Research Article
DCE-CT Perfusion Parametric Coloured Image Using Steepest Gradient Approach Based on Time Frame
@ARTICLE{10.4108/eai.13-7-2018.164828, author={Habib E. Ashoor}, title={DCE-CT Perfusion Parametric Coloured Image Using Steepest Gradient Approach Based on Time Frame}, journal={EAI Endorsed Transactions on Energy Web}, volume={7}, number={30}, publisher={EAI}, journal_a={EW}, year={2020}, month={5}, keywords={perfusion image, DCE-CT, ROI, time frame, steepest gradient approach}, doi={10.4108/eai.13-7-2018.164828} }- Habib E. Ashoor
Year: 2020
DCE-CT Perfusion Parametric Coloured Image Using Steepest Gradient Approach Based on Time Frame
EW
EAI
DOI: 10.4108/eai.13-7-2018.164828
Abstract
Technological advances in medical imaging modality, counting higher special and temporal resolution, have been utilized to aid radiologist in diagnosing, prognostic and, hence, management of brain tumour. After tracer injection, CT scanning along with pharmacokinetic models are applied to measure several hemodynamic parameters used to describe microvasculature within a targeted region of interest (ROI). These parameters are a choice for diagnostic and prognostic and the likelihood of preferable treatment for brain tumour. The perfusion pixel-wise perfusion map image is a fingerprint of abnormality of ROI within brains that aid radiologist to separate between necrotic and neoplastic of tumour territory and to avoid arterial partial-volume averaging. This work aims to generate pixel-wise perfusion map colour image of brain by using the steepest gradient approach based on the time frame of tracer passage.
Copyright © 2020 Habib E. Ashoor et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
