CT-scan images preprocessing and segmentation to improve bioprosthesis leaflets morphological analysis

CT-scan images preprocessing and segmentation to improve bioprosthesis leaflets morphological analysis.

The visualization of bioprosthesis leaflet morphology might help to better understand the underlying mechanism of dysfunction in degenerated aortic bioprosthesis. Because today such visualization of bioprosthesis leaflet morphology is intricate to impossible with other imaging techniques, we hypothesized that the processing of multi-detector CT images would allow better visualization of the pro...

A Hybrid Method for Segmentation and Visualization of Teeth in Multi-Slice CT scan Images

Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...

Texture analysis of the ovarian lesions by CT scan images

Introduction: To explore diagnostic potential of computerize texture analysis methods in discrimination of the normal, benign and malignant ovarian lesions by CT scan imaging.   Materials and Methods: Ovarian CT image database consists of 10 normal, 10 benign and 3 malignant which were reported by radiologist and proven by clinical examinat...

Analysis of degenerated aortic valve bioprosthesis by segmentation of preoperative CT images

Liver Segmentation of CT Scan Images: A Survey

Liver Cancer is one of the fastest growing cancer in the world. According to a survey the liver cancer ranks as the 11 most commonly occurring cancer. The survey was done on the basis of survival rate. If the person has survived for 5 years then the survival rate is chosen as 5 years. From study it is revealed that every one man among three and every one woman among nine has chance of getting l...