Interventional 4-D C-arm CT perfusion imaging using interleaved scanning and partial reconstruction interpolation

IEEE Trans Med Imaging. 2012 Apr;31(4):892-906. doi: 10.1109/TMI.2011.2181531. Epub 2011 Dec 23.

Abstract

Tissue perfusion measurement during catheter-guided stroke treatment in the interventional suite is currently not possible. In this work, we present a novel approach that uses a C-arm angiography system capable of computed tomography (CT)-like imaging (C-arm CT) for this purpose. With C-arm CT one reconstructed volume can be obtained every 4-6 s which makes it challenging to measure the flow of an injected contrast bolus. We have developed an interleaved scanning (IS) protocol that uses several scan sequences to increase temporal sampling. Using a dedicated 4-D reconstruction approach based on partial reconstruction interpolation (PRI) we can optimally process our data. We evaluated our combined approach (IS-PRI) with simulations and a study in five healthy pigs. In our simulations, the cerebral blood flow values (unit: ml/100 g/min) were 60 (healthy tissue) and 20 (pathological tissue). For one scan sequence the values were estimated with standard deviations of 14.3 and 2.9, respectively. For two interleaved sequences the standard deviations decreased to 3.6 and 1.5, respectively. We used perfusion CT to validate the in vivo results. With two interleaved sequences we achieved promising correlations ranging from r=0.63 to r=0.94. The results suggest that C-arm CT tissue perfusion imaging is feasible with two interleaved scan sequences.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Angiography / methods*
  • Animals
  • Brain / blood supply
  • Brain / diagnostic imaging
  • Cerebrovascular Circulation / physiology
  • Computer Simulation
  • Models, Biological
  • Perfusion Imaging / methods*
  • Phantoms, Imaging
  • Radiographic Image Enhancement / methods*
  • Reproducibility of Results
  • Swine
  • Tomography, X-Ray Computed / methods*