A tool to visualize and analyze perfusion data: Development and application of the R package "CTP".

Academic Article

Abstract

  • BACKGROUND AND OBJECTIVE: Computed tomography perfusion (CTP) is a widely used imaging modality especially in neuroimaging. Despite this, CTP is often prohibitive due to the dearth of free/open-source software. This could have wide-ranging implications for instruction and research. We have implemented an online-available CTP tool built and run completely within the R computing environment. METHODS: Called from within R, the user can select one of four different methods to construct a cerebral blood flow (CBF) map: (1) max-slope (2) singular value decomposition (3) block circulant singular value decomposition or (4) oscillation minimization singular value decomposition. The four methods are compared against a digital CBF phantom. RESULTS: All four methods generate a CBF map, with the oscillation minimization technique giving the most accurate map. CONCLUSIONS: We have constructed an easily accessible teaching and research tool to create a CBF map and made it freely available. We hope this tool will help facilitate understanding of the methods involved in constructing perfusion maps and be a valuable resource to future researchers.
  • Keywords

  • Humans, Neuroimaging, Phantoms, Imaging, Software, Tomography, X-Ray Computed
  • Digital Object Identifier (doi)

    Author List

  • Lirette ST; Smith AD; Aban IB
  • Start Page

  • 11
  • End Page

  • 17
  • Volume

  • 153