PURPOSE: Accurate registration of patient anatomy and preoperative computed tomography (CT) images is key to successful image-guided spine surgery. Current manual landmark and surface-based techniques are time-consuming and not always accurate. Intraoperative ultrasound imaging of the vertebrae, combined with automated registration, could improve surgery by improving accuracy, reducing operative time, and decreasing invasiveness. METHODS: We present a simple ultrasound-CT registration technique that is automated, accurate, and robust. Registration is achieved by aligning the posterior vertebral surface, extracted from both CT and ultrasound images, using a forward and a backward scan line tracing method, respectively. The registration technique is validated using a simple plastic phantom in a water bath and a more realistic porcine cadaver in a simulation of open back surgery. RESULTS: Clinically relevant accuracy was estimated by comparing automated registrations with gold standard imaging fiducial-based reference transformations, which yielded target registration errors of under 1 mm for the plastic phantom and under 1.6 mm for the porcine cadaver. CONCLUSIONS: Our registration technique demonstrates good accuracy and robustness under clinically realistic conditions and thus warrants further studies on its surgical application.
PURPOSE: Accurate registration of patient anatomy and preoperative computed tomography (CT) images is key to successful image-guided spine surgery. Current manual landmark and surface-based techniques are time-consuming and not always accurate. Intraoperative ultrasound imaging of the vertebrae, combined with automated registration, could improve surgery by improving accuracy, reducing operative time, and decreasing invasiveness. METHODS: We present a simple ultrasound-CT registration technique that is automated, accurate, and robust. Registration is achieved by aligning the posterior vertebral surface, extracted from both CT and ultrasound images, using a forward and a backward scan line tracing method, respectively. The registration technique is validated using a simple plastic phantom in a water bath and a more realistic porcine cadaver in a simulation of open back surgery. RESULTS: Clinically relevant accuracy was estimated by comparing automated registrations with gold standard imaging fiducial-based reference transformations, which yielded target registration errors of under 1 mm for the plastic phantom and under 1.6 mm for the porcine cadaver. CONCLUSIONS: Our registration technique demonstrates good accuracy and robustness under clinically realistic conditions and thus warrants further studies on its surgical application.
Authors: G P Penney; D C Barratt; C S K Chan; M Slomczykowski; T J Carter; P J Edwards; D J Hawkes Journal: Med Image Anal Date: 2006-03-07 Impact factor: 8.545
Authors: Charles X B Yan; Benoît Goulet; Sean Jy-Shyang Chen; Donatella Tampieri; D Louis Collins Journal: Int J Comput Assist Radiol Surg Date: 2011-11-24 Impact factor: 2.924
Authors: Charles X B Yan; Benoît Goulet; Donatella Tampieri; D Louis Collins Journal: Int J Comput Assist Radiol Surg Date: 2012-06-15 Impact factor: 2.924
Authors: Simrin Nagpal; Purang Abolmaesumi; Abtin Rasoulian; Ilker Hacihaliloglu; Tamas Ungi; Jill Osborn; Victoria A Lessoway; John Rudan; Melanie Jaeger; Robert N Rohling; Dan P Borschneck; Parvin Mousavi Journal: Int J Comput Assist Radiol Surg Date: 2015-07-15 Impact factor: 2.924
Authors: Emran Mohammad Abu Anas; Alexander Seitel; Abtin Rasoulian; Paul St John; David Pichora; Kathryn Darras; David Wilson; Victoria A Lessoway; Ilker Hacihaliloglu; Parvin Mousavi; Robert Rohling; Purang Abolmaesumi Journal: Int J Comput Assist Radiol Surg Date: 2015-04-07 Impact factor: 2.924
Authors: Oliver Zettinig; Benjamin Frisch; Salvatore Virga; Marco Esposito; Anna Rienmüller; Bernhard Meyer; Christoph Hennersperger; Yu-Mi Ryang; Nassir Navab Journal: Int J Comput Assist Radiol Surg Date: 2017-02-24 Impact factor: 2.924
Authors: Abtin Rasoulian; Alexander Seitel; Jill Osborn; Samira Sojoudi; Saman Nouranian; Victoria A Lessoway; Robert N Rohling; Purang Abolmaesumi Journal: Int J Comput Assist Radiol Surg Date: 2015-06-03 Impact factor: 2.924