TUMOR VOLUME CALCULATION OF BRAIN FROM MRI SLICES
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 8
Abstract
The main objective of this paper is to calculate volumes of brain tumors from sagittal, axial and coronal orientations. Brain tumor detection is a most important area in medical image processing. Brain cancer is a disease in which cells grow uncontrollably in the brain. It may affect any person at any stage. Brain tumor effects may not be the same for each person. Brain tumors can have a variety of shapes and sizes, it can appear at any location and in any different image intensities. Accurate measurements in brain diagnosis are quite difficult because of diverse shapes, sizes and appearances of tumors. The appearance of tumors on MR images varies greatly, due to tissue variation inside the tumor area and the diffuse growth of the tumor. Hence a variety of segmentation methods should be reviewed and a suitable method should be chosen to distinguish the tumor tissue from the surrounding brain to gain exact volume values. This includes implementation of a spectral clustering segmentation method and 2-dimensional (2D) visualization can be done to each MRI slices. For calculating the tumor volume its important to get the tumor area. Normally its very difficult to calculate the tumor area from a irregular tumor shape. To overcome this problem detect the convex hull region from segmentation result and calculate the convex area from convex hull image. At last frustum model method is used for calculating the tumor volume.
Authors and Affiliations
Shally HR , Chitharanjan K
Keywords
Related Articles
- EP ID EP120460
- DOI -
- Views 103
- Downloads 0
Privacy Preserving Based on PCA Transformation Using Data Perturbation Technique
Maintain confidentiality, privacy and security research in data mining (PPDM) is one of the biggest trends. Recent advances in data collection, data dissemination and related technologies have inaugurated a new era of re...
An Improved Montgomery’s Method Over Public-Key Cryptosystem
This paper deals with improving Montgomery’s algorithm. We improve mongomery’s algorithm such that modular multiplications can be executed two times faster. Each iteration in our algorithm requires only one addition, whi...
A Clustering approach in Mobile Ad-hoc Networks Routing
A mobile ad-hoc network (MANET) is a self-configuring infrastructure less network of mobile devices connected by wireless. MANETs are restricted to a local area of wireless devices, while others may be connected to the I...
A Comprehensive Review on the Relevance Feedback in Visual Information Retrieval
Visual information retrieval in images and video has been developing rapidly in our daily life and is an important research field in content-based information indexing and retrieval, automatic annotation and structuring...
Mathematical model for Non-linear analysis of the stability of a system during unidirectional solidification with buoyancy and small segregation coefficient
The non-linear analysis of any physical problem is capable of predicting the qualitative and quantitative aspects of the problem. In this article, the effects of the constraints like rotation, permeability and quadratic...