A Level Set Algorithm for Contour Tracking in Medical Images

Author(s):  
Yue Li ◽  
Qingyu Tang
2020 ◽  
Author(s):  
Rachana Jaiswal ◽  
Srikant Satarkar

In medical imaging, accurate anatomical structure extraction is important for diagnosis and therapeutic interventional planning. So, for easier, quicker and accurate diagnosis of medical images, image processing technologies may be employed in analysis and feature extraction of medical images. In this paper, some modifications to level set algorithm are made and modified algorithm is used for extracting contour of foetal objects in an image. The proposed approach is applied on foetal ultrasound images. In traditional approach, foetal parameters are extracted manually from ultrasound images. Due to lack of consistency and accuracy of manual measurements, an automatic technique is highly desirable to obtain foetal biometric measurements. This proposed approach is based on global & local region information for foetal contour extraction from ultrasonic images. The primary goal of this research is to provide a new methodology to aid the analysis and feature extraction from foetal images.


2022 ◽  
Vol 31 ◽  
pp. 15-29
Author(s):  
Qing Cai ◽  
Huiying Liu ◽  
Yiming Qian ◽  
Sanping Zhou ◽  
Jinjun Wang ◽  
...  

2012 ◽  
Vol 2 (2) ◽  
pp. 158-167 ◽  
Author(s):  
Manish Khare ◽  
Rajneesh Kumar Srivastava

Author(s):  
Anusha Achuthan ◽  
Mandava Rajeswari ◽  
Dhanesh Ramachandram ◽  
Mohd Ezane Aziz ◽  
Ibrahim Lutfi

2015 ◽  
Vol 24 (11) ◽  
pp. 3386-3399 ◽  
Author(s):  
Xin Sun ◽  
Hongxun Yao ◽  
Shengping Zhang ◽  
Dong Li

2004 ◽  
Vol 8 (3) ◽  
pp. 217-231 ◽  
Author(s):  
J CATES ◽  
A LEFOHN ◽  
R WHITAKER

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