A real-time artifact reduction algorithm based on precise threshold during short-separation optical probe insertion in neurosurgery

作者: Weitao Li , Yangyang Liu , Yubing Liu , Yingxu Jiang , Zhiyu Qian

DOI: 10.1142/S1793545816500310

关键词: Artifact (error)System of measurementLook-aheadSeparation (aeronautics)Artificial intelligenceComputer scienceBoundary (topology)Signal processingComputer visionCalibrationImaging phantomAlgorithm

摘要: During neurosurgery, an optical probe has been used to guide the micro-electrode, which is punctured into globus pallidus (GP) create a lesion that can relieve cardinal symptoms. Accurate target localization key factor affect treatment. However, considering scattering nature of tissue, “look ahead distance (LAD)” makes boundary between different tissues blurred and difficult be distinguished, defined as artifact. Thus, it highly desirable reduce artifact caused by LAD. In this paper, real-time algorithm based on precise threshold was proposed eliminate The value determined maximum error measurement system during calibration procession automatically. Then, measured data processed sequentially only former data. Moreover, 100μm double-fiber two-layer multi-layer phantom models were utilized validate precision algorithm. one puncture step, proved in theory experiment. It concluded present method could LAD make real sharper less real-time. might potentially for neurosurgery navigation.

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