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Liu X, Mao J, Sun N, Yu X, Chai L, Tian Y, Wang J, Liang J, Tao H, Wang Z, Lu L. Comparison Between the Stereoscopic Virtual Reality Display System and Conventional Computed Tomography Workstation in the Diagnosis and Characterization of Cerebral Arteriovenous Malformations. J Digit Imaging 2023; 36:1910-1918. [PMID: 37039950 PMCID: PMC10406736 DOI: 10.1007/s10278-023-00807-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 02/15/2023] [Accepted: 03/06/2023] [Indexed: 04/12/2023] Open
Abstract
It is difficult to accurately understand the angioarchitecture of cerebral arteriovenous malformations (CAVMs) before surgery using existing imaging methods. This study aimed to evaluate the ability of the stereoscopic virtual reality display system (SVRDS) to display the angioarchitecture of CAVMs by comparing its accuracy with that of the conventional computed tomography workstation (CCTW). Nineteen patients with CAVM confirmed on digital subtraction angiography (DSA) or during surgery were studied. Computed tomography angiography images in the SVRDS and CCTW were retrospectively analyzed by two experienced neuroradiologists using a double-blind method. Angioarchitectural parameters, such as the location and size of the nidus, type and number of the arterial feeders and draining veins, and draining pattern of the vessels, were recorded and compared. The diameter of the nidus ranged from 1.1 to 9 cm. Both CCTW and SVRDS correctly diagnosed the location of the nidus in 19 patients with CAVM. Among the 19 patients, 35 arterial feeders and 25 draining veins were confirmed on DSA and during surgery. With the DSA and intraoperative results as the gold standard bases, the CCTW misjudged one arterial feeder and one draining vein and missed three arterial feeders and two draining veins; meanwhile, the SVRDS missed only two arterial feeders. SVRDS had some advantages in displaying nidus, arterial branches, and draining veins of the CAVM compared with CCTW, as well as SVRDS could more intuitively display the overall angio-architectural spatial picture of CAVM.
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Affiliation(s)
- Xiujuan Liu
- Department of Radiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Kangning Road, Xiangzhou District, Zhuhai, Guangdong, 519000, China
| | - Jun Mao
- Department of Radiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Kangning Road, Xiangzhou District, Zhuhai, Guangdong, 519000, China
| | - Ning Sun
- Engineering Research Center of Wideband Wireless Communication Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, 210000, Jiangsu, China
| | - Xiangrong Yu
- Department of Radiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Kangning Road, Xiangzhou District, Zhuhai, Guangdong, 519000, China
| | - Lei Chai
- Engineering Research Center of Wideband Wireless Communication Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, 210000, Jiangsu, China
| | - Ye Tian
- Department of Radiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Kangning Road, Xiangzhou District, Zhuhai, Guangdong, 519000, China
| | - Jianming Wang
- Department of Radiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Kangning Road, Xiangzhou District, Zhuhai, Guangdong, 519000, China
| | - Jianchao Liang
- Department of Radiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Kangning Road, Xiangzhou District, Zhuhai, Guangdong, 519000, China
| | - Haiquan Tao
- Department of Neurosurgery, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, 519000, Guangdong, China
| | - Zhishun Wang
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA.
| | - Ligong Lu
- Department of Radiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Kangning Road, Xiangzhou District, Zhuhai, Guangdong, 519000, China.
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Liu X, Tao H, Xiao X, Guo B, Xu S, Sun N, Li M, Xie L, Wu C. Use of the stereoscopic virtual reality display system for the detection and characterization of intracranial aneurysms: A Icomparison with conventional computed tomography workstation and 3D rotational angiography. Clin Neurol Neurosurg 2018; 170:93-98. [PMID: 29753884 DOI: 10.1016/j.clineuro.2018.04.034] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 09/04/2017] [Accepted: 04/28/2018] [Indexed: 10/17/2022]
Abstract
OBJECTIVE This study aimed to compare the diagnostic performance of the stereoscopic virtual reality display system with the conventional computed tomography (CT) workstation and three-dimensional rotational angiography (3DRA) for intracranial aneurysm detection and characterization, with a focus on small aneurysms and those near the bone. PATIENTS AND METHODS First, 42 patients with suspected intracranial aneurysms underwent both 256-row CT angiography (CTA) and 3DRA. Volume rendering (VR) images were captured using the conventional CT workstation. Next, VR images were transferred to the stereoscopic virtual reality display system. Two radiologists independently assessed the results that were obtained using the conventional CT workstation and stereoscopic virtual reality display system. The 3DRA results were considered as the ultimate reference standard. RESULTS Based on 3DRA images, 38 aneurysms were confirmed in 42 patients. Two cases were misdiagnosed and 1 was missed when the traditional CT workstation was used. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the conventional CT workstation were 94.7%, 85.7%, 97.3%, 75%, and99.3%, respectively, on a per-aneurysm basis. The stereoscopic virtual reality display system missed a case. The sensitivity, specificity, PPV, NPV, and accuracy of the stereoscopic virtual reality display system were 100%, 85.7%, 97.4%, 100%, and 97.8%, respectively. No difference was observed in the accuracy of the traditional CT workstation, stereoscopic virtual reality display system, and 3DRA in detecting aneurysms. CONCLUSION The stereoscopic virtual reality display system has some advantages in detecting small aneurysms and those near the bone. The virtual reality stereoscopic vision obtained through the system was found as a useful tool in intracranial aneurysm diagnosis and pre-operative 3D imaging.
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Affiliation(s)
- Xiujuan Liu
- Department of CT Room, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Haiquan Tao
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China
| | - Xigang Xiao
- Department of CT Room, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Binbin Guo
- Department of Ultrasound, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Shangcai Xu
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Na Sun
- Department of CT Room, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Maotong Li
- Department of CT Room, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Li Xie
- Department of Ultrasound, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Changjun Wu
- Department of Ultrasound, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
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Chen M, Kalra MK, Yun W, Cong W, Yang Q, Nguyen T, Wei B, Wang G. A mixed reality approach for stereo-tomographic quantification of lung nodules. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2016; 24:615-625. [PMID: 27232199 DOI: 10.3233/xst-160578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
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.
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Affiliation(s)
- Mianyi Chen
- Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Mannudeep K Kalra
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Wenxiang Cong
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Qingsong Yang
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Terry Nguyen
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Biao Wei
- Key Laboratory of Optoelectronics Technology and System, Ministry of Education, Chongqing University, Chongqing, China
| | - Ge Wang
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
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Bogdanova R, Boulanger P, Zheng B. Three-Dimensional Eye Tracking in a Surgical Scenario. Surg Innov 2015; 22:522-527. [DOI: 10.1177/1553350615573581] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
Introduction. Eye tracking has been widely used in studying the eye behavior of surgeons in the past decade. Most eye-tracking data are reported in a 2-dimensional (2D) fashion, and data for describing surgeons’ behaviors on stereoperception are often missed. With the introduction of stereoscopes in laparoscopic procedures, there is an increasing need for studying the depth perception of surgeons under 3D image-guided surgery. Methods. We developed a new algorithm for the computation of convergence points in stereovision by measuring surgeons’ interpupillary distance, the distance to the view target, and the difference between gaze locations of the 2 eyes. To test the feasibility of our new algorithm, we recruited 10 individuals to watch stereograms using binocular disparity and asked them to develop stereoperception using a cross-eyed viewing technique. Participants’ eye motions were recorded by the Tobii eye tracker while they performed the trials. Convergence points between normal and stereo-viewing conditions were computed using the developed algorithm. Results. All 10 participants were able to develop stereovision after a short period of training. During stereovision, participants’ eye convergence points were 14 ± 1 cm in front of their eyes, which was significantly closer than the convergence points under the normal viewing condition (77 ± 20 cm). Conclusion. By applying our method of calculating convergence points using eye tracking, we were able to elicit the eye movement patterns of human operators between the normal and stereovision conditions. Knowledge from this study can be applied to the design of surgical visual systems, with the goal of improving surgical performance and patient safety.
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Affiliation(s)
| | | | - Bin Zheng
- University of Alberta,Edmonton, AB, Canada
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