscheinungsjahr

2018

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Automatic or semi-automatic segmentation of carotid artery wall in MRI is an important means of early detection of atherosclerosis. In this paper, a new algorithm is proposed for the automated segmentation of the lumen, outer boundary and plaque contours in carotid MR images. It uses the ellipse fitting to detect the outer wall boundaries. By using the outer wall boundaries as the constraint condition, the lumen is detected using an improved fuzzy C-Means (FCM). The plaque is located by obtaining the area changing of lumen. The experimental results show that our method achieves 95.7% of region overlaps when compared to the gold standard results. This new automated method can enhance reproducibility of the quantification of vessel wall dimensions in clinical studies.