Robust Vessel Segmentation Based on Multi-resolution Fuzzy Clustering

2008 ◽  
pp. 338-345
Author(s):  
Gang Yu ◽  
Pan Lin ◽  
Shengzhen Cai
Keyword(s):  
Fuzzy Clustering ◽  
Vessel Segmentation

scholarly journals Analysis of Glomerular Filtration Rate in Ischemic Cerebrovascular Diseases under the Magnetic Resonance Angiography Image Segmentation Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yong Ding ◽  
Yuebin Liu ◽  
Cong Peng ◽  
Huanmei Wang ◽  
Yuqin Xu ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Vessel Segmentation ◽  
Segmentation Algorithm ◽  
Arterial Stenosis ◽  
Blood Vessel Segmentation ◽  
Fuzzy Clustering Algorithm ◽  
Vessel Stenosis ◽  
Cv Model

In order to discuss the segmentation effect of the magnetic resonance angiography (MRA) image segmentation algorithm based on the fuzzy clustering algorithm and DR-CV model and the prognostic value of glomerular filtration rate (GFR) in the ischemic cerebrovascular disease (ICVD), a total of 178 patients who were admitted to the hospital and received MRA due to ICVD were selected as the research objects of this study. Blood vessel segmentation was performed on the MRA image by fuzzy clustering algorithm and DR-CV model, and all patients were divided into a control group (group A), a single-vessel stenosis group (group B), a two-vessel stenosis group (group C), and a multiple-vessel stenosis group (group D). The GFR was estimated by using the dietary modification equation for kidney disease, and the correlation between GFR and the severity of arterial stenosis in patients with ICVD was analyzed. It was found that the results of the Dice similarity index (DSI) of the MRA image blood vessel segmentation algorithm based on the fuzzy clustering algorithm and the integrated model of boundary and regional information (DR-CV model) were all above 85%. The age and GFR values of the four groups of patients were significantly different ( P  < 0.05). The proportions of patients in groups C and D in the group with low DFR were significantly different from those in groups A and B ( P  < 0.01); the proportions of patients in groups A and B in the high-level GFR group had extremely significant differences compared with group D ( P  < 0.01). Age, GFR, total cholesterol (TC), and high-density lipoprotein-C (HDL-C) were correlated with the degree of arterial stenosis ( P  < 0.05). It showed that the segmentation effect of MRA image blood vessel segmentation algorithm based on the fuzzy clustering algorithm and DR-CV model was better, and the GFR level can be used as an independent risk factor for the ICVD.

A fuzzy clustering vessel segmentation method incorporating line-direction information

2012 ◽  
Author(s):  
Zhimin Wang ◽  
Wei Xiong ◽  
Weimin Huang ◽  
Jiayin Zhou ◽  
Sudhakar K. Venkatesh
Keyword(s):  
Fuzzy Clustering ◽  
Vessel Segmentation ◽  
Segmentation Method ◽  
Direction Information ◽  
Line Direction

The Analysis of Traffic Flow State on Foggy Expressway Based on Fuzzy Clustering

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Jianjun Wang ◽  
Chenfeng Xie ◽  
Zhenwen Chang ◽  
Jingjing Zhang
Keyword(s):  
Traffic Flow ◽  
Fuzzy Clustering ◽  
Flow State

USING FUZZY CLUSTERING IN STRUCTURAL METHODS OF IMAGE CLASSIFICATION

2020 ◽  
Vol 79 (9) ◽  
pp. 781-791
Author(s):  
V. О. Gorokhovatskyi ◽  
I. S. Tvoroshenko ◽  
N. V. Vlasenko
Keyword(s):  
Image Classification ◽  
Fuzzy Clustering ◽  
Structural Methods

Adding-Point Strategy for Surrogate-Based Reduced-Order Hypersonic Aerothermodynamic Modeling Based on Fuzzy Clustering

2020 ◽  
pp. 1-10
Author(s):  
Xin Chen ◽  
Zhanwei Cao ◽  
Bin Fu ◽  
Xiaoliang Xu ◽  
Hao Yan ◽  
...  
Keyword(s):  
Fuzzy Clustering ◽  
Reduced Order
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