A Shape Optimization Technique for Medical Images

Shape Description Methods for Medical Images

Contrast Enhancement Technique for Medical Images

This paper describes a technique for image contrast enhancement. This technique is based on localized contrast manipuladon. This technique is easy to implement and have several properties such as adaptive, multiscale and weighted localization. This paper also describes an anisotropic propagation for this technique. Several examples for medical images such as Chest CT image, Brain MR images, Mam...

A Visual Cryptographic Encryption Technique for Securing Medical Images

The increased growth in the use of transmission of multimedia medical contents over unsecured and open networks provides insecurity for confidential patient information over these networks. Digital encryption of medical images before transmission and storage is proposed as a way to effectively provide protection of patient information. Encryption before watermarking of these images is necessary...

A Medical Feature Enhancing New Denoising Technique for Ultrasound Images

20% To 50% of the neonates with a very low birth weight (VLBW:<1500g) is suffering from leukomalacia (White Matter Damage) at birth. Leukomalacia, especially in the early stage of its development, is visible in ultrasound images as “white clouds” (so-called “flares”). The gravity of the damage can be determined from the shape, the area, and the internal texture of those flares. In this paper we...

A NURBS-Based Technique for the Segmentation of Medical Images

Extracting the human brain from magnetic resonance head scans is difficult because of its highly convoluted and nonuniform geometry. A technique based on Non-Uniform Rational B-Splines (NURBS) and energy minimising deformable models to extract the brain surface accurately from MR head scans is presented. The weighting parameter that comes with the NURBS definition is explored to attract the sur...