A dynamic adaptive region growing segmentation algorithm for tumor of liver CT images

Hong Song; Yong Wang; Xiao Chuan Huang; Jia Jia Li; Chun Meng Zhang

A dynamic adaptive region growing segmentation algorithm for tumor of liver CT images

Hong Song^*, Yong Wang, Xiao Chuan Huang, Jia Jia Li, Chun Meng Zhang

^*此作品的通讯作者

计算机学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用（Scopus）

摘要

A novel algorithm is proposed to segment the tumor region of human liver CT image. Firstly, the region of interest (ROI) is segmented using the dynamic adaptive region growing method. Then the wormhole of the ROI is filled by morphological filtering to get the tumor region. Groups of CT images are used to test the efficiency of our algorithm. The experiments show that the algorithm is very useful for segmenting the tumor region of liver CT images. It is extremely important for calculating tumor volume and clinical treatment of the liver tumor.

源语言	英语
页（从-至）	72-76
页数	5
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	34
期	1
出版状态	已出版 - 1月 2014

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引用此

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title = "A dynamic adaptive region growing segmentation algorithm for tumor of liver CT images",

abstract = "A novel algorithm is proposed to segment the tumor region of human liver CT image. Firstly, the region of interest (ROI) is segmented using the dynamic adaptive region growing method. Then the wormhole of the ROI is filled by morphological filtering to get the tumor region. Groups of CT images are used to test the efficiency of our algorithm. The experiments show that the algorithm is very useful for segmenting the tumor region of liver CT images. It is extremely important for calculating tumor volume and clinical treatment of the liver tumor.",

keywords = "Dynamic adaptive region growing, Liver CT, Morphological filtering, Tumor segmentation",

author = "Hong Song and Yong Wang and Huang, {Xiao Chuan} and Li, {Jia Jia} and Zhang, {Chun Meng}",

year = "2014",

month = jan,

language = "English",

volume = "34",

pages = "72--76",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

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publisher = "Beijing Institute of Technology",

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TY - JOUR

T1 - A dynamic adaptive region growing segmentation algorithm for tumor of liver CT images

AU - Song, Hong

AU - Wang, Yong

AU - Huang, Xiao Chuan

AU - Li, Jia Jia

AU - Zhang, Chun Meng

PY - 2014/1

Y1 - 2014/1

N2 - A novel algorithm is proposed to segment the tumor region of human liver CT image. Firstly, the region of interest (ROI) is segmented using the dynamic adaptive region growing method. Then the wormhole of the ROI is filled by morphological filtering to get the tumor region. Groups of CT images are used to test the efficiency of our algorithm. The experiments show that the algorithm is very useful for segmenting the tumor region of liver CT images. It is extremely important for calculating tumor volume and clinical treatment of the liver tumor.

AB - A novel algorithm is proposed to segment the tumor region of human liver CT image. Firstly, the region of interest (ROI) is segmented using the dynamic adaptive region growing method. Then the wormhole of the ROI is filled by morphological filtering to get the tumor region. Groups of CT images are used to test the efficiency of our algorithm. The experiments show that the algorithm is very useful for segmenting the tumor region of liver CT images. It is extremely important for calculating tumor volume and clinical treatment of the liver tumor.

KW - Dynamic adaptive region growing

KW - Liver CT

KW - Morphological filtering

KW - Tumor segmentation

UR - http://www.scopus.com/inward/record.url?scp=84896959000&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84896959000

SN - 1001-0645

VL - 34

SP - 72

EP - 76

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 1

ER -

A dynamic adaptive region growing segmentation algorithm for tumor of liver CT images

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