scholarly journals Hepatic vessel segmentation based on animproved 3D region growing algorithm

2020 ◽  
Vol 1486 ◽  
pp. 032038
Author(s):  
Huahai Zhang ◽  
Peirui Bai ◽  
Xiaolin Min ◽  
Qingyi Liu ◽  
Yande Ren ◽  
...  
Keyword(s):  
Region Growing ◽  
Vessel Segmentation ◽  
3D Region Growing

scholarly journals Automatic liver vessel segmentation using 3D region growing and hybrid active contour model

2018 ◽  
Vol 97 ◽  
pp. 63-73 ◽  
Author(s):  
Ye-zhan Zeng ◽  
Sheng-hui Liao ◽  
Ping Tang ◽  
Yu-qian Zhao ◽  
Miao Liao ◽  
...  
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Region Growing ◽  
Vessel Segmentation ◽  
Contour Model ◽  
3D Region Growing

Shape Prior Integrated in an Automated 3D Region Growing Method

2007 ◽  
Author(s):  
J-L. Rose ◽  
Ch. Revol-Muller ◽  
Mo. Almajdub ◽  
Em. Chereul ◽  
Ch. Odet
Keyword(s):  
Region Growing ◽  
Shape Prior ◽  
3D Region Growing

scholarly journals Computed Tomography Colonography Technique: The Role of Intracolonic Gas Volume

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Patrick D. McLaughlin ◽  
Kevin P. Murphy ◽  
Lee Crush ◽  
Owen J. O'Connor ◽  
Joseph P. Coyle ◽  
...  
Keyword(s):  
Image Acquisition ◽  
Region Growing ◽  
Volumetric Analysis ◽  
Point Scale ◽  
Single Institution ◽  
Bowel Segments ◽  
Gas Volume ◽  
The Relationship ◽  
3D Region Growing

Introduction. Poor distention decreases the sensitivity and specificity of CTC. The total volume of gas administered will vary according to many factors. We aim to determine the relationship between the volume of retained gas at the time of image acquisition and colonic distention and specifically the presence of collapsed bowel segments at CTC.Materials and Methods. All patients who underwent CTC over a 12-month period at a single institution were included in the study. Colonic luminal distention was objectively scored by 2 radiologists using an established 4-point scale. Quantitative analysis of the volume of retained gas at the time of image acquisition was conducted using the threshold 3D region growing function of OsiriX.Results. 108 patients were included for volumetric analysis. Mean retained gas volume was 3.3 L. 35% (38/108) of patients had at least one collapsed colonic segment. Significantly lower gas volumes were observed in the patients with collapsed colonic segments when compared with those with fully distended colons 2.6 L versus 3.5 L (P=0.031). Retained volumes were significantly higher for the 78% of patients with ileocecal reflux at 3.4 L versus 2.6 L without ileocecal reflux (P=0.014).Conclusion. Estimation of intraluminal gas volume at CTC is feasible using image segmentation and thresholding tools. An average of 3.5 L of retained gas was found in diagnostically adequate CTC studies with significantly lower mean gas volume observed in patients with collapsed colonic segments.

Automatic Segmentation and Diagnosis Based on Multi-Scale Two-Stage Region Growing and Skeleton Extraction for Vessel Stenosis in Coronary Angiography

2020 ◽  
Vol 10 (2) ◽  
pp. 446-451
Author(s):  
Wu Deng ◽  
Kai Luo ◽  
Qinke Shi ◽  
Yi Yang ◽  
Ning Ning
Keyword(s):  
Coronary Angiography ◽  
Hessian Matrix ◽  
Region Growing ◽  
Vessel Segmentation ◽  
Good Effect ◽  
Skeleton Extraction ◽  
Seed Point ◽  
Automatic Diagnosis ◽  
Small Vessels ◽  
Vessel Stenosis

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.

scholarly journals A Region Growing Vessel Segmentation Algorithm Based on Spectrum Information

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Huiyan Jiang ◽  
Baochun He ◽  
Di Fang ◽  
Zhiyuan Ma ◽  
Benqiang Yang ◽  
...  
Keyword(s):  
Region Of Interest ◽  
Region Growing ◽  
Vessel Segmentation ◽  
Growth Strategy ◽  
Segmentation Algorithm ◽  
Edge Information ◽  
Manual Intervention ◽  
Vascular Structures ◽  
Region Growing Segmentation ◽  
Seed Points

We propose a region growing vessel segmentation algorithm based on spectrum information. First, the algorithm does Fourier transform on the region of interest containing vascular structures to obtain its spectrum information, according to which its primary feature direction will be extracted. Then combined edge information with primary feature direction computes the vascular structure’s center points as the seed points of region growing segmentation. At last, the improved region growing method with branch-based growth strategy is used to segment the vessels. To prove the effectiveness of our algorithm, we use the retinal and abdomen liver vascular CT images to do experiments. The results show that the proposed vessel segmentation algorithm can not only extract the high quality target vessel region, but also can effectively reduce the manual intervention.

Sign in / Sign up

Export Citation Format

Share Document