{"title":"光学光谱与成像正逆问题求解系统","authors":"M. Schweiger, S. Arridge","doi":"10.1364/aoipm.1996.ria264","DOIUrl":null,"url":null,"abstract":"We present a complete software implementation of a fast and versatile diffusion light transport forward model and reconstruction system for near-infrared imaging of complex and inhomogeneous tissues. The system includes an iterative inverse solver and various pre- and postprocessing tools for setup and visualisation. The forward model used in the solver employs the finite element method to solve the diffusion approximation to the transport","PeriodicalId":368664,"journal":{"name":"Advances in Optical Imaging and Photon Migration","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A System for Solving the Forward and Inverse Problems in Optical Spectroscopy and Imaging\",\"authors\":\"M. Schweiger, S. Arridge\",\"doi\":\"10.1364/aoipm.1996.ria264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a complete software implementation of a fast and versatile diffusion light transport forward model and reconstruction system for near-infrared imaging of complex and inhomogeneous tissues. The system includes an iterative inverse solver and various pre- and postprocessing tools for setup and visualisation. The forward model used in the solver employs the finite element method to solve the diffusion approximation to the transport\",\"PeriodicalId\":368664,\"journal\":{\"name\":\"Advances in Optical Imaging and Photon Migration\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Optical Imaging and Photon Migration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/aoipm.1996.ria264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Optical Imaging and Photon Migration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/aoipm.1996.ria264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A System for Solving the Forward and Inverse Problems in Optical Spectroscopy and Imaging
We present a complete software implementation of a fast and versatile diffusion light transport forward model and reconstruction system for near-infrared imaging of complex and inhomogeneous tissues. The system includes an iterative inverse solver and various pre- and postprocessing tools for setup and visualisation. The forward model used in the solver employs the finite element method to solve the diffusion approximation to the transport