Diffusion-weighted MRI images acquired with multiple b-values have the potential to improve diagnostic accuracy by increasing the conspicuity of lesions and inflammatory activity with background suppression. Unfortunately, the inherently low signal-to-noise ratio (SNR) of DW-MRI reduces enthusiasm for using these images for diagnostic purposes. Moreover, lengthy acquisition times limit our abil...

Introduction Magnetic resonance imaging (MRI) offers non-invasive imaging method to obtain high resolution anatomic pictures of tissue and organs. However, it has extremely low sensitivity to image the bone structures which have little water content and very short T2 relaxation time . This is opposite to the problem of x-ray based computer tomography (CT), which has good capability of imaging o...

qualitative analysis of petroleum reservoir rocks is still one of the most important topics of core laboratories and directly affects hydrocarbon-in-place, fluid flow, and prediction of field performance. magnetic resonance imaging (mri) as a non-invasive, millimeter resolution technique which only images fluids in porous media fits this purpose perfectly. magnetic resonance is a radio frequenc...

Introduction: In recent years, the use of magnetic resonance (MR) images in radiation treatment planning has drawn considerable attention. However, although the extent of a tumor can be determined in great detail on MR images, the geometric accuracy of these images is limited by distortions stemming from the inhomogeneity of the static background magnetic field, the nonlineari...

Introduction: The objective of this work is to study the ability of MRI normoxic polymer gel dosimetry system to be used to verify the calculated dose distribution, in a simple geometry, in clinical radiotherapy. Materials and Methods:  Initially, 2 liters of the normoxic MAGAT polymer gel was prepared and then poured into two cylindrical Perspex phantom (simu...

Tumor segmentation of MRI brain images is a challenging problem still now. MRI brain images segmented method based on supervised technique but, here how to propose the MRI image segmented using clustering with artificial bee colony (ABC) algorithm. In this method, Threshold estimation is regarded as a search procedure that searches for an appropriate value in a continuous gray scale interval. P...

hydrocephalus is a common finding in patient with extensive intracranial pathology. this finding may have obvious cause or even happened by a subtle abnormality. some of the normal looking ventricles are really hydrocephalus when compare with previous images and some are due to nph. communicating and non-communicating hydrocephalus should be separated to divided pathologic causes. this session ...

this paper introduces a novel methodology for the segmentation of brain ms lesions in mri volumes using a new clustering algorithm named scpfcm.  scpfcm uses membership, typicality and spatial information to cluster each voxel. the proposed method relies on an initial segmentation of ms lesions in t1-w and t2-w images by applying scpfcm algorithm, and the t1 image is then used as a mask and is ...