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Rashid H, Abdel-Moniem A, Email S, El-Batran M, Rashid H, Mansour H, Mahmoud S, Ashour Z, Mustafa S, Khodeer SA, Abdu-Allah AM, Al-Assal M, Rashid HK, Ghosh Dastidar A, Garg P, West J, Muthusamy R, Gunn J, Zhu F, Lee A, Chee YE, Li ZJ, Kang CS, Chen ZY, Zhang YX, Zhao ZX, Song Q, Rong Y, Bao W, Shan ZL, Rong S, Wang D, Yao P, Liu LG, Zhu LX, Ho SC, Ruan GQ, Xie Q, Sit JWH, Yang YL, Chan MCH, Hu M, Chan TYK, Tomlinson B, Wu HS, Wang LS, Qin J, Wong TT, Heng PA, Yu CM, Luis SA, Luis CR, Habibian M, Courtney A, Hamilton-Craig C, Strugnell W, Poon K, Slaughter R, Raffel OC, Raffel OC, Luis SA, Hansen M, Slaughter R, Hamilton-Craig C, Liang Y, Bai Y, Chen T, Feng GX, Yang YM, Wang XY, Yang YJ, Zhu J, Al-Mohammadi M, Hersi A, Alhabib KF, Alsheikh-Ali AA, Sulaiman K, Alfaleh H, Alsaif S, Almahmeed W, Asaad N, Amin H, Al-Motarreb A, Al-Suwaid J, Blanco JRF, Velasco AB, Mancera J, Francisco A, CA, Zhuravlyova L, Lopina N, Song HH, Xu SH, Huang MZ, Xu CS, Xie LD, Ko B, Cameron J, Seneviratne S, Leung M, Antonis P, Koutsoubos J, Malaiapan Y, Meredith I, Capros N, Istrati V, Matcovschi S, Dumitras T, Istrati S, Nicolenco I, Hotineanu R, Manea D, Gherman O, Hsiung MC, Ko CH, Wei J, Tung TH, Graham CA, Chan JWM, Rotherary KR, Rainer TH, Yan B, Liu M, Huang XR, Li RJ, Lam YY, Yu CM. P033 * Evaluation of myocardial function in patients with chronic stable angina and apparent normal ventricular function (tissue doppler study before and after PCI). Eur Heart J Suppl 2012. [DOI: 10.1093/eurheartj/sur025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Youssef AA, Kishk YT, Abdelhafez HA, Bafadhl TA, Tsui PT, Lau CL, Lo YK, Chan NY, Choy CC, Yuen HC, Chu PS, Chow HF, Fong HF, Mok NS, Lau ST, Tsui PT, Lau CL, Lo YK, Chan NY, Choy CC, Yuen HC, Chu PS, Chow HF, Fong HF, Mok NS, Lau ST, Chow HF, Tsui PT, Lau CL, Lo YK, Chan NY, Choy CC, Yuen HC, Chu PS, Fong HF, Mok NS, Lau ST, Chen YL, Yip HK, Chen SY, Poon KKC, Luis SA, Savage M, Raffel OC, Walters DL, Poon KKC, Luis SA, Raffel OC, Aroney C, Walters DL, Qin J, Li S, Wu HS, Wang LS, Wang XX, Wong TT, Yu CM, Heng PA, Liew M, Ong SH, Gan HW, Chai SC, Goh PP, Chair SY, Wong EML, Sit JWH, Leung DYP, So WKW, Chan CWH, Pun SPY, Chan AWK, Sattwika PD, Taufiq N, Kurniawan IWSE, Sattwika KA. P097 * Prognostic significance of high sensitivity C-reactive protein before and after percutaneous coronary intervention in patients with angina pectoris. Eur Heart J Suppl 2012. [DOI: 10.1093/eurheartj/sur030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Allam R, Galal W, El-Damnhoury H, Mortada A, Guo R, Fang F, Xie JM, Zhang Q, Chan YS, Fung WH, Razali O, Azlan H, Lam KH, Chan CK, Yu CM, Wong FMF, Sit JWH, Wong EML, Lee V, Hemingway H, Harb R, Crake T, Lambiase P, Zhao QY, Yu SB, Huang H, Qin M, Cui HY, Huang T, Huang CX, Leung YW, Yue CS, Leung KF, Fung CYR, Mak YMW, Chow KS, Tang SK, Sperzel J, Tscheliessnigg K, Bucx JJJ, Silvestre J, Oza AL, Yu Mironov N, Golitsyn SP, Sokolov SF, Yuricheva YA, Maikov EB, Shlevkov NB, Mareev YV, Rosenstraukh LV, Chazov EI, Li BN, Qin J, Xiang K, Pang WM, Wang LS, Wu HS, Qin J, Wong TT, Yu CM, Heng PA, Clatot J, Ziyadeh-Isleem A, Coulombe A, Maugenre S, Dilanian G, Hatem S, Denjoy I, Neyroud N, Guicheney P, Plameras GB, Valentin MV, Ramirez M, Suga C, Hirahara T, Sugawara Y, Nakajima J, Wakaba H, Ako J, Momomura S, Ye Volkov D, Karpenko YI, Lopin DA, Chair SY, Lee JCK, Choi KC, Sit JWH, Wong EM, Chan CWH, So WKW, Cheng AHY, Hamid AK, Lainchbury JG, Troughton RW, Yandle TG, Frampton CM, Richards AM. P001 * Reversal of endothelial dysfunction after AF cardioversion. Eur Heart J Suppl 2012. [DOI: 10.1093/eurheartj/sur022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Meng Q, Chui YP, Qin J, Kwok WH, Karmakar M, Heng PA. CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data. Stud Health Technol Inform 2011; 163:354-358. [PMID: 21335818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
We introduce the design and implementation of an interactive system for the navigation of cross-sectional anatomy based on Chinese Visible Human (CVH) data, named CvhSlicer. This system is featured in real-time computation and rendering of high-resolution anatomical images on standard personal computers (PCs) equipped with commodity Graphics Processing Units (GPUs). In order to load the whole-body dataset into the memory of a common PC, several processing steps are first applied to compress the huge CVH data. Thereafter, an adaptive CPU-GPU balancing scheme is performed to dynamically distribute rendering tasks among CPU and GPU based on parameters of computing resources. Experimental results demonstrate that our system can achieve real-time performance and has great potential to be used in anatomy education.
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Affiliation(s)
- Q Meng
- Department of Computer Science & Engineering, The Chinese University of Hong Kong
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Shi L, Wang D, Chu WCW, Burwell RG, Freeman BJC, Heng PA, Cheng JCY. Volume-based morphometry of brain MR images in adolescent idiopathic scoliosis and healthy control subjects. AJNR Am J Neuroradiol 2009; 30:1302-7. [PMID: 19386729 DOI: 10.3174/ajnr.a1577] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Adolescent idiopathic scoliosis (AIS) is a spinal deformity with unknown cause. Previous studies have suggested that subclinical neurologic abnormalities are associated with AIS. The objective of this prospective study was to characterize systematically neuroanatomic changes in patients with left thoracic AIS vs right thoracic AIS and healthy control subjects by using volume-based morphometry. MATERIALS AND METHODS Our current study involved 9 girls with left thoracic AIS and 20 girls with right thoracic AIS vs 11 and 17 matched female control subjects, respectively. Voxel-based morphometry (VBM), deformation-based morphometry (DBM), and tensor-based morphometry (TBM) were used to analyze the MR images aligned with a specific brain template of local adolescent girls. The statistical t test was used in VBM and TBM, and the Hotelling T(2) test was applied in DBM. RESULTS Using VBM, we found statistically significant differences (P < .05) in the white matter attenuation of the genu of the corpus callosum and left internal capsule (left thoracic AIS < control subjects). In contrast, no significant differences were observed between patients with right thoracic AIS and control subjects. CONCLUSIONS White matter attenuation in the corpus callosum and left internal capsule, responsible for interhemispheric communication and conduit of the corticothalamic projectional fibers, respectively, were found to be significantly lower in left thoracic AIS compared with control subjects; however, this was not the case in right thoracic AIS. Confirmation of the findings is required in future research, which needs to evaluate the relationship of white matter abnormality to curve laterality, pathogenesis, and prognosis in patients with AIS, with biologic significance and possible therapeutic correction.
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Affiliation(s)
- L Shi
- Departments of Diagnostic Radiology and Organ Imaging, Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
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Qin J, Choi KS, Ho SSM, Heng PA. An adaptive transmission protocol for managing dynamic shared states in collaborative surgical simulation. Stud Health Technol Inform 2008; 132:387-389. [PMID: 18391327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
A force prediction algorithm is proposed to facilitate virtual-reality (VR) based collaborative surgical simulation by reducing the effect of network latencies. State regeneration is used to correct the estimated prediction. This algorithm is incorporated into an adaptive transmission protocol in which auxiliary features such as view synchronization and coupling control are equipped to ensure the system consistency. We implemented this protocol using multi-threaded technique on a cluster-based network architecture.
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Affiliation(s)
- J Qin
- Dept. of Computer Science Engineering, The Chinese University of Hong Kong, Hong Kong
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Qin J, Heng PA, Choi KS, Ho SSM. An adaptive framework using cluster-based hybrid architecture for enhancing collaboration in surgical simulation. Stud Health Technol Inform 2007; 125:367-72. [PMID: 17377305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Research on collaborative virtual surgery opens the opportunity for simulating the cooperative work during surgical operations. It is however a challenging task to design and implement a high performance collaborative surgical simulation system because of the difficulty in maintaining a high level of state consistency under limited network transmission capacity. In this paper, we present an adaptive framework using cluster-based hybrid architecture to support real-time collaboration in surgical simulation. In addition to the TCP communication protocol, the framework is also equipped with UDP for multicasting, allowing for a flexible strategy to reduce network latency. A set of techniques was proposed to assure reliable transmission on top of standard yet unreliable multicast protocols. Experimental results demonstrate that this framework can support collaborative surgical simulation with lower network latencies than traditional client-server architecture.
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Affiliation(s)
- J Qin
- Dept. of Computer Science & Engineering, The Chinese University of Hong Kong
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Abstract
Virtual reality based learning of human anatomy is feasible when a database of 3D organ models is available for the learner to explore, visualize, and dissect in virtual space interactively. In this article, we present our latest work on photorealistic virtual anatomy applications based on the Chinese Visible Human (CVH) data. We have focused on the development of state-of-the-art virtual environments that feature interactive photo-realistic visualization and dissection of virtual anatomical models constructed from ultra-high resolution CVH datasets. We also outline our latest progress in applying these highly accurate virtual and functional organ models to generate realistic look and feel to advanced surgical simulators.
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Affiliation(s)
- P A Heng
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong.
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Chen Q, Zhou ZM, Qu YG, Heng PA, Xia DS. Level set based auto segmentation of the tagged left ventricle MR images. Stud Health Technol Inform 2004; 98:63-5. [PMID: 15544243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Abstract
To facilitate automatic segmentation, we adopt SVM (Support Vector Machine) to localize the left ventricle, and the segmentation is then carried out with narrow band level set. The method of generating the narrow band is improved such that the time used is reduced. Based on the imaging characteristics of the tagged left ventricle MR images, BPV (block-pixel variation) and intensity comparability are introduced to improve the speed term of level set and to increase the precision of segmentation. Our method can perform the segmentation of the tagged left ventricle MR images accurately and automatically.
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Affiliation(s)
- Q Chen
- Department of Computer Nanjing University of Science and Technology, Nanjing
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Heng PA, Fung PF, Wong TT, Siu YH, Sun H. Interactive navigation and bronchial tube tracking in virtual bronchoscopy. Stud Health Technol Inform 1999; 62:130-3. [PMID: 10538342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
An interactive virtual environment for simulation of bronchoscopy is developed. Medical doctor can safely plan their surgical bronchoscopy using the virtual environment without any invasive diagnosis which may risk the patient's health. The 3D pen input device of the system allows the doctor to navigate and visualize the bronchial tree of the patient naturally and interactively. To navigate the patient's bronchial tree, a vessel tracking process is required. While manual tracking is tedious and labor-intensive, fully automatic tracking may not be reliable. We propose a semi-automatic tracking technique called Intelligent Path Tracker which provides automation and enough user control during the vessel tracking. To support an interactive frame rate, we also introduce a new volume rendering acceleration technique, named as IsoRegion Leaping. The volume rendering is further accelerated by distributed rendering on a TCP/IP-based network of low-cost PCs. With these approaches, a 256 x 256 x 256 volume data of human lung, can be navigated and visualized at a frame rate of over 10 Hz in our virtual bronchoscopy system.
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Affiliation(s)
- P A Heng
- Dept. of Computer Science & Engineering, Chinese University of Hong Kong
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