Estimation of Brain Tumour Volume Using Expanded Computed Tomography Scan Images

A brain tumour is a growth of cells in the brain that multiplies in an abnormal and uncontrollable way. The estimation of brain tumour volume is important for diagnosis and treatment process. The computed tomography is one of the most important devices used for detection, diagnosis, and volume estimation of the brain tumour. The most common disadvantage of this device is the high radiation dose that the patients expose to. Therefore, this paper presents a new method to expand the number of slices based on creating a new slice using the mean between two successive slices. Then the volume of the brain tumour has been estimated depending on the proposed method. The last stage is the validation of the results using two methods rely on the same sample ( validated slices), as well as the use of the statistical method using texture feature. The result shows that the average correlation between the original slice and the created slice is 93%. Thus, the proposed method reduces the patients' exposure to radiation dose, as well as reduces time, energy and cost.