TY - GEN
T1 - Extraction of the liver tumor in CT images by real coded genetic algorithm (RGA)
AU - Nakamichi, Koh
AU - Karungaru, Stephen
AU - Fukumi, Minoru
AU - Akashi, Takuya
AU - Mitsukura, Yasue
AU - Yasutomo, Motokatsu
PY - 2006
Y1 - 2006
N2 - In Japan, diet-linked diseases are increasing owing to the reasons of diversified and meat-oriented diet. Disease of an internal organ and brain disease are those instances. Furthermore regardless of race, increase in fatalities by cancer, cardiac disease and cerebropathy is a social issue. Medical equipments as the CT, MRI and ultrasonography (US) is used for these sick discoveries. The demand for Medical Equipments has increased. The doctor's load is increasing as it increases. The purpose of this work is the construction of an automatic diagnosis support system for CT images in order to reduce the doctor's load. Toward this end, in this paper, a method to extract liver tumors in CT images using a real-coded genetic algorithm is proposed. Conventionally, a threshold is necessary to extract an object from an image. However, such a method is not effective for CT images because gray scale values are different in each image. Therefore, in this paper, we propose the method for extracting the tumor in the liver from the CT image without the need of a threshold. In this method, a polygon enclosure of the liver tumor is extracted using a GA.
AB - In Japan, diet-linked diseases are increasing owing to the reasons of diversified and meat-oriented diet. Disease of an internal organ and brain disease are those instances. Furthermore regardless of race, increase in fatalities by cancer, cardiac disease and cerebropathy is a social issue. Medical equipments as the CT, MRI and ultrasonography (US) is used for these sick discoveries. The demand for Medical Equipments has increased. The doctor's load is increasing as it increases. The purpose of this work is the construction of an automatic diagnosis support system for CT images in order to reduce the doctor's load. Toward this end, in this paper, a method to extract liver tumors in CT images using a real-coded genetic algorithm is proposed. Conventionally, a threshold is necessary to extract an object from an image. However, such a method is not effective for CT images because gray scale values are different in each image. Therefore, in this paper, we propose the method for extracting the tumor in the liver from the CT image without the need of a threshold. In this method, a polygon enclosure of the liver tumor is extracted using a GA.
KW - CT images
KW - Cancer
KW - Extraction
KW - Liver tumor
KW - Medical imaging
KW - Real-coded genetic algorithm
KW - Segmentation
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M3 - Conference contribution
AN - SCOPUS:49949152649
SN - 0889866023
SN - 9780889866027
T3 - Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006
SP - 366
EP - 371
BT - Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006
T2 - 2nd IASTED International Conference on Computational Intelligence, CI 2006
Y2 - 20 November 2006 through 22 November 2006
ER -
