3d imagination of human's organs has become feasible by digital image processing techniques and algorithms via ct or mri images in recent years. in this study, a new method for reverse engineering and biomodelling of hard tissues by catia cloud points' concept has been considered. comparing with the current softwares (e.g. biobuild or mimics) has shown the new method's easiness of implementing ...

MRI is a sensitive method for detecting subtle anatomic abnormalities in the neonatal brain. To optimize the usefulness for neonatal and pediatric care, systematic research, based on quantitative image analysis and functional correlation, is required. Normalization-based image analysis is one of the most effective methods for image quantification and statistical comparison. However, the applica...

Brain tumour is one of the most dangerous disease occurring commonly among human beings. The chances of survival can be increased if the tumour is detected correctly at its early stage. MRI brain imaging technique is widely used to visualize the anatomy and structure of the brain. The images produced by MRI are high in tissue contrast and have fewer artifacts. It has several advantages over oth...

Most of the MR image accelerating methods suffer from degradation of acquired images, which is often correlated with the degree of acceleration. However, Wideband MRI is a novel technique that transcends such flaws. In this study we demonstrate that Wideband MRI is capable of obtaining images with identical quality as conventional MR images in terms of SNR, CNR (contrast-to-noise ratio) and ima...

The automatic classification of brain MRI images of a patient is an important task in clinical diagnostic for the detection of tumor/cancer or any kind of brain related disease; subsequently it will reduce the subjectivity of physician in decision making. In order to design and implement, A MRI image classification technique of Three-Stage approach, consisting of 2 level wavelet decomposition [...

Rapid advancement in icon-based analysis for the treatment of diseases which are affected on internal organs of human body drives medical imaging processing into an important technique among various methods of psychoanalysis. Among all the available imaging modalities magnetic resonance imaging techniques are extensively used for the analysis and discussion of diseases in soft tissue. MRI image...

Introduction: Advanced quantitative information such as radiomics features derived from magnetic resonance (MR) image may be useful for outcome prediction, prognostic models or response biomarkers in Glioblastoma (GBM). The main aim of this study was to evaluate MRI radiomics features for recurrence prediction in glioblastoma multiform.   Materials and Methods:</str...

OBJECTIVE The purpose of this exploratory study was to investigate whether a quantitative image analysis of the labyrinth in conventional magnetic resonance imaging (MRI) scans using a radiomics approach showed differences between patients with Ménière's disease (MD) and the control group. MATERIALS AND METHODS In this retrospective study, MRI scans of the affected labyrinths of 24 patients w...

In gray level images discontinuities in image intensity profiles is called edges. Detection of these discontinuities is essential steps in many machine vision tasks such as object recognition, motion analysis etc. In this paper, various morphological operators are used on MRI images and a new algorithm is applied to give better result. Keywords-Morphological operators, MRI images and threshold ...

3D reconstruction and 3D printing of subject-specific anatomy is a promising technology for supporting clinicians in the visualisation of disease progression and planning for surgical intervention. In this context, the 3D model is typically obtained from segmentation of magnetic resonance imaging (MRI), computed tomography (CT) or echocardiography images. Although these modalities allow imaging...