title: Live ultrasound volume reconstruction using scout scanning.
abstract: BACKGROUND
  Ultrasound-guided interventions often necessitate scanning of deep-seated anatomical structures that may be hard to visualize. Visualization can be improved using reconstructed 3D ultrasound volumes. High-resolution 3D reconstruction of a large area during clinical interventions is challenging if the region of interest is unknown. We propose a two-stage scanning method allowing the user to perform quick low-resolution scouting followed by high-resolution live volume reconstruction.
  
  
  METHODS
  Scout scanning is accomplished by stacking 2D tracked ultrasound images into a low-resolution volume. Then, within a region of interest defined in the scout scan, live volume reconstruction can be performed by continuous scanning until sufficient image density is achieved. We implemented the workflow as a module of the open-source 3D Slicer application, within the SlicerIGT extension and building on the PLUS toolkit.
  
  
  RESULTS
  Scout scanning is performed in a few seconds using 3 mm spacing to allow region of interest definition. Live reconstruction parameters are set to provide good image quality (0.5 mm spacing, hole filling enabled) and feedback is given during live scanning by regularly updated display of the reconstructed volume.
  
  
  CONCLUSIONS
  Use of scout scanning may allow the physician to identify anatomical structures. Subsequent live volume reconstruction in a region of interest may assist in procedures such as targeting needle interventions or estimating brain shift during surgery.
authors.affiliation: Telecom Physique Strasbourg, University of Strasbourg, France ; Queen's University, Kingston, Canada.
authors.forename: Amelie
authors.initials: A
authors.lastname: Meyer
authors.affiliation: Queen's University, Kingston, Canada.
authors.forename: Andras
authors.initials: A
authors.lastname: Lasso
authors.affiliation: Queen's University, Kingston, Canada.
authors.forename: Tamas
authors.initials: T
authors.lastname: Ungi
authors.affiliation: Queen's University, Kingston, Canada.
authors.forename: Gabor
authors.initials: G
authors.lastname: Fichtinger
keywords: 3D Slicer; ultrasound; visualization; volume reconstruction