Over the past decade, the application of magnetic resonance imaging (MRI) has increased, and there is growing evidence to suggest that improvements in the accuracy of target delineation in MRI-guided radiation therapy may improve clinical outcomes in a variety of cancer types. However, some considerations should be recognized including patient motion during image acquisition and geometric accur...

In this paper an optimized fuzzy logic based segmentation for abnormal MRI brain images analysis is presented. A conventional fuzzy c-means (FCM) technique does not use the spatial information in the image. In this research, we use a FCM algorithm that incorporates spatial information into the membership function for clustering. The FCM algorithm that incorporates spatial information into the m...

Two quantitative ocular magnetic resonance imaging (MRI) methods for the clinical use in Ophthalmology and Radiology were developed. Ocular MRI images with spatio-temporal resoultions of 0.78/1.56/2/(5 to 84) mm/mm/mm/s were acquired from patients with diabetic retinopathy and normal subjects using a 1 T MRI system. T1 and T2 MRI relaxometry maps were generated offline from the MRI images acqui...

We evaluated 56 consecutive patients with newly diagnosed lymphoma including 48 with non-Hodgkin's lymphoma (NHL) and 8 with Hodgkin's disease to determine the clinical and prognostic significance of magnetic resonance imaging (MRI) of the femoral marrow. MR images of the femoral marrow were obtained by the T1-weighted spin echo method and the short TI inversion recovery technique. Abnormal "po...