Digital processing for computed tomography images: brain tumor extraction and histogram analysis

• Main Authors: Hussien Al-Ashwal, Rania, Eko Supriyanto, Eko Supriyanto, Abdul Rani, Nur Anati, Abdullah, Nur Azmira, Aziz, Nur Illani, Mahfooz, Rania
• Format: Conference or Workshop Item
• Published: 2013
• Subjects: QD Chemistry
• Online Access: http://eprints.utm.my/id/eprint/37561/; http://www.wseas.us/e-library/conferences/2013/Nanjing/SCIE/SCIE-17.pdf

Computed Tomography is one of the modalities that can be used to diagnose brain tumor. However, this modality only capturing the image without extracting the tumor completely. The process of extracting medical images is the most challenging field nowadays. Most of the technique used is more on MRI modality compared to CT images because it is higher resolutions. This project described two methods the detection and extraction of brain tumor from patient’s CT scan images of the brain from two brain tumor patients. Image segmentation used to detect the tumor. The process involves the extraction and segmentation of brain tumor from CT images of a male patient using MATLAB software. The severity of the tumor automatically determined by measuring the volume. Histogram analysis used to detect the level of the tumor depending on the difference in color intensity for different object density in the image.