Segmentation of the prostate gland in Magnetic Resonance (MR) images is an important task for image-guided prostate cancer therapy. The low contrast of the prostate to surrounding tissue in MR images makes automatic segmentation very challenging. In this paper, we propose an automatic approach for robust and accurate prostate segmentation in T2-weighted MR scans. We first employ a boosted prost...

we report a patient diagnosed with whipple's disease (wd) who presented only with neurological symptoms. neuroimaging (mri) showed lesions with marked mass effect similar to infiltrative tumors, which were hypersignal on long tr and hyposignal on short tr images, located in several areas of the brain. in serial controls, lesions resolved with gliosis and atrophic changes as well as migration of...

We describe a fully-automatic three-dimensional (3-D)-segmentation technique for brain magnetic resonance (MR) images. By means of Markov random fields (MRF’s) the segmentation algorithm captures three features that are of special importance for MR images, i.e., nonparametric distributions of tissue intensities, neighborhood correlations, and signal inhomogeneities. Detailed simulations and rea...

AIM An image fusion of 3-dimensional (D) digital subtraction angiography (DSA) and magnetic resonance (MR) images, DSA-MR fusion, can simultaneously visualize both information of the vasculature provided by 3D DSA and of the soft tissues provided by MR images. The authors assessed the usefulness of DSA-MR fusion images concerning the pretreatment evaluation for cerebral arteriovenous malformati...

In brain magnetic resonance (MR) images, image segmentation and 3D visualization are very useful tools for the diagnosis of abnormalities. Segmentation of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is the basic process for 3D visualization of brain MR images. Of the many algorithms, the fuzzy c-means (FCM) technique has been widely used for segmentation of brain MR image...

Rationale and Objectives. Needle biopsy is currently the only way to confirm prostate cancer. To increase prostate cancer diagnostic rate, needles are expected to be deployed at suspicious cancer locations. High-contrast magnetic resonance (MR) imaging provides a powerful tool for detecting suspicious cancerous tissues. To do this, MR appearances of cancerous tissue should be characterized and ...

OBJECTIVE To evaluate diffusion-weighted magnetic resonance (DW-MR) imaging for detection of metastases in lymph nodes by using quantitative analysis. METHODS Seventy patients with non-small cell lung cancer were examined with DW and short inversion time inversion recovery (STIR) turbo-spin-echo MR imaging. Apparent diffusion coefficient of each lung cancer and lymph node was calculated from ...

Based on the Radon transform, a wavelet multiscale denoising method is proposed for MR images. The approach explicitly accounts for the Rician nature of MR data. Based on noise statistics we apply the Radon transform to the original MR images and use the Gaussian noise model to process the MR sinogram image. A translation invariant wavelet transform is employed to decompose the MR 'sinogram' in...

Gadoxetate disodium is a widely used magnetic resonance (MR) contrast agent for liver MR imaging, and it provides both dynamic and hepatobiliary phase images. However, acquiring optimal arterial phase images at liver MR using gadoxetate disodium is more challenging than using conventional extracellular MR contrast agent because of the small volume administered, the gadolinium content of the age...

Introduction Validation of findings from in vivo imaging (e.g. MRI) of the prostate requires precise correlation of histopathological information on a voxel-by-voxel basis, with sub-millimeter accuracy in the absence of identifiable anatomic landmarks. A method is developed to register histopathology sections and in vivo MR images of the prostate obtained with a combination of a phased-array an...