Computer-Aided Diagnosis Scheme for Detection of Lacunar Infarcts on MR Images

Academic Radiology

Volumn 14, Issue 12, 2007, Pages 1554-1561

  Uchiyama, Yoshikazu ^a   Yokoyama, Ryujiro ^a   Ando, Hiromich ^b   Asano, Takahiko ^a   Kato, Hiroki ^a   Yamakawa, Hiroyasu ^a,c   Yamakawa, Haruki ^a,c   Hara, Takeshi ^a   Iwama, Toru ^a   Hoshi, Hiroaki ^a   Fujita, Hiroshi ^a  

^a GIFU UNIVERSITY   (Japan)

^b Gifu Municipal Hospital   (Japan)

^c Chuno Kousei Hospital   (Japan)

Author keywords

computer aided diagnosis (CAD); filter bank; Lacunar infarcts; magnetic resonance imaging; support vector machine

Indexed keywords

ADULT; AGED; ANALYTIC METHOD; ARTICLE; BRAIN INFARCTION; BRAIN REGION; COMPUTER ASSISTED RADIOGRAPHY; CONTROLLED STUDY; DATA BASE; DIFFUSION WEIGHTED IMAGING; HUMAN; LABORATORY DIAGNOSIS; MAJOR CLINICAL STUDY; NEURORADIOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RADIOLOGIST; SENSITIVITY ANALYSIS;

ADULT; AGED; AGED, 80 AND OVER; BRAIN INFARCTION; CEREBRAL ARTERIES; DIAGNOSIS, COMPUTER-ASSISTED; FALSE POSITIVE REACTIONS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; LATERAL VENTRICLES; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; RADIOLOGY INFORMATION SYSTEMS;

EID: 36148931017     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2007.09.012     Document Type: Article

References (28)

1. Health and Welfare Statistics Association. Vital Stat Jap (2003) 1
2. Yokoyama R., Lee Y., Hara T., et al. An automated detection of lacunar infarct regions in brain MR images: preliminary study (in Japanese). Jap J Radiol Tech 58 (2002) 399-405
3. Yokoyama R., Matsui A., and Fujita H. Development of an automated method for detection of lacunar infarct regions on brain MR images. Proc 19th Int Congress Exhibition CARS 2005. International Conference Series 1281 (2005) 1407
4. Uchiyama Y., Matsui A., Yokoyama R., et al. CAD scheme for detection of lacunar infarcts in brain MR image. Int J Comp Assisted Radiol Surg 1 (2006) 382-385
5. Uchiyama Y., Ando H., and Yokoyama R. Computer-aided diagnosis scheme for detection of unruptured intracranial aneurysms in MR angiography. Proc IEEE Engineering Med Biol 27th Annu Int Conf (2005) 3031-3034
6. Uchiyama Y., Yamauchi M., and Ando H. Automated classification of cerebral arteries in MRA images and its application to maximum intensity projection. Proc IEEE Engineering Med Biol 28th Annu Int Conf (2006) 4865-4868
7. Yamauchi M., Uchiyama Y., Yokoyama R., et al. Computerized scheme for detection of arterial occlusion in brain MRA images. Proc SPIE Med Imaging, Computer-Aided Diagnosis (2007) 65142C-1-65142C-9
8. Arimura H., Li Q., Korogi Y., et al. Automated computerized scheme for detection of unruptured intracranial aneurysms in three-dimensional MRA. Acad Radiol 11 (2004) 1093-1104
9. Arimura H., Li Q., Korogi Y., et al. Computerized detection of intracranial aneurysms for three-dimensional MR angiography: feature extraction of small protrusions based on a shape-based difference image technique. Med Phys 33 (2006) 394-401
10. Hayashi N., Masutani Y., Matsumoto H., et al. Feasibility of a curvature-based enhanced display system for detection cerebral aneurysms in MR angiography. Magn Res Med Sci 2 (2003) 29-36
11. Kobashi S., Kondo K., and Hata Y. Computer-aided diagnosis of intracranial aneurysms in MRA images with case-based reasoning. IEICE Trans Inform Syst E89-D 1 (2006) 340-350
12. Hirai T., Korogi Y., Arimura H., et al. Intracranial aneurysms at MR angiography: effect of computer-aided diagnosis on radiologists' detection performance. Radiology 237 (2006) 605-610
13. Kobayashi S., Okada K., Koide H., et al. Subcortical silent brain infarction as a risk factor for clinical stroke. Stroke 28 (1997) 1932-1939
14. Vermeer S.E., Hollander M., Dijk E.J., et al. Silent brain infarcts and white matter lesions increase stroke risk in the general population. The Rotterdam Scan Study. Stroke 34 (2003) 1126-1129
15. Boukura H., Kobayashi S., Yamaguchi S., et al. Discrimination of silent lacunar infarction from enlarged Virchow-Robin spaces on brain magnetic resonance imaging and pathological study. J Neurol 245 (1998) 116-122
16. Nakayama R., and Uchiyama Y. Development of new filter bank for detection of nodular pattern and line patterns in medical images. Syst Comp Jap 36 (2005) 81-91
17. Nakayama R., Uchiyama Y., Yamamoto K., et al. Detection of clustered microcalcifications on mammograms using new filter bank. Syst Comp Jap 36 (2005) 68-79
18. Nakayama R., Uchiyama Y., Yamamoto K., et al. Computer-aided diagnosis scheme using a filter bank for detection of microcalcification clusters in mammograms. IEEE Trans Biomed Engineer 53 (2006) 273-283
19. Cristianini N., and Taylor J.S. An introduction to support vector machines and other kernel-based learning methods (2000), Cambridge University Press, New York
20. Theodoridis S., and Koutroumbas K. Pattern recognition (1999), Academic Press, London
21. Metz C.E., Herman B.A., and Shen J.H. Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously distributed data. Stat Med 17 (1998) 1033-1053
22. Johnson R.A., and Wicherm D.W. Applied multivariate statistical analysis (2007), Prentice Hall, Englewood Cliffs, NJ
23. Chakraborty D.P. Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data. Med Phys 16 (1989) 561-568
24. Chan H.P., Doi K., Vyborny C.J., et al. Improvement in radiologists' detection of clustered microcalcifications in mammograms-the potential of computer-aided diagnosis. Invest Radiol 25 (1990) 1102-1110
25. Jiang Y., Nishikawa R.M., Schmidt R.A., et al. Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol 6 (1999) 22-33
26. Kobayashi T., Xu X.W., MacMahon H., et al. Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. Radiology 199 (1996) 843-848
27. Shiraishi J., Abe H., Engelmann R., et al. Computer-aided diagnosis for distinction between benign and malignant solitary pulmonary nodules in chest radiographs: ROC analysis of radiologists' performance. Radiology 227 (2003) 469-474
28. Li F., Arimura H., Suzuki K., et al. Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology 237 (2005) 684-690