title: Uncertainty assessment of imaging techniques for the 3D reconstruction of stent geometry.
abstract: This paper presents a quantitative assessment of uncertainty for the 3D reconstruction of stents. This study investigates a CP stent (Numed, USA) used in congenital heart disease applications with a focus on the variance in measurements of stent geometry. The stent was mounted on a model of patient implantation site geometry, reconstructed from magnetic resonance images, and imaged using micro-computed tomography (CT), conventional CT, biplane fluoroscopy and optical stereo-photogrammetry. Image data were post-processed to retrieve the 3D stent geometry. Stent strut length, separation angle and cell asymmetry were derived and repeatability was assessed for each technique along with variation in relation to μCT data, assumed to represent the gold standard. The results demonstrate the performance of biplanar reconstruction methods is comparable with volumetric CT scans in evaluating 3D stent geometry. Uncertainty on the evaluation of strut length, separation angle and cell asymmetry using biplanar fluoroscopy is of the order ±0.2mm, 3° and 0.03, respectively. These results support the use of biplanar fluoroscopy for in vivo measurement of 3D stent geometry and provide quantitative assessment of uncertainty in the measurement of geometric parameters.
authors.affiliation: Department of Mechanical Engineering, University College London, London, UK; Centre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science & Great Ormond Street Hospital for Children, London, UK.
authors.forename: Daria
authors.initials: D
authors.lastname: Cosentino
authors.affiliation: Medical Physics Group, Department of Cardiovascular Science, University of Sheffield, Sheffield, UK; INSIGNEO Institute for in silico medicine, University of Sheffield, Sheffield, UK.
authors.forename: Iwona
authors.initials: I
authors.lastname: Zwierzak
authors.affiliation: Centre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science & Great Ormond Street Hospital for Children, London, UK.
authors.forename: Silvia
authors.initials: S
authors.lastname: Schievano
authors.affiliation: Department of Mechanical Engineering, University College London, London, UK.
authors.forename: Vanessa
authors.initials: V
authors.lastname: Díaz-Zuccarini
authors.affiliation: Medical Physics Group, Department of Cardiovascular Science, University of Sheffield, Sheffield, UK; INSIGNEO Institute for in silico medicine, University of Sheffield, Sheffield, UK.
authors.forename: John W
authors.initials: JW
authors.lastname: Fenner
authors.affiliation: Medical Physics Group, Department of Cardiovascular Science, University of Sheffield, Sheffield, UK; INSIGNEO Institute for in silico medicine, University of Sheffield, Sheffield, UK. Electronic address: a.j.narracott@sheffield.ac.uk.
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Narracott
mesh_terms: D000465:Algorithms; D054893:Cone-Beam Computed Tomography / Q000379:methods; D005471:Fluoroscopy / Q000379:methods; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D061848:Optical Imaging / Q000379:methods; D010780:Photogrammetry / Q000379:methods; D015203:Reproducibility of Results; D015607:Stents; D014057:Tomography, X-Ray Computed / Q000379:methods; D035501:Uncertainty; D055114:X-Ray Microtomography / Q000379:methods
keywords: Analysis; Computed tomography; Fluoroscopy; Imaging; Reconstruction; Stent