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
  • [31] Computer-aided Diagnosis of Various Diseases Using Ultrasonography Images
    Mohit, Kumar
    Gupta, Rajeev
    Kumar, Basant
    CURRENT MEDICAL IMAGING, 2024, 20
  • [32] Computer-aided diagnosis in abdominal and cardiac radiology using neural networks
    Tsai, DY
    Sekiya, M
    Lee, Y
    8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING, 2001, : 375 - 379
  • [33] Autonomous Detection of Solitary Pulmonary Nodules on CT Images for Computer-Aided Diagnosis
    Wei Ying
    Jia Tong
    Lin Ming-xiu
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 4054 - 4059
  • [34] Computer-aided diagnosis system for lung cancer based on helical CT images
    Kakinuma, R
    Ohmatsu, H
    Kaneko, M
    Eguchi, K
    Niki, N
    Moriyama, N
    RADIOLOGY, 1996, 201 : 9716 - 9716
  • [35] Challenges for computer-aided diagnosis for CT colonography
    Summers, RM
    ABDOMINAL IMAGING, 2002, 27 (03): : 268 - 274
  • [36] Challenges for computer-aided diagnosis for CT colonography
    R. M. Summers
    Abdominal Imaging, 2002, 27 : 268 - 274
  • [37] Computer-aided pattern classification system for dermoscopy images
    Abbas, Qaisar
    Celebi, M. Emre
    Fondon, Irene
    SKIN RESEARCH AND TECHNOLOGY, 2012, 18 (03) : 278 - 289
  • [38] Computer-aided diagnosis workstation and database system for chest diagnosis based on multihelical CT images
    Satoh, Hitoshi
    Niki, Noboru
    Mori, Kiyoshi
    Eguchi, Kenji
    Kaneko, Masahiro
    Kakinuma, Ryutarou
    Moriyama, Noriyuki
    Ohmatsu, Hironobu
    Masuda, Hideo
    Machida, Suguru
    Sasagawa, Michizou
    MEDICAL IMAGING 2006: PACS AND IMAGING INFORMATICS, 2006, 6145
  • [39] Computer-Aided Diagnosis of Melanoma Subtypes Using Reflectance Confocal Images
    Mandal, Ankita
    Priyam, Siddhaant
    Chan, Hsien Herbert
    Gouveia, Bruna Melhoranse
    Guitera, Pascale
    Song, Yang
    Baker, Matthew Arthur Barrington
    Vafaee, Fatemeh
    CANCERS, 2023, 15 (05)
  • [40] COMPUTER-AIDED DIAGNOSIS OF ACUTE ABDOMINAL-PAIN
    DRISCOLL, P
    VINCENT, C
    BRITISH MEDICAL JOURNAL, 1987, 294 (6563): : 56 - 56