MRI image processing method on brain tumors: A review
Golda Tomasila, Andi Wahju Rahardjo Emanuel
Abstract
Magnetic resonance imaging (MRI) is a technological development in the medical field that produces images with high resolution to detect and then can classify diseases that are found in the organs of the patient's body. One condition that can be identified from reading an MRI image is a brain tumor. MRI technology is beneficial for medical for early detection of brain tumor disease. However, the weakness of detecting brain tumor disease with MRI images performed by doctors is still manual. It certainly requires a long process due to the complexity of the structure of the human brain. Of course, the slow process of detecting and classifying brain tumor disease in patients can cause delayed medical treatment for the patient's recovery. For this reason, based on the need for medical information needed by doctors to treat patients quickly and accurately, an image processing technique or method for reading MRI images is developed, the aim is to assist in processing medical images. In this research, we will review various techniques or methods that have been used to detect brain tumors on MRI images, and are expected to provide information on different techniques or methods in image processing as a basis for image processing MRI.