Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/19824
標題: 神經元再生之自動計數方法
An Automatic Regenerated Neuron Counting Method
作者: 曾旭成
Tseng, Shiu-Cheng
關鍵字: nerve regeneration
神經再生
cell counting
image segmentation
細胞計數
影像分割
出版社: 資訊網路多媒體研究所
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Davis, Marc Lenaerts, and Paul Tompkins, “Regeneration of Rat Sciatic Nerve Across a LactoSorb Bioresorbable Conduit with Interposed Short-segment Nerve Grafts,” Journal Of Neurosurgery, Vol. 99, Issue 3, September 2003, pp. 549-554. [13] Shan-Hui Hsu, Chen-Jung Chang, Cheng-Ming Tang, and Fang-Tsun Lin, “In Vitro and In Vivo Effects of Ginkgo Biloba Extract EGb 761 on Seeded Schwann Cells within Poly(DL-lactic acid-co-glycolic acid) Conduits for Peripheral Nerve Regeneration,” Journal of Biomaterials Applications, Vol. 19, No. 2, October 2004, pp. 163-182. [14] Wikipedia, Perineurium, 22 May 2011. http://en.wikipedia.org/wiki/Perineurium. [15] J. Canny, “A Computational Approach to Edge Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, No. 6, pp. 679-698, 1986. [16] R. C. Gonzalez, and R. E. Woods, “Digital Image Processing,” Addison-Wesley, 1992. [17] Kass M., A. Witikin, and D. 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摘要: 由於現代人的生活習慣趨向重複且單調,對生活上的疏忽不注意會造成許多文明病,如長時間不正確的姿勢、過度或缺乏熱身的運動、交通或工作中的意外,都會導致周邊神經受損。周邊神經受損後,輕則導致患部疼痛麻木,重則導致肌肉萎縮和永久喪失功能。有鑑於周邊神經的健康對於人體的重要性,修復神經損傷在醫療和研究上一直是一個重要的課題。 因此研究人員相繼投入神經管手術的相關研究,近年來在神經修復手術與生醫材料上有長足的進步。修復神經斷裂的醫療方法有許多種,主要的神經再生手術是以神經管輔助神經的生長。 在神經再生的醫療過程中,研究人員藉由定期的觀察神經束影像裡的神經元密度,以了解神經束的復原情形。因此,一套自動計算影像中神經元個數的系統,發揮了協助專家準確判斷神經手術的成效及功能,以便進行因應的處理。 本研究的目的在輔助醫療人員進行手術後的神經再生情形追蹤,以利於生醫研究人員進行新一代的神經管開發。目前也有其他系統支援神經元計數的功能,但由於所取得影像的品質不理想,其切割的正確率不佳。本篇論文所提出的方法因加強了物件的輪廓、改善了物件和背景的對比度、減少了影像中的雜訊,使正確率能夠達到98%。
Since the modern lifestyle tends to be repetitive and monotonous, people's negligence in daily life will result in lots of diseases of civilization, such as incorrect posture for a long time, excessive exercises or lack of warm-up and accidents occurred in work or transportation. All of these can lead to the peripheral nerve injury. Peripheral nerve injury will cause pain and numbness in the affected part, and what is worse, muscular dystrophy or permanently lose its function. In view of the importance of the healthy peripheral nerve to human body, it is a big issue in medical care and research for the restoration of nerve injury. As a result of that, an increasing number of researchers devoted themselves to the relevant study of nerve conduit surgery. In recent years, they have made considerable progress in the surgery of nerve restoration and biomedical materials. There are many kinds of medical treatment to restore the neurotmesis. The major peripheral nerve surgery for regenerating the severed nerve uses an artificial nerve conduit to help the nerve to grow. In the medical process of nerve regeneration, the researchers comprehend the recovery of nerve fasciculus by observing the density of neurons in the nerve fasciculus' image. Therefore, a system that calculate automatically the number of neurons in the image can help experts conclude accurately the effectiveness of nerve surgery and the recovery of nerve function for further approach. This study is aimed to assist the paramedics in keeping track of the nerve regeneration after surgery in order to facilitate biomedical researchers to develop the nerve conduit of the new generation. Although there are other systems to support the counting function of neurons, the image quality is not ideal and the accuracy rate of counting is poor. In this thesis, we present a method for strengthening the contour of the object, improving the contrast of the object with the background, and reducing the noises in the image, so as to increase the accuracy rate of counting to 98%.
URI: http://hdl.handle.net/11455/19824
其他識別: U0005-2308201113394800
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2308201113394800
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