A Novel Method for Vessel Segmentation and Automatic Diagnosis of Vascular Stenosis

Author(s):  
Chenxin Sui ◽  
Zhuang Fu ◽  
Zeyu Fu ◽  
Yao Wang ◽  
Yu Zhuang ◽  
...  
2020 ◽  
Vol 10 (2) ◽  
pp. 446-451
Author(s):  
Wu Deng ◽  
Kai Luo ◽  
Qinke Shi ◽  
Yi Yang ◽  
Ning Ning

Although great progress has been made in vessel segmentation, the existing methods still can not accurately segment small vessels. A novel vessel segmentation and automatic diagnosis in coronary angiography image was proposed. During vessel segmentation, a new vessel function based on Hessian matrix was put forward. Then the vessel contour was extracted by the dual-stage region growing with automatic selection of seed point. Next, the automatic diagnosis was realized by vessel skeleton extraction, skeleton point search and diameter measurement. The experimental results demonstrate that our proposed vessel segmentation can extract the main branch contour accurately and have a good effect on the enhancement and segmentation of small vessels. The automatic diagnosis of vessel stenosis is fast. With a relatively accurate diagnosis result, it can provide a good reference and quantitative basis for the final judgment of the doctor.


2017 ◽  
Vol 36 (11) ◽  
pp. 2216-2227 ◽  
Author(s):  
Yuhe Li ◽  
Zhendong Qiao ◽  
Shaoqin Zhang ◽  
Zhenhuan Wu ◽  
Xueqin Mao ◽  
...  

2007 ◽  
Vol 07 (01) ◽  
pp. 159-176 ◽  
Author(s):  
WENLI CAI ◽  
GORDON J. HARRIS ◽  
HIROYUKI YOSHIDA

With the rapid development of multi-detector computed tomography (MDCT) that results in improving the temporal and spatial resolution of patient data, clinical use of computed tomographic angiography (CTA) is increasing. Vessel segmentation can be challenging in CTA, but is needed for isolation of vascular structures. In this paper, a novel method for computation of vesselness in CTA images is presented, including a CTA transfer function prior to the vesselness computation for reducing the artifacts caused by the false-positive responses of a Hessian-based line filter, as well as a hierarchical structure, called MIP-volume pyramid, for accelerating the computation of vesselness. Using the computed vesselness, we present an interactive segmentation method for each individual vessel by applying a vesselness speed function in a fast marching level set method. Our new method was shown to provide an effective and efficient way that allows vesselness to be applied to large CTA images. This method has been implemented successfully in CTA vessel segmentation and evaluation.


2020 ◽  
Vol 58 (4) ◽  
pp. 709-724
Author(s):  
Xiaoyu Guo ◽  
Ruoxiu Xiao ◽  
Tao Zhang ◽  
Cheng Chen ◽  
Jiayu Wang ◽  
...  

Author(s):  
M.A. Gregory ◽  
G.P. Hadley

The insertion of implanted venous access systems for children undergoing prolonged courses of chemotherapy has become a common procedure in pediatric surgical oncology. While not permanently implanted, the devices are expected to remain functional until cure of the primary disease is assured. Despite careful patient selection and standardised insertion and access techniques, some devices fail. The most commonly encountered problems are colonisation of the device with bacteria and catheter occlusion. Both of these difficulties relate to the development of a biofilm within the port and catheter. The morphology and evolution of biofilms in indwelling vascular catheters is the subject of ongoing investigation. To date, however, such investigations have been confined to the examination of fragments of biofilm scraped or sonicated from sections of catheter. This report describes a novel method for the extraction of intact biofilms from indwelling catheters.15 children with Wilm’s tumour and who had received venous implants were studied. Catheters were removed because of infection (n=6) or electively at the end of chemotherapy.


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