Abstract
Electronic colon cleansing (ECC) is an alternative method that can be used to remove remaining tagged fecal material from colon during polyp detection in virtual colonoscopy (VC). This paper presents a new method for automatic electronic colon cleansing using gradient magnitude and similarity measure to detect and remove tagged material from colon in CTC images. First, Canny edge detection and 8-adjacency are used to generate closed boundary for low density (air) and high density regions (tagged material and bone). Then similarity measure is used to classify pixels into high density regions, and all the pixels that are classified as high density materials are removed. Finally, gradient magnitude and thresholding are used to detect AT and ATT layers. The proposed method was evaluated on four pilot dadasets from two patients and the experimental results reveal that the proposed method can perform colon cleansing effectively.
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Chunhapongpipat, K., Vajragupta, L., Chaopathomkul, B., Cooharojananone, N., Lipikorn, R. (2009). Automatic Colon Cleansing in CTC Image Using Gradient Magnitude and Similarity Measure. In: Ślęzak, D., Pal, S.K., Kang, BH., Gu, J., Kuroda, H., Kim, Th. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2009. Communications in Computer and Information Science, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10546-3_11
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DOI: https://doi.org/10.1007/978-3-642-10546-3_11
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