Development of new filter bank for detection of nodular patterns and linear patterns in medical images

Systems and Computers in Japan

Volumn 36, Issue 13, 2005, Pages 81-91

  Nakayama, Ryohei ^a   Uchiyama, Yoshikazu ^a  

^a MIE UNIVERSITY   (Japan)

Author keywords

Computer aided diagnosis; Filter bank; Hessian matrix; Wavelet analysis

Indexed keywords

COMPUTER-AIDED DIAGNOSIS; FILTER BANK; HESSIAN MATRIX; WAVELET ANALYSIS;

IMAGE PROCESSING; LINEAR SYSTEMS; MEDICAL IMAGING; RADIOGRAPHY;

PATTERN RECOGNITION;

EID: 27844482446     PISSN: 08821666     EISSN: None     Source Type: Journal    
DOI: 10.1002/scj.20171     Document Type: Article

References (18)

1. Doi K, MacMahon H, Katsuragawa S, Nishikawa RM, Jiang Y. Computer-aided diagnosis in radiology: Potential and pitfall. Eur J Radiol 1993;31:97-109.
2. Kim K, Kobatake H. Extraction of microcalcifications by morphology filter based on multiple structural elements. Trans IEICE 1992;J75-D-II: 1170-1176.
3. Okuno K, Kobatake H, Nawano S, Nakajima N, Takeo H. Development of an adaptive system for microcalcification detection. Med Imaging Technol 1996;14:27-32.
4. Isohe Y, Okubo N, Yamamoto S, Toriwaki J, Kobatake H. Characteristics of quoit filter a digital filter developed for the extraction of circumscribed shadows and its applications to mammograms. Trans IEICE 1993;J76-D-II:279-287.
5. Ishida T, Katsuragawa S, Kobayashi T, MacMahon H, Doi K. Computerized analysis of interstitial disease in chest radiographs: Improvement of geometric-pattern feature analysis. Med Phys 1997;24:915-924.
6. Shimizu A, Hasegawa J, Toriwaki J. Characteristics of minimum directional difference filter which extracts circumscribed shadows in chest x-ray images. Trans IEICE 1993;J76-D-II:241-249.
7. Shimizu A, Hasegawa J, Toriwaki J. Characteristics of rotary second-order difference filter for computer-aided diagnosis of medical images. Trans IEICE 1995;J78-D-II:29-39.
8. Giger ML, Doi K, MacMahon H. Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields. Med Phys 1988;15:158-166.
9. Xu XW, Doi K, Kobayashi T, MacMahon H, Giger ML. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images. Med Phys 1997;24:1395-1403.
10. Strang G, Nguyen T. Wavelets and filter banks. Welley-Cambridge Press; 1996.
11. Kiya H. Multi-rate signal processing. Shokodo Co.; 1995.
12. Mallat S, Zhang S. Characterization of signal from multiscale edges. IEEE Trans Pattern Anal Mach Intell 1992; 14:710-732.
13. Sawada A, Sato Y, Kido H, Tamura S. Detection of pulmonary nodules on lung x-ray images: Studies on mulli-rcsolutional filter and energy subtraction images. Med Imaging Technol 1999; 17:81-91.
14. Kuramitsu T, Shimizu K, Shibata H, Tanaka M, Yasuhara Y, Ikezoe J, Sato Y, Tamura S, Yanagihara H. Approach based on eigenvalues of Hessian matrix of Gaussian-convolved volume density to discriminate pulmonary nodules from vessels within data from multi-detector row CT examination of the thorax. Med Imaging Technol 2001;19:196-207.
15. Sato Y, Nakajima S, Shiraga N, Atsumi H, Yoshida S, Koller T, Gerig G, Kikinis R. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Med Imaging Anal 1998;2:143-168.
16. Sato Y, Westin CF, Bhalerao A, Nakajima S, Shiraga N, Tamura S, Kikinis R. Tissue classification based on 3D local intensity structures for volume rendering. IEEE Trans Vis Comput Graphics 2000;6:160-180.
17. Uchiyama R, Yamamoto H. Enhancement of fine structure in medical image using wavelet analysis. Trans Soc Computer-Assisted Image Diagnosis 1998;2:1-7.
18. Uchiyama Y, Yamamoto K. Enhancement of microcalcifications in mammograms using dyadic wavelet analysis. Med Imaging Technol 1999;17:261-271.