BACKGROUND: This study presents a tracker-less image-mapping framework for surgical navigation motivated by the clinical need for intuitive visual guidance during minimally invasive fetoscopic surgery. METHODS: A navigation framework mapping 2D endoscopic vision to a 3D ultrasound image model is proposed. This maps an endoscopic image onto a 3D placenta model through a one-time ultrasound image-based localization method followed by a series of concurrent image alignments and texture mapping of the untracked endoscopic video stream. RESULTS: The mean absolute error of our ultrasound image-based localization method was (1.63 mm, 0.93°). The simulation analysis reveals an upper bound mapping performance with a mean error of 1.53 mm. In a phantom experiment, the overall mapping performance is close to this accuracy and achieves a mean absolute error of 2 mm, thereby supporting the feasibility of this method. CONCLUSION: This novel integration of intraoperative visual guidance has potential contributions to innovative fusions of image guidance techniques for effective navigation in minimally invasive fetoscopic surgery.
BACKGROUND: This study presents a tracker-less image-mapping framework for surgical navigation motivated by the clinical need for intuitive visual guidance during minimally invasive fetoscopic surgery. METHODS: A navigation framework mapping 2D endoscopic vision to a 3D ultrasound image model is proposed. This maps an endoscopic image onto a 3D placenta model through a one-time ultrasound image-based localization method followed by a series of concurrent image alignments and texture mapping of the untracked endoscopic video stream. RESULTS: The mean absolute error of our ultrasound image-based localization method was (1.63 mm, 0.93°). The simulation analysis reveals an upper bound mapping performance with a mean error of 1.53 mm. In a phantom experiment, the overall mapping performance is close to this accuracy and achieves a mean absolute error of 2 mm, thereby supporting the feasibility of this method. CONCLUSION: This novel integration of intraoperative visual guidance has potential contributions to innovative fusions of image guidance techniques for effective navigation in minimally invasive fetoscopic surgery.
Authors: Javad Fotouhi; Bernhard Fuerst; Alex Johnson; Sing Chun Lee; Russell Taylor; Greg Osgood; Nassir Navab; Mehran Armand Journal: Int J Comput Assist Radiol Surg Date: 2017-05-19 Impact factor: 2.924
Authors: Daniil I Nikitichev; Dzhoshkun I Shakir; François Chadebecq; Marcel Tella; Jan Deprest; Danail Stoyanov; Sébastien Ourselin; Tom Vercauteren Journal: J Vis Exp Date: 2017-02-23 Impact factor: 1.355
Authors: Anouk Marlon van der Schot; Esther Sikkel; Marc Erich August Spaanderman; Frank Patrick Hector Achilles Vandenbussche Journal: Prenat Diagn Date: 2022-08-29 Impact factor: 3.242