An Automated System for Atlas Based Multiple Organ Segmentation of Abdominal CT Images
Sanjay Saxena, Neeraj Sharma, Shiru Sharma, S. K. Singh, Ashish Verma
Journal of Advances in Mathematics and Computer Science · pp. 1–14 · Published 5 Oct 2015
10.9734/BJMCS/2016/20812Abstract
In this paper, an efficient atlas based approach for multiple abdominal organ segmentation is presented. This automatic segmentation of different organs such as spine, kidneys, liver, aorta, spleen of abdominal image is based on allocation of spine as landmark. In current years several researches has been done for developing automatic segmentation techniques of abdominal CT images however still it is an incredibly challenging task to segment this efficiently and appropriately. This paper proposed a fully automatic system for abdominal image segmentation by marking spine as landmark to extract different organs using a fuzzy based system. The proposed technique uses the fact that multiple organs of abdominal images are situated at a particular distance and in particular range of angles from the spine and spine is the solitary organ which is frequent in the slices of CT image data set. In this paper we focused for the segmentation of liver, kidney, aorta, spine, spleen. This system is evaluated on the data of several patients (152 CT images which consist all such organs) and obtained significant results by comparing the computed results to the boundaries manually traced by experts.
Cited by 19
Lung-Wen Tsai, Aaditya Agrawal, Prasad Dash · Journal of Medical and Biological Engineering · 2025
Pawel Badura, Wojciech Wieclawek · Applied Soft Computing · 2016
Prajawal Sinha, Mayur Tuteja, Sanjay Saxena · SN Applied Sciences · 2020
Benjamin Dourthe, Noor Shaikh, Anoosha Pai S. · Spine · 2021
Eli Gibson, Francesco Giganti, Yipeng Hu · IEEE Transactions on Medical Imaging · 2018
Adhesh Garg, Diwanshi Gupta, Sanjay Saxena · 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN) · 2019
Seenia Francis, Goutham Pooloth, Sai Bala Subrahmanyam Singam · International Journal of Imaging Systems and Technology · 2022
Mehrdad Moghbel, Syamsiah Mashohor, Rozi Mahmud · Artificial Intelligence Review · 2017
Hardik Singh, Raavi Sai Venkat, Sweta Swagatika · Lecture Notes in Electrical Engineering · 2019
Jinghua Zhu, Yue Sheng, Hui Cui · Biomedical Signal Processing and Control · 2023
Related research
- Assessment of Patients’ Knowledge of Radiation Exposure during Medical Imaging Procedures at Private Medical Radiography Centres in Ogun State, Nigeria — shares topic coverage
- Geophysics Meets Medicine: The Game-Changing Impact of Earth Science Techniques on Modern Imaging and Diagnostics — shares topic coverage
- Technologies in Texture Analysis – A Review — shares topic coverage
- Illumination - Invariant Facial Components Extraction Using Adaptive Contrast Enhancement Methods — shares topic coverage
- Sickle Cell Disease - A Comprehensive Study and Usage of Technology for Diagnosis — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
19
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.