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Article type: Research Article
Authors: Chen, Mianyia; b | Kalra, Mannudeep K.c | Yun, Wenbingd | Cong, Wenxiangb | Yang, Qingsongb | Nguyen, Terryb | Wei, Biaoa | Wang, Geb; *
Affiliations: [a] Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China | [b] Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA | [c] Department of Radiology, Massachusetts General Hospital, Boston, MA, USA | [d] Sigray, Inc., Concord, CA, USA
Correspondence: [*] Corresponding author: Ge Wang, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. Tel.: +1 5186982500; Fax: +1 5182764233; E-mail: [email protected].
Abstract: To reduce the radiation dose and the equipment cost associated with lung CT screening, in this paper we propose a mixed reality based nodule measurement method with an active shutter stereo imaging system. Without involving hundreds of projection views and subsequent image reconstruction, we generated two projections of an iteratively placed ellipsoidal volume in the field of view and merging these synthetic projections with two original CT projections. We then demonstrated the feasibility of measuring the position and size of a nodule by observing whether projections of an ellipsoidal volume and the nodule are overlapped from a human observer’s visual perception through the active shutter 3D vision glasses. The average errors of measured nodule parameters are less than 1 mm in the simulated experiment with 8 viewers. Hence, it could measure real nodules accurately in the experiments with physically measured projections.
Keywords: Mixed reality, stereo imaging, lung nodule, detection, qualification
DOI: 10.3233/XST-160578
Journal: Journal of X-Ray Science and Technology, vol. 24, no. 4, pp. 615-625, 2016
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