Creation of 3D Volume Loss Mask and Mean Performance Analysis on 3d MR Images
Journal Title: Journal of Biomedical Engineering and Medical Imaging - Year 2017, Vol 4, Issue 3
Abstract
Examination of changes in the brain during disease progression using numerical methods is one of the current topics investigated by neuroscience. One of the numerical methods developed for locally or globally analyzing changes in the brain is voxel based morphometry. With voxel based morphometry, volume differences between the intragroup and intergroup Magnetic Resonance images can be examined. The general voxel based morphometry studies performed in the literature are only mapped. However, tissue analysis and artificial intelligence studies using voxel based morphometry are inadequate. In this study, voxel based morphometry was used to create a three dimensional volume loss mask for Alzheimer's disease to use tissue analysis and artificial intelligence in the future studies. Two different masks were created for according to the usage of family wise error. Volume loss regions are cut from normalized segmented and smoothed normalized segmented gray matter images with the generated masks. The average values of the voxel values in these regions are statistically compared for four different scenarios. As a result of the comparison, segmentation made with normalized segmented and family wise error values have been more meaningful results than the other three scenarios.
Authors and Affiliations
Muhammet Üsame ÖZİÇ, Ahmet Hakan Ekmekci, Seral ÖZŞEN
Keywords
Related Articles
- EP ID EP283600
- DOI 10.14738/jbemi. 43.3237
- Views 55
- Downloads 0
In vivo Tumor Wavelength Band Selection using Hierarchical Clustering and PCA with NIR-Hyperspectral Data
This paper presents a new method of wavelength selection combined with principle component analysis (PCA) and a hierarchal method for hyperspectral data analysis. Hyperspectral data analysis is a combination of imaging a...
Approach to Detecting Forest Fire by Image Processing Captured from IP Cameras
In this paper, the results show an algorithm to detect the presence of smoke and flame using image sequences captured by Internet Protocol (IP) cameras is represented. The important characteristics of smoke such as color...
Pattern Matching Image Retrieval Technique for Medical Image Database
In current scenario Medical Imaging is becoming very popular due to it’s widely use Medical Profession. Now it became very easy to fetch some useful information from a large data repository using some data mining techniq...
Computational Analysis of Histological Images of Tissue Engineered Cartilage for Evaluation of Scaffold Cell Migration
Human chondrocytes were seeded on porcine collagen scaffolds and cultivated for up to six weeks in a cartilage bioreactor. To evaluate the influence of cultivation parameters on the proliferation and migration of the cel...
Computed Tomography Image‐guided Intraoperative and Stereotactic Calculation Method
Targeting of deep brain structure pathologies in the operation room and the concept of stereotactic that is applied on the affected zone is described. The achievement of a high accuracy using specialized stereotactic app...