A new visualization method for navigated bronchoscopy

Abstract Objective: In flexible endoscopy techniques, such as bronchoscopy, there is often a challenge visualizing the path from start to target based on preoperative data and accessing these during the procedure. An example of this is visualizing only the inside of central airways in bronchoscopy. Virtual bronchoscopy (VB) does not meet the pulmonologist’s need to detect, define and sample the frequent targets outside the bronchial wall. Our aim was to develop and study a new visualization technique for navigated bronchoscopy. Material and methods: We extracted the shortest possible path from the top of the trachea to the target along the airway centerline and a corresponding auxiliary route in the opposite lung. A surface structure between the centerlines was developed and displayed. The new technique was tested on non-selective CT data from eight patients using artificial lung targets. Results: The new display technique anchored to centerline curved surface (ACCuSurf) made it easy to detect and interpret anatomical features, targets and neighboring anatomy outside the airways, in all eight patients. Conclusions: ACCuSurf can simplify planning and performing navigated bronchoscopy, meets the challenge of improving orientation and register the direction of the moving endoscope, thus creating an optimal visualization for navigated bronchoscopy.

[1]  Erlend Fagertun Hofstad,et al.  CustusX: an open-source research platform for image-guided therapy , 2015, International Journal of Computer Assisted Radiology and Surgery.

[2]  Douglas C McCrory,et al.  Performance characteristics of different modalities for diagnosis of suspected lung cancer: summary of published evidence. , 2003, Chest.

[3]  Ralf Eberhardt,et al.  Multimodality bronchoscopic diagnosis of peripheral lung lesions: a randomized controlled trial. , 2007, American journal of respiratory and critical care medicine.

[4]  Håkon Olav Leira,et al.  A novel research platform for electromagnetic navigated bronchoscopy using cone beam CT imaging and an animal model , 2011, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[5]  Ralf Eberhardt,et al.  Electromagnetic navigation diagnostic bronchoscopy in peripheral lung lesions. , 2007, Chest.

[6]  Vincent Mora,et al.  Assessing performance in brain tumor resection using a novel virtual reality simulator , 2013, International Journal of Computer Assisted Radiology and Surgery.

[7]  Frank Lindseth,et al.  GPU accelerated segmentation and centerline extraction of tubular structures from medical images , 2013, International Journal of Computer Assisted Radiology and Surgery.

[8]  E A Millar,et al.  The Scottish multi-centre prospective study of bronchoscopy for bronchial carcinoma and suggested audit standards. , 1998, Respiratory medicine.

[9]  F. Lindseth,et al.  Navigated Bronchoscopy: A Technical Review , 2014, Journal of bronchology & interventional pulmonology.

[10]  Marco Nolden,et al.  The Medical Imaging Interaction Toolkit , 2004, Medical Image Anal..

[11]  M. Wahidi,et al.  Establishing the diagnosis of lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. , 2013, Chest.

[12]  Yan Zhang,et al.  Combined application of laryngoscopy and flexible bronchoscopy in endobronchial foreign body extraction , 2016, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.