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Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters
Omar Ibrahim Alirr1, Ashrani Aizzuddin Abd Rahni2
1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia. omarizi@gmail.com.
Journal of Digital Imaging
|August 21, 2019
Summary
Computer-aided preoperative planning using computed tomography (CT) images enhances liver surgery safety. Segmentation of liver organs, tumors, and vessels provides crucial spatial insights for accurate surgical resection planning.
Area of Science:
- Medical Imaging
- Surgical Planning
- Computational Anatomy
Background:
- Preoperative planning is vital for reducing risks in liver surgical resections.
- Computer-aided systems utilize computed tomography (CT) images for pre-surgical planning.
- These systems offer spatial visualization of liver anatomy, tumors, and vasculature, aiding in volume calculations.
Purpose of the Study:
- To review the stages of computer-aided systems for evaluating resection risks in liver cancer surgery.
- To present segmentation techniques for liver organs, tumors, and vessels within these systems.
- To highlight the importance of accurate segmentation for safe surgical planning.
Main Methods:
- Review of segmentation techniques for liver organs, tumors, and vessels.
- Analysis of computer-aided system stages for surgical risk evaluation.
- Fusion of segmentation masks to create 3D visualization tools.
Main Results:
- Computer-aided systems provide volumetric measurements and visualization of liver structures.
- Accurate segmentation of the liver, tumors, and vasculature is essential for understanding spatial relationships.
- Combining multiple segmentation techniques yields more accurate results than single methods.
Conclusions:
- Accurate segmentation and 3D visualization are crucial for safe liver tumor resection planning.
- Computer-aided systems significantly improve the precision of preoperative planning for liver surgeries.
- Integrated segmentation approaches enhance the reliability of surgical planning parameters.
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