In-vivo perfusion quantification by contrast ultrasound:Validation of the use of linearized video data vs. raw RF data

Nicolas G. Rognin, Peter Frinking, Maria Costa, Marcel Arditi

Research output: Contribution to journalConference article

54 Citations (Scopus)

Abstract

Perfusion quantification software commonly analyzes compressed video images provided by ultrasound systems. to analysis of raw RF signals, errors in perfusion estimates may be introduced, even when proper is applied to reverse the log-compression. In this , the effects of log-compression, demodulation, scan and 8-bit quantization have been investigated, in of the errors introduced on perfusion parameter estimates. in-vivo contrast bolus sequence was processed using both raw data and linearized video data. The outcome is that log-compressed video sequences can provide estimates accurate as processing RF data under two conditions: a) gain should be such as to prevent both excessive of pixel values to minimum level and saturation to level; b) the dynamic range of log-compression should 45 dB or higher.

Original languageEnglish
Article number4803409
Pages (from-to)1690-1693
Number of pages4
JournalProceedings - IEEE Ultrasonics Symposium
DOIs
Publication statusPublished - Dec 1 2008
Event2008 IEEE International Ultrasonics Symposium, IUS 2008 - Beijing, China
Duration: Nov 2 2008Nov 5 2008

Keywords

  • Contrast agent
  • Linearization
  • Log compression
  • Perfusion
  • Quantification
  • Radiofrequency
  • Video

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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