Investigation of multimodal brain MR images

Brain has a complex structure and many functions. Magnetic resonance imaging (MRI), which is a non-invasive method, is frequently preferred to examine this complex structure of the brain. MRI provides a versatile perspective; because it provides images with high spatial resolution, it provides a perspective that can evaluate the morphology of the brain by going down to the smallest part of the complex structure of the brain. Morphological feature of brain divided into three sections that contains different density and examined with T1 weighted (T1w) images: gray matter(dark color), white matter(light color) and cerebrospinal fluid(white). In this direction, the quantitative T1 (qT1) MRI method, which is one of the latest conceptual developments, provides important data on the mapping of brain tissue by examining parts of the brain. While the intensity values in conventional MR images depend on many external parameters such as MR sequence parameters (TR, TE, etc.), T1 maps obtained by the qT1 method reflect the internal characteristics of the tissue such as water capacity and myelination. The relationship between the sections, the similarity, morphology, molecular and microcircuit characteristics of the sections can be explained by the data sets created with various modes. The aim of this thesis is to identify different attributes of healty human brain by analyzing multiple brain MRI images of 50 healthy participants shared in a study conducted by Royer et al. (2002). If the structural and functional information obtained from healthy brain images can be defined, this will provide a framework that will facilitate the diagnosis of individuals with neurological diseases in the next stages. The analysis of qt1 ant T1w were performed in programs such as FSL and AFNI. Better image quality will be created by using the margin of error at each step to improve image quality and remove noise with brain extraction, registration, segmentation and region of interesting. The created images were sorted into right and left hemispheres and the normal relations between the parts of the brain will be explained. As a result, with this study, the healthy brain were examined using MRI images created in different modes and volume measurements of the same brain regions obtained using different imaging methods have been shown that have sitatistically significant differences. With these differences, it is aimed to find the standardization of brain normalization volume measurements and contribute to doctors' perspectives in order to make a more accurate diagnosis in the light of this information.