title: Second-generation three-dimensional reconstruction for rotational three-dimensional angiography.
abstract: OBJECTIVE
  The purpose of this study was to assess the feasibility and accuracy of three-dimensional (3D) reconstruction techniques for digital subtraction angiography (DSA) in planning and evaluation of minimally invasive image-controlled therapy.
  
  
  METHODS
  Using a standard, commercially available system, the authors acquired DSA images and corrected them for inherent distortions. They designed and implemented parallel and multiresolution versions of cone-beam reconstruction techniques to reconstruct high-resolution targeted volumes in a short period of time. Testing was performed on anatomically correct, calibrated in vitro models of a cerebral aneurysm. These models were used with a pulsatile circulation circuit to allow for blood flow simulation during DSA, computed tomographic (CT) angiography, and magnetic resonance (MR) angiography image acquisitions.
  
  
  RESULTS
  The multiresolution DSA-based reconstruction protocol and its implementation allowed the authors to achieve reconstruction times and levels of accuracy for the volume measurement of the aneurysmal cavities that were considered compatible with actual clinical practice. Comparison with data obtained from other imaging modalities shows that, besides vascular tree depiction, the DSA-based true 3D technique provides volume estimates at least as good as those obtained from CT and MR angiography.
  
  
  CONCLUSIONS
  The authors demonstrated the feasibility and potential of true 3D reconstruction for angiographic imaging with DSA. On the basis of the model testing, this work addresses both the timing and quantification required to support minimally invasive image-controlled therapy.
authors.affiliation: Laboratory of Functional and Multidimensional Imaging, Geneva University Hospitals, Switzerland.
authors.forename: L M
authors.initials: LM
authors.lastname: Bidaut
authors.forename: C
authors.initials: C
authors.lastname: Laurent
authors.forename: M
authors.initials: M
authors.lastname: Piotin
authors.forename: P
authors.initials: P
authors.lastname: Gailloud
authors.forename: M
authors.initials: M
authors.lastname: Muster
authors.forename: J H
authors.initials: JH
authors.lastname: Fasel
authors.forename: D A
authors.initials: DA
authors.lastname: Rüfenacht
authors.forename: F
authors.initials: F
authors.lastname: Terrier
mesh_terms: D000465:Algorithms; D015901:Angiography, Digital Subtraction; D002536:Cerebral Arteries / Q000000981:diagnostic imaging*; D005240:Feasibility Studies; D006801:Humans; D007091:Image Processing, Computer-Assisted; D002532:Intracranial Aneurysm / Q000000981:diagnostic imaging*; D019047:Phantoms, Imaging; D011856:Radiographic Image Enhancement / Q000379:methods*