Computer-aided diagnosis of splenic enlargement using wave pattern of spleen in abdominal CT images

被引:0
|
作者
Seong, Won [1 ]
Cho, June-Sik [2 ]
Noh, Seung-Moo [2 ]
Park, Jong Won [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept EECS, Taejon, South Korea
[2] Chungnam Natl Univ, Sch Med, Taejon, South Korea
来源
MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3 | 2006年 / 6144卷
关键词
computer-aided diagnosis; abdominal CT images; spleen; liver cirrhosis; wave pattern;
D O I
10.1117/12.651538
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
It is known that the spleen accompanied by liver cirrhosis is hypertrophied or enlarged. We have examined a wave pattern at the left boundary of spleen on the abdominal CT images having liver cirrhosis, and found that they are different from those on the images having a normal liver. It is noticed that the abdominal CT images of patient with liver cirrhosis shows strong bending in the wave pattern. In the case of normal liver, the images may also have a wave pattern, but its bends are not strong. Therefore, the total waving area of the spleen with liver cirrhosis is found to be greater than that of the spleen with a normal liver. Moreover, we found that the waves of the spleen from the image with liver cirrhosis have the higher degree of circularity compared to the normal liver case. Based on the two observations above, we propose an automatic method to diagnose splenic enlargement by using the wave pattern of the spleen in abdominal CT images. The proposed automatic method improves the diagnostic performance compared with the conventional process based on the size of spleen.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Computer-aided diagnosis workstation and network system for chest diagnosis based on miltislice CT images
    Satoh, Hitoshi
    Niki, Noboru
    Mori, Kiyoshi
    Eguchi, Kenji
    Kaneko, Masahiro
    Kakinuma, Ryutarou
    Moriyama, Noriyuki
    Ohmatsu, Hironobu
    Masuda, Hideo
    Machida, Suguru
    MEDICAL IMAGING 2007: PACS AND IMAGING INFORMATICS, 2007, 6516
  • [42] Computer-aided diagnosis workstation and network system for chest diagnosis based on multislice CT images
    Satoh, Hitoshi
    Niki, Noboru
    Eguchi, Kenji
    Moriyama, Noriyuki
    Ohmatsu, Hironobu
    Masuda, Hideo
    Machida, Suguru
    MEDICAL IMAGING 2008: PACS AND IMAGING INFORMATICS, 2008, 6919
  • [43] INTERNAL VALIDATION FOR COMPUTER-AIDED DIAGNOSIS TO PREDICT HISTOLOGY OF SOLID RENAL MASS USING CT IMAGES
    Kamoi, Kazumi
    Herts, Brian
    Berger, Andre
    Crouzet, Sebastien
    Haber, Georges-Pascal
    Gill, Inderbir S.
    JOURNAL OF UROLOGY, 2009, 181 (04): : 217 - 218
  • [44] COMPUTER-AIDED DIAGNOSIS OF ACUTE ABDOMINAL-PAIN
    SUTTON, GC
    BRITISH MEDICAL JOURNAL, 1986, 293 (6553): : 1026 - 1026
  • [45] COMPUTER-AIDED DIAGNOSIS OF ACUTE ABDOMINAL-PAIN
    BROOKS, GJ
    CRAMP, DG
    BRITISH MEDICAL JOURNAL, 1986, 293 (6557): : 1305 - 1305
  • [46] Computer-aided diagnosis workstation and database system for chest diagnosis based on multihelical CT images
    Sato, H
    Niki, N
    Mori, K
    Eguchi, K
    Kaneko, M
    Moriyama, N
    Ohmatsu, H
    Kakinuma, R
    Masuda, H
    Machida, S
    Sasagawa, M
    MEDICAL IMAGING 2004: PACS AND IMAGING INFORMATICS, 2004, 5 (25): : 402 - 412
  • [47] Computer-aided diagnosis workstation and database system for chest diagnosis based on multihelical CT images
    Oyama National College of Technology, Japan
    不详
    不详
    不详
    不详
    不详
    不详
    SPIE - The International Society for Optical Engineering, 1600, 402-412 (2004):
  • [48] COMPUTER-AIDED DIAGNOSIS OF ACUTE ABDOMINAL-PAIN
    DEDOMBAL, FT
    BMJ-BRITISH MEDICAL JOURNAL, 1987, 294 (6563): : 56 - 56
  • [49] Machine learning techniques for pulmonary nodule computer-aided diagnosis using CT images: A systematic review
    Jin, Haizhe
    Yu, Cheng
    Gong, Zibo
    Zheng, Renjie
    Zhao, Yinan
    Fu, Quanwei
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 79
  • [50] Computer-aided tumor diagnosis using shear wave breast elastography
    Moon, Woo Kyung
    Huang, Yao-Sian
    Lee, Yan-Wei
    Chang, Shao-Chien
    Lo, Chung-Ming
    Yang, Min-Chun
    Bae, Min Sun
    Lee, Su Hyun
    Chang, Jung Min
    Huang, Chiun-Sheng
    Lin, Yi-Ting
    Chang, Ruey-Feng
    ULTRASONICS, 2017, 78 : 125 - 133