{"title":"基于PC的三维脑地形图","authors":"K. Kim, J. Kwon, D.H. Lee, S.I. Kim","doi":"10.1109/IEMBS.1997.757020","DOIUrl":null,"url":null,"abstract":"Brain topographic mapping is a useful technique for visualizing brain activity. It clarifies the spatial and temporal relationships between different cortical areas. However, 3D topographic mapping systems are only available in dedicated image processing and image synthesis workstation environments. In this paper, we aim at a PC-based 3D topographic mapping system, which is simple, low-cost and easy to operate. This system was developed with OpenGL and an optimized 3D barycentric algorithm which is simple, precise and less computationally complex. To prove validity of this algorithm on the PC-based system, we simulated a Windows-based 3D topographic program which was developed for test purposes. The results show that the performance of this system is comparable to that of workstations in terms of speed and precision.","PeriodicalId":342750,"journal":{"name":"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The 3D brain topography based on PC\",\"authors\":\"K. Kim, J. Kwon, D.H. Lee, S.I. Kim\",\"doi\":\"10.1109/IEMBS.1997.757020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brain topographic mapping is a useful technique for visualizing brain activity. It clarifies the spatial and temporal relationships between different cortical areas. However, 3D topographic mapping systems are only available in dedicated image processing and image synthesis workstation environments. In this paper, we aim at a PC-based 3D topographic mapping system, which is simple, low-cost and easy to operate. This system was developed with OpenGL and an optimized 3D barycentric algorithm which is simple, precise and less computationally complex. To prove validity of this algorithm on the PC-based system, we simulated a Windows-based 3D topographic program which was developed for test purposes. The results show that the performance of this system is comparable to that of workstations in terms of speed and precision.\",\"PeriodicalId\":342750,\"journal\":{\"name\":\"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1997.757020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1997.757020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Brain topographic mapping is a useful technique for visualizing brain activity. It clarifies the spatial and temporal relationships between different cortical areas. However, 3D topographic mapping systems are only available in dedicated image processing and image synthesis workstation environments. In this paper, we aim at a PC-based 3D topographic mapping system, which is simple, low-cost and easy to operate. This system was developed with OpenGL and an optimized 3D barycentric algorithm which is simple, precise and less computationally complex. To prove validity of this algorithm on the PC-based system, we simulated a Windows-based 3D topographic program which was developed for test purposes. The results show that the performance of this system is comparable to that of workstations in terms of speed and precision.
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