New Approach to Prostate Diagnosis - Perfusion CT Images Analysis using "Life Belt" Method
-
Jacek Śmietański
and
Ryszard Tadeusiewicz
Abstract
The most important task that could improve the efficacy of managing the prostate cancer (PCa) is to develop the technique which will be able to detect an existing PCa even in cases when currently used methods are insufficient. It is supposed that the perfusion computed tomography technology (p-CT) can improve the diagnosis of early PCa. Unfortunately, the perfusion prostate images are very difficult to analyze especially for doctors who are not enough experienced with such a kind of images. Therefore there is a need to find a computational method which could help the doctors to make the decision whether the prostate cancer exists or not and (if the results are positive) to correctly point out the cancerous region. In research which results are presented in the paper we analyzed a great number of prostate images derived from over 50 patients with proven or suspected PCa. We propose the new method, named "life-belt" which has significant potential for identifying cancerous regions.
©Jagiellonian University, Medical College, Kraków, Poland, 2012
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Articles in the same Issue
- User Response to the Simulation of a Virtual Patient with Cranial Nerve Injury
- Automatic Protein Abbreviations Discovery and Resolution from Full-Text Scientific Papers: The PRAISED Framework
- PROTEIN FOLD CLASSIFICATION BASED ON MACHINE LEARNING PARADIGM - A REVIEW
- A survey of FPGA implementations of Artificial Spiking Neurons Models
- Computer modelling of pentoxifylline release from a cylinder-shaped hydroxylapatite carrier
- HEXAPOD - SIX-LEGGED WALKING ROBOT CONTROLLED WITH TODA-RAYLEIGH LATTICE
- Realistic model of spine geometry in the human skeleton in the Vicon system
- Use and Usability of Health related E-services among the Senior Citizens
- New Approach to Prostate Diagnosis - Perfusion CT Images Analysis using "Life Belt" Method
- Research on the changes in voice quality caused by tonsillectomy
