Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Study of different Time Attenuation Curve processing in liver CT perfusion

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
D'Anto, M. ; Dept. of Biomed., Electron. & Telecommun. Eng., Univ. Federico II, Naples, Italy ; Cesarelli, M. ; Bifulco, P. ; Romano, M.
more authors

Perfusion CT is a feasible technique for obtaining quantitative informations about tumor-related vascularization of liver. Time Attenuation Curve (TAC) computation is the first step to obtain perfusion parameters from mathematical modeling. We apply “slope method” analysis to TAC to assess arterial blood flow (BFa) in liver tumor (HCC-Hepatocellular Carcinoma). A new algorithm which removes outlier points of TAC was proposed to correct motion artifacts that affect Hounsfield Unit measurement. Two different procedures were then applied to fit the original data points of tumor TAC. Moreover, in this study we compared three methods of TAC processing (a spline smoothing interpolation, a gamma fitting, no fitting with analysis on raw data) in the evaluation of BFa in liver tumors. A group of eight HCC patients was analyzed to evaluate the BFa tumor variability related to these different approaches. The results of this work demonstrated that TAC data processing influences the assessment of BFa in HCC patients and that smoothing spline interpolation is a good processing method to reduce irregularities of tumor liver TAC, preserving its basic shape.

Published in:

Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on

Date of Conference:

3-5 Nov. 2010