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Software Design On Signal Processing Of Fluorescence Spectroscopy For Localization Of Nasopharyngeal Carcinoma

Posted on:2006-07-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y P LinFull Text:PDF
GTID:2168360155962399Subject:Optical Engineering
Abstract/Summary:PDF Full Text Request
Based on researching medical optical biopsy of early nasopharyngeal carcinoma, we design the software on signal processing of fluorescence spectroscopy for diagnosis and localization of nasopharyngeal carcinoma. First, we analyze the theory of fluorescence spectrum. Second, we introduce the optical biopsy technique for nasopharyngeal carcinoma which is the detecting method for this system. Third, the optical and the hardware design are illustrated. Based on these theories, we design the software on signalprocessing by the virtual instrument design tool------LabVIEW. We present themodules on detail, the technique of calibration's processing is discussed; we also introduce the synchronization between the hardware and the software, and use the DAQ board's hardware digital trigger to start the signal acquisition. We use the classical numerical analytical method to process the signal data and display it in many ways. You can save the signal data at any time and store it to database. This software is the base software and provides the processing method for the optical biopsy, especially the localization of early nasopharyngeal carcinoma.To test the synchronization of signal acquisition and the accuracy of the wavelength calibration, we design the synchronization testing experiment. The result demonstrates that the software which we design has a good accuracy of the wavelength calibration and the synchronization between the hardware and the software, the performance of the whole system works well. It also has a powerful analysis and display function. The system is conveniently to be used, and it shows promise for developing the optical biopsy technology of early nasopharyngeal carcinoma.
Keywords/Search Tags:fluorescence spectroscopy, nasopharyngeal carcinoma, optical biopsy, signal processing, virtual instrument
PDF Full Text Request
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