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- W2068674914 abstract "Virtual image-based bronchoscopy guidance systems have been found to be useful for carrying out accurate and skillindependentbronchoscopies. A crucial step to the success of these systems during a live procedure is the local registrationof the current real bronchoscope position to the virtual bronchoscope of the guidance system. The synchronization betweenthe live and the virtual bronchoscope is generally lost during adverse events such as patient coughing with guidance oftenadversely disrupted. Manual intervention by an assisting technician often helps in recovering from such a disruption,but this results in extra procedure time and some potential uncertainty in the locally registered position. To rectify thisdifficulty, we present for the first time a global registration algorithm that identifies the bronchoscope position withoutthe need for significant bronchoscope maneuvers or technician intervention. The method involves a fast local registrationsearch over all the branches in a global airway-bifurcation search space, with the weighted normalized sum of squaresdistance metric used for finding the best match. We have achieved a global registration accuracy near 90% in tests overa set of three different virtual bronchoscopic cases and with live guidance in an airway phantom. The method showsconsiderable potential for enabling global technician-independent guidance of bronchoscopy, without the need for anyexternal device such as an electromagnetic sensor." @default.
- W2068674914 created "2016-06-24" @default.
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- W2068674914 date "2010-03-04" @default.
- W2068674914 modified "2023-09-23" @default.
- W2068674914 title "Toward image-based global registration for bronchoscopy guidance" @default.
- W2068674914 doi "https://doi.org/10.1117/12.839479" @default.
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