Task-driven source-detector trajectories in cone-beam computed tomography: II. Application to neuroradiology

Sarah Capostagno, J. Webster Stayman, Matthew Jacobson, Tina Ehtiati, Clifford R. Weiss, Jeffrey H. Siewerdsen

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


We apply the methodology detailed in "Task-driven source-detector trajectories in cone-beam computed tomography: I. Theory and methods" by Stayman et al. for task-driven optimization of source-detector orbits in cone-beam computed tomography (CBCT) to scenarios emulating imaging tasks in interventional neuroradiology. The task-driven imaging framework is used to optimize the CBCT source-detector trajectory by maximizing the detectability index, d. The approach was applied to simulated cases of endovascular embolization of an aneurysm and arteriovenous malformation and was translated to real data first using a CBCT test bench followed by implementation on an interventional robotic C-arm. Task-driven trajectories were found to generally favor higher fidelity (i.e., less noisy) views, with an average increase in d ranging from 7% to 28%. Visually, this resulted in improved conspicuity of particular stimuli by reducing the noise and altering the noise correlation to a form distinct from the spatial frequencies associated with the imaging task. The improvements in detectability and the demonstration of the task-driven workflow using a real interventional imaging system show the potential of the task-driven imaging framework to improve imaging performance on motorized, multiaxis C-arms in neuroradiology.

Original languageEnglish (US)
Article number025004
JournalJournal of Medical Imaging
Issue number2
StatePublished - Apr 1 2019


  • cone-beam computed tomography
  • detectability index
  • image quality
  • imaging task
  • interventional imaging
  • model-based image reconstruction
  • neuroradiology
  • optimization
  • robotic C-arm
  • task function
  • task-driven imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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