Abstract
Three computer-aided detection (CAD) projects are hosted at the Gifu University, Japan as part of the “Knowledge Cluster Initiative” of the Japanese Government. These projects are regarding the development of CAD systems for the early detection of (1) cerebrovascular diseases using brain MRI and MRA images by detecting lacunar infarcts, unruptured aneurysms, and arterial occlusions; (2) ocular diseases such as glaucoma, diabetic retinopathy, and hypertensive retinopathy using retinal fundus images; and (3) breast cancers using ultrasound 3-D volumetric whole breast data by detecting the breast masses. The brain CAD system achieves a sensitivity of 96.8% at 0.71 false positive (FP) per image for the lacunar-infarct detection, and 93.8% at 1.2 FPs per patient for the small unruptured aneurysm detection. The sensitivity and specificity for the detection of abnormal cases with arterial occlusions in MRA images are 80.0% and 95.3%, respectively. For the glaucoma detection using the retinal fundus CAD system, a sensitivity and specificity of 77.8% and 74.5% are obtained in the analysis of the optic nerve head and a sensitivity of 61.5% at 1.3 FPs per image is achieved in the detection of the retinal nerve fiber layer defects. Hemorrhages and exudates in diabetic retinopathy diagnosis are detected at a sensitivity and specificity of 84.6% and 20.6%, respectively, for the former and 76.9% and 83.3%, respectively, for the latter. For hypertensive retinopathy, the arteriolar-narrowing scheme can identify 76.2% of true positives at 1.4 FPs per image. For the breast CAD system, the image viewer that constructs the breast volume image data is developed, which also includes the CAD function with a sensitivity of 80.5% at 3.8 FPs per breast. The CAD schemes are still being improved for all the systems along with an increase in the number of image databases. Clinical examinations will be started soon, and commercialized CAD systems for the above subjects will appear by the completion of this project.
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References
Health and Welfare Statistics Association: Vital Statistics of Japan 2003. 1, 300–301 (2003)
Yokoyama, R., Zhang, X., Uchiyama, Y., Fujita, H., Hara, T., Zhou, X., Kanematsu, M., Asano, T., Kondo, H., Goshima, S., Hoshi, H., Iwama, T.: Development of an Automated Method for the Detection of Chronic Lacunar Infarct Regions in Brain MR images. IEICE Trans. Inf. & Syst. E90-D(6), 943–954 (2007)
Uchiyama, Y., Yokoyama, R., Ando, H., Asano, T., Kato, H., Yamakawa, H., Yamakawa, H., Hara, T., Iwama, T., Hoshi, H., Fujita, H.: Computer-Aided Diagnosis Scheme for Detection of Lacunar Infarcts on MR Images. Academic Radiology (in press)
Uchiyama, Y., Ando, H., Yokoyama, R., Hara, T., Fujita, H., Iwama, T.: Computer-Aided Diagnosis Scheme for Detection of Unruptured Intracranial Aneurysms in MR Angiography. In: Proc. of IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, pp. 3031–3034 (2005)
Uchiyama, Y., Yamauchi, M., Ando, H., Yokoyama, R., Hara, T., Fujita, H., Iwama, T.: Automatic Classification of Cerebral Arteries in MRA Images and Its Application to Maximum Intensity Projection. In: Proc. of IEEE Engineering in Medicine and Biology 28th Annual Conference, New York, USA, pp. 4865–4868 (2006)
Yamauchi, M., Uchiyama, Y., Yokoyama, R., Hara, T., Fujita, H., Ando, H., Yamakawa, H., Iwama, T., Hoshi, H.: Computerized Scheme for Detection of Arterial Occlusion in Brain MRA images. In: Proc. of SPIE Medical Imaging 2007: Computer-Aided Diagnosis, vol. 6514, pp. 65142C-1-65142C-9 (2007)
Iwase, A., Suzuki, Y., Areie, M., et al.: Tajimi Study Group, Japan Glaucoma Society: The Prevalence of Primary Open-angle Glaucoma in Japanese The Tajimi Study. Ophthalmology 111(9), 1641–1648 (2004)
Yamamoto, T., Iwase, A., Araie, M.: Tajimi Study Group, Japan Glaucoma Society: The Tajimi Study Report 2: Prevalence of Primary Angle Closure and Secondary Glaucoma in a Japanese Population. Ophthalmology 112(10), 1661–1669 (2005)
Quigley, H., Broman, A.: The Number of People with Glaucoma Worldwide in 2010 and 2020. Br. J. Ophthalmol. 90, 262–267 (2006)
Nakagawa, T., Hayashi, Y., Hatanaka, Y., Aoyama, A., Hara, T., Kakogawa, M., Fujita, H., Yamamoto, T.: Comparison of the Depth of an Optic Nerve Head Obtained using Stereo Retinal Images and HRT. In: Proc. of SPIE Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, vol. 6511, pp. 65112M-1-65112M-9 (2007)
Nakagawa, T., Hayashi, Y., Hatanaka, Y., Aoyama, A., Hara, T., Kakogawa, M., Fujita, H., Yamamoto, T.: Cup Region Extraction of Optic Nerve Head for Three-Dimensional Retinal Fundus Image. Proc. of Asian Forum on Medical Imaging, IEICE Technical Report 106(510), 26–27 (2007)
Hayashi, Y., Nakagawa, T., Hatanaka, Y., Aoyama, A., Kakogawa, M., Hara, T., Fujita, H., Yamamoto, T.: Detection of Retinal Nerve Fiber Layer Defects in Retinal Fundus Images using Gabor Filtering. In: Proc. of SPIE Medical Imaging 2007: Computer-Aided Diagnosis, vol. 6514, pp. 65142Z-1–65142Z-8 (2007)
Hatanaka, Y., Nakagawa, T., Hayashi, Y., Fujita, A., Kakogawa, M., Kawase, K., Hara, T., Fujita, H.: CAD Scheme to Detect Hemorrhages and Exudates in Ocular Fundus Images. In: Proc. of SPIE Medical Imaging 2007: Computer-Aided Diagnosis, vol. 6514, pp. 65142M-1–65142M-8 (2007)
Hayashi, T., Nakagawa, T., Hatanaka, Y., Hayashi, Y., Aoyama, A., Mizukusa, Y., Fujita, A., Kakogawa, M., Hara, T., Fujita, H.: An Artery-vein Classification Using Top-hat Image and Detection of Arteriolar Narrowing on Retinal Images. IEICE Technical Report 107(57), 127–132 (2007) [in Japanese]
Minami, Y., Tsubono, Y., Nishino, Y., Ohuchi, N., Shibuya, D., Hisamichi, S.: The Increase of Female Breast Cancer Incidence in Japan: Emergence of Birth Cohort Effect. Int. J. Cancer 108(6), 901–906 (2004)
Ikedo, Y., Fukuoka, D., Hara, T., Fujita, H., Takada, E., Endo, T., Morita, T.: Development of a fully automatic scheme for detection of masses in whole breast ultrasound images. Medical Physics 34(11), 4378–4388 (2007)
Ikedo, Y., Fukuoka, D., Hara, T., Fujita, H., Takada, E., Endo, T., Morita, T.: Computerized mass detection in whole breast ultrasound images: Reduction of false positives using bilateral subtraction technique. In: Proc. of SPIE Medical Imaging 2007: Computer-Aided Diagnosis, vol. 6514, pp. 65141T-1-65141T-10 (2007)
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Fujita, H. et al. (2008). CAD on Brain, Fundus, and Breast Images. In: Gao, X., Müller, H., Loomes, M.J., Comley, R., Luo, S. (eds) Medical Imaging and Informatics. MIMI 2007. Lecture Notes in Computer Science, vol 4987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79490-5_42
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DOI: https://doi.org/10.1007/978-3-540-79490-5_42
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