Prior Integrated Segmentation for Brain Structures: A Review
- Author:
Anusha Achuthan
1
Author Information
1. Oncological and Radiological Sciences Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, 13200 Kepala Batas, Pulau Pinang, Malaysia
- Collective Name:Anusha Achuthan; Mandava Rajeswari
- Publication Type:Review
- Keywords:
Image segmentation;
Brain structures;
Magnetic Resonance Imaging
- MeSH:
Brain structures
- From:Malaysian Journal of Medicine and Health Sciences
2018;14(Supplement 1):190-200
- CountryMalaysia
- Language:English
-
Abstract:
Over the past few years, challenges remain in producing an accurate brain structures segmentation due to the imaging nature of Magnetic Resonance images, that is known to exhibit similar intensity characteristics among subcortical structures such as the hippocampus, amygdala and caudate nucleus. Lack of a distinct image attributes that separate adjacent structures often hinders the accuracy of the segmentation. Therefore, researches have been directed to infer prior knowledge about the possible shape and spatial location to promote accurate segmentation. Realizing the importance of prior information, this focused review aims to introduce brain structures segmentation from the perspective of how the prior information has been utilized in the segmentation methods. A critical analysis on the methodology of the brain segmentation approaches, its’ advantages and issues pertaining to these methods has been discussed in detail. This review also provides an insight to the current happenings and future directions in brain structure segmentation.
- Full text:11.2018my0334.pdf
