Assessment of tumor blood flow distribution by dynamic contrast-enhanced CT

• Main Authors: Koh, Tong San, Shi, Wen, Thng, Choon Hua, Ho, Juliana Teng Swan, Khoo, James Boon Kheng, Cheong, Dennis Lai Hong, Lim, Tchoyoson C. C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering; Cerebral Tumors; Perfusion Imaging
• Online Access: https://hdl.handle.net/10356/106005; http://hdl.handle.net/10220/48893; https://doi.org/10.1109/TMI.2013.2258404
• Institution: Nanyang Technological University

A distinct feature of the tumor vasculature is its tortuosity and irregular branching of vessels, which can translate to a wider dispersion and higher variability of blood flow in the tumor. To enable tumor blood flow variability to be assessed in vivo by imaging, a tracer kinetic model that account...