title: A mixed reality approach for stereo-tomographic quantification of lung nodules.
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.
authors.affiliation: Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China.|Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
authors.forename: Mianyi
authors.initials: M
authors.lastname: Chen
authors.affiliation: Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
authors.forename: Mannudeep K
authors.initials: MK
authors.lastname: Kalra
authors.affiliation: Sigray, Inc., Concord, CA, USA.
authors.forename: Wenbing
authors.initials: W
authors.lastname: Yun
authors.affiliation: Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
authors.forename: Wenxiang
authors.initials: W
authors.lastname: Cong
authors.affiliation: Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
authors.forename: Qingsong
authors.initials: Q
authors.lastname: Yang
authors.affiliation: Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
authors.forename: Terry
authors.initials: T
authors.lastname: Nguyen
authors.affiliation: Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China.
authors.forename: Biao
authors.initials: B
authors.lastname: Wei
authors.affiliation: Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
authors.forename: Ge
authors.initials: G
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Mixed reality; detection; lung nodule; qualification; stereo imaging