References
- K. Doi, "Current status and future potential of computeraided diagnosis in medical imaging," The British Journal of Radiology, vol. 78, pp. S3-S19, 2005. https://doi.org/10.1259/bjr/63353075
- M.L. Giger, K. Doi, H. MacMahon, "Image feature analysis and computer-aided diagnosis in digital radiography: Automated detection of nodules in peripheral lung fields," Medical Physics, vol. 15, no. 2, pp.158-166, 1988. https://doi.org/10.1118/1.596247
- S. Katsuragawa, K. Doi, H. MacMahon, "Image feature analysis and computer-aided diagnosis in digital radiography: Detection and characterization of interstitial lung disease in digital chest radiographs," Medical Physics, vol. 15, no. 3, pp. 311-319, 1988. https://doi.org/10.1118/1.596224
- A.Kano, K.Doi, H.MaxMahon et al. : "Digital image subtraction of temporally sequential chest images for detection of interval change," Med. Phy., vol.21, no.3, pp.453-461(1994). https://doi.org/10.1118/1.597308
- T.Ishida , K.Ashizawa , R.Engelmanm et al. : "Application of temporal subtraction for detection of subtraction images using automated initial image matching," Journal of Digital Imaging, vol.12, no.2, pp.77-86 (1999). https://doi.org/10.1007/BF03168846
- T.Ishida, S.Katsuragawa, K. Nakamura et al.:"Iterative image warping technique for temporal subtraction of sequential chest radiographs to detect interval change," Med. Phys., vol.26, no.7, pp.1320-1329(1999). https://doi.org/10.1118/1.598627
- S. Kakeda, K. Nakamura, K. Kamada, H. Watanabe, H. Nakata, S. Katsuragawa, K. Doi, "Improved Detection of Lung Nodules by Using a Temporal Subtraction Technique," Radiology, vol. 224, no. 1, pp. 145-151, 2002. https://doi.org/10.1148/radiol.2241010719
- S. Kakeda, K. Kamada, Y. Hatakeyama, T. Aoki, Y. Korogi, S. Katsuragawa, K. Doi, "Effect of Temporal Subtraction Technique on Interpretation Time and Diagnostic Accuracy of Chest Radiography," American Journal of Roentgenology, vol. 187, no. 5, pp. 1253-1259, 2006. https://doi.org/10.2214/AJR.05.1270
- Takao H, Doi I, Watanabe T, Tateno M: Temporal subtraction of thin-section thoracic computed tomography based on a 3-dimensional nonlinear geometric warping technique, J. Computer Assisted Tomography 30:283-286, 2006. https://doi.org/10.1097/00004728-200603000-00023
- Li Q, Katsuragawa S, Doi K: Improved contralateral subtraction images by use of elastic matching technique, Med. Phys 27:1934-1943, 2000. https://doi.org/10.1118/1.1287112
- Y. Itai, H. Kim, S. Ishikawa, S. Katsuragawa and K. Doi, "A new registration method with voxel-matching technique for temporal subtraction images," Proc. SPIE 6915:691531(2008).
- Kim, Miyake, Tan, Ishikawa, Murakami, Aoki: "A Method for Reduction of Subtraction Artifacts on Temporal Subtraction Images by Use of Generalized Gradient Vector Flow Technique," Joint Meeting combining The 3rd meeting of Japanese Society of Pulmonary Functional Imaging and 5th International Workshop for Pulmonary Functional Imaging, p.162 (2011).
- Itai Y, Kim H, Ishikawa S, Ishida T, Kawashita I, Awai K, Li Q, Doi K: 3D elastic matching for temporal subtraction employing thorax MDCT image, Proc. of the World Congress on Med. Phys. and Biomedical Engineering: 2181-2191, 2006.
- Itai Y. Kim H, Ishiwaka S, Katsuragawa S, Ishida T, Doi K: Development of temporal subtraction multislice CT images by using a 3D local matching with a genetic algorithm, Proc. The 92nd Radiological Society of North America: 779, 2006.
- C. Xu et al., "Generalized Gradient Vector Flow External Forces for Active Contours," Sig. Proc. An Intl. Jour., 71(2), pp.131-139(1998).
- H.Kobakake and S.Hashimoto, "Convergence index filter for vector fields," IEEE Trans. Image Process., vol.8, no.8, pp.1029-1038(1999). https://doi.org/10.1109/83.777084
- J.Wei, Y.Hagihara, and H.Kobatake, "Detection of cancerous tumors on chest X-ray images - Candidate detection filter and its application," Proc. ICIP, AP4.2(1999).
Cited by
- Extraction of GGO Candidate Regions on Thoracic CT Images using SuperVoxel-Based Graph Cuts for Healthcare Systems pp.1572-8153, 2018, https://doi.org/10.1007/s11036-018-1111-2