Study of different time Attenuation Curve processing in liver CT perfusion

M. D'Antò, M. Cesarelli, P. Bifulco, M. Romano, V. Cerciello, F. Fiore, A. Vecchione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB
DOIs
Publication statusPublished - 2010
Event10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010 - Corfu, Greece
Duration: Nov 2 2010Nov 5 2010

Other

Other10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010
CountryGreece
CityCorfu
Period11/2/1011/5/10

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

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