brain volume estimation enhancement by morphological image processing tools
Authors
abstract
background: volume estimation of brain is important for many neurological applications. it is necessary in measuring brain growth and changes in brain in normal/abnormal patients. thus, accurate brain volume measurement is very important. magnetic resonance imaging (mri) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. stereology method is a good method for estimating volume but it requires to segment enough mri slices and have a good resolution. in this study, it is desired to enhance stereology method for volume estimation of brain using less mri slices with less resolution. methods: in this study, a program for calculating volume using stereology method has been introduced. after morphologic method, dilation was applied and the stereology method enhanced. for the evaluation of this method, we used t1-wighted mr images from digital phantom in brainweb which had ground truth. results: the volume of 20 normal brain extracted from brainweb, was calculated. the volumes of white matter, gray matter and cerebrospinal fluid with given dimension were estimated correctly. volume calculation from stereology method in different cases was made. in three cases, root mean square error (rmse) was measured. case i with t=5, d=5, case ii with t=10, d=10 and case iii with t=20, d=20 (t=slice thickness, d=resolution as stereology parameters). by comparing these results of two methods, it is obvious that rmse values for our proposed method are smaller than stereology method. conclusion: using morphological operation, dilation allows to enhance the estimation volume method, stereology. in the case with less mri slices and less test points, this method works much better compared to stereology method.
similar resources
Brain Volume Estimation Enhancement by Morphological Image Processing Tools
Background: Volume estimation of brain is important for many neurological applications. It is necessary in measuring brain growth and changes in brain in normal/abnormal patients. Thus, accurate brain volume measurement is very important. Magnetic resonance imaging (MRI) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. St...
full textBrain Volume Estimation Enhancement by Morphological Image Processing Tools
Background Volume estimation of brain is important for many neurological applications. It is necessary in measuring brain growth and changes in brain in normal/abnormal patients. Thus, accurate brain volume measurement is very important. Magnetic resonance imaging (MRI) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. Ste...
full textvolume estimation of potatoes using image processing
volume estimation of most agricultural products using mathematical methods is not accurate because of their irregular shape. an alternative method is image processing, which can be used in continuous sorting machines. the objective of this study is to find a practical method for volume estimation of potatoes using image processing. fifty potatoes (marfona variety) were selected as experimental ...
full textMorphological image sequence processing
We present a morphological multi-scale method for image sequence processing, which results in a truly coupled spatio-temporal anisotropic diffusion. The aim of the method is not to smooth the level-sets of single frames but to denoise the whole sequence while retaining geometric features such as spatial edges and highly accelerated motions. This is obtained by an anisotropic spatio-temporal lev...
full textcantaloupe volume determination through image processing
cantaloupe (cucumis melo) volume was measured using water displacement and image processing methods. the volume determined from image processing method was compared to the volume determined by the water displacement method using the paired samples t-test and the bland-altman approach. the paired samples t-test results showed that the volume determined by image processing method was not signific...
full textFingerprint image enhancement by differential hysteresis processing.
A new method to enhance defective fingerprints images through image digital processing tools is presented in this work. When the fingerprints have been taken without any care, blurred and in some cases mostly illegible, as in the case presented here, their classification and comparison becomes nearly impossible. A combination of spatial domain filters, including a technique called differential ...
full textMy Resources
Save resource for easier access later
Journal title:
journal of biomedical physics and engineeringجلد ۲۰۱۲، شماره ۱۲، صفحات ۰-۰
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023