Local segmentation of skull CT image using morphological processing and sparse field level set method

2018 ◽  
Author(s):  
Xinyu Zhang ◽  
Guirong Weng ◽  
Yiming Ming
Keyword(s):  
Level Set Method ◽  
Level Set ◽  
Morphological Processing ◽  
Ct Image ◽  
Field Level

scholarly journals A Hybrid Method for Pancreas Extraction from CT Image Based on Level Set Methods

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Huiyan Jiang ◽  
Hanqing Tan ◽  
Hiroshi Fujita
Keyword(s):  
Level Set Method ◽  
Level Set ◽  
Negative Impact ◽  
Level Set Methods ◽  
Region Growing ◽  
Ct Images ◽  
Medical Image Segmentation ◽  
Initial Contour ◽  
Ct Image ◽  
Fast Marching

This paper proposes a novel semiautomatic method to extract the pancreas from abdominal CT images. Traditional level set and region growing methods that request locating initial contour near the final boundary of object have problem of leakage to nearby tissues of pancreas region. The proposed method consists of a customized fast-marching level set method which generates an optimal initial pancreas region to solve the problem that the level set method is sensitive to the initial contour location and a modified distance regularized level set method which extracts accurate pancreas. The novelty in our method is the proper selection and combination of level set methods, furthermore an energy-decrement algorithm and an energy-tune algorithm are proposed to reduce the negative impact of bonding force caused by connected tissue whose intensity is similar with pancreas. As a result, our method overcomes the shortages of oversegmentation at weak boundary and can accurately extract pancreas from CT images. The proposed method is compared to other five state-of-the-art medical image segmentation methods based on a CT image dataset which contains abdominal images from 10 patients. The evaluated results demonstrate that our method outperforms other methods by achieving higher accuracy and making less false segmentation in pancreas extraction.

scholarly journals An improved level set method for vertebra CT image segmentation

2013 ◽  
Vol 12 (1) ◽  
pp. 48 ◽  
Author(s):  
Juying Huang ◽  
Fengzeng Jian ◽  
Hao Wu ◽  
Haiyun Li
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Ct Image

scholarly journals A Priori Knowledge and Probability Density Based Segmentation Method for Medical CT Image Sequences

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Huiyan Jiang ◽  
Hanqing Tan ◽  
Benqiang Yang
Keyword(s):  
Probability Density ◽  
Level Set Method ◽  
Level Set ◽  
A Priori ◽  
Image Sequences ◽  
Medical Image Segmentation ◽  
A Priori Knowledge ◽  
Ct Image ◽  
Distance Regularization ◽  
Priori Knowledge

This paper briefly introduces a novel segmentation strategy for CT images sequences. As first step of our strategy, we extract a priori intensity statistical information from object region which is manually segmented by radiologists. Then we define a search scope for object and calculate probability density for each pixel in the scope using a voting mechanism. Moreover, we generate an optimal initial level set contour based on a priori shape of object of previous slice. Finally the modified distance regularity level set method utilizes boundaries feature and probability density to conform final object. The main contributions of this paper are as follows: a priori knowledge is effectively used to guide the determination of objects and a modified distance regularization level set method can accurately extract actual contour of object in a short time. The proposed method is compared to other seven state-of-the-art medical image segmentation methods on abdominal CT image sequences datasets. The evaluated results demonstrate our method performs better and has the potential for segmentation in CT image sequences.

Sparse field level set method for non-convex Hamiltonians in 3D plasma etching profile simulations

2006 ◽  
Vol 174 (2) ◽  
pp. 127-132 ◽  
Author(s):  
Branislav Radjenović ◽  
Jae Koo Lee ◽  
Marija Radmilović-Radjenović
Keyword(s):  
Level Set Method ◽  
Level Set ◽  
Plasma Etching ◽  
Field Level ◽  
Etching Profile
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