Type of publication: | Artikel in einem Konferenzbericht |
Buchtitel: | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Jahr: | 2007 |
Monat: | August 23rd-26th |
Ort: | Lyon, France |
Notiz: | OCT-based Neuro-Imaging |
Abriss: | A method for white matter detection in Optical Coherence Tomography A-Scans is presented. The Kalman filter is used to obtain a slope change estimate of the intensity signal. The estimate is subsequently analyzed by an spike detection algorithm and then evaluated by a neural network binary classifier (Perceptron). The capability of the proposed method is shown through the quantitative evaluation of simulated A-Scans, as well as applying the method on data obtained from a rat's brain in vitro. Results show that the developed algorithm identifies less false positives than other two spike detection methods, thus, enhancing the robustness and quality of detection. |
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