Task-driven source-detector trajectories in cone-beam computed tomography: I. Theory and methods

J. Webster Stayman, Sarah Capostagno, Grace J. Gang, Jeffrey H. Siewerdsen

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


We develop a mathematical framework for the design of orbital trajectories that are optimal to a particular imaging task (or tasks) in advanced cone-beam computed tomography systems that have the capability of general source-detector positioning. The framework allows various parameterizations of the orbit as well as constraints based on imaging system capabilities. To accommodate nonstandard system geometries, a modelbased iterative reconstruction method is applied. Such algorithms generally complicate the assessment and prediction of reconstructed image properties; however, we leverage efficient implementations of analytical predictors of local noise and spatial resolution that incorporate dependencies of the reconstruction algorithm on patient anatomy, x-ray technique, and geometry. These image property predictors serve as inputs to a taskbased performance metric defined by detectability index, which is optimized with respect to the orbital parameters of data acquisition. We investigate the framework of the task-driven trajectory design in several examples to examine the dependence of optimal source-detector trajectories on the imaging task (or tasks), including location and spatial-frequency dependence. A variety of multitask objectives are also investigated, and the advantages to imaging performance are quantified in simulation studies.

Original languageEnglish (US)
Article number025002
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
  • Optimization
  • Robotic C-arm
  • Task function
  • Task-driven imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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