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Translational biophotonics最新文献

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Performance evaluation of fluorescence tomography in a Siemens Inveon multimodality scanner 西门子Inveon多模态扫描仪荧光层析成像的性能评价
Translational biophotonics Pub Date : 2014-05-19 DOI: 10.1117/12.2057818
Yujie Lu, C. Darne, I. Tan, B. Zhu, J. Rasmussen, E. Sevick-Muraca
{"title":"Performance evaluation of fluorescence tomography in a Siemens Inveon multimodality scanner","authors":"Yujie Lu, C. Darne, I. Tan, B. Zhu, J. Rasmussen, E. Sevick-Muraca","doi":"10.1117/12.2057818","DOIUrl":"https://doi.org/10.1117/12.2057818","url":null,"abstract":"A tri-modal (PET/CT/Optical) small animal tomographic imaging system was developed by integrating our advanced non-contact intensified CCD (ICCD) frequency-domain fluorescence imaging components into a Siemens Inveon scanner. We performed a performance evaluation of the developed imaging system by using the developed regularization-free high-order radiative-transfer-based reconstruction algorithm and custom solid phantoms. Our results show that frequency-domain photon migration (FDPM) fluorescence tomography can achieve better tomographic images with less artifacts and more precise fluorescent source localization compared to the continuous-wave counterpart. The developed multimodal tomographic imaging system provides a powerful tool for translational biomedical research.","PeriodicalId":75242,"journal":{"name":"Translational biophotonics","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90744590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Automated retinal layer segmentation and characterization 自动视网膜层分割和表征
Translational biophotonics Pub Date : 2014-05-19 DOI: 10.1117/12.2057814
Jonathan Luisi, D. Briley, Adam R. Boretsky, M. Motamedi
{"title":"Automated retinal layer segmentation and characterization","authors":"Jonathan Luisi, D. Briley, Adam R. Boretsky, M. Motamedi","doi":"10.1117/12.2057814","DOIUrl":"https://doi.org/10.1117/12.2057814","url":null,"abstract":"Spectral Domain Optical Coherence Tomography (SD-OCT) is a valuable diagnostic tool in both clinical and research settings. The depth-resolved intensity profiles generated by light backscattered from discrete layers of the retina provide a non-invasive method of investigating progressive diseases and injury within the eye. This study demonstrates the application of steerable convolution filters capable of automatically separating gradient orientations to identify edges and delineate tissue boundaries. The edge maps were recombined to measure thickness of individual retinal layers. This technique was successfully applied to longitudinally monitor changes in retinal morphology in a mouse model of laser-induced choroidal neovascularization (CNV) and human data from age-related macular degeneration patients. The steerable filters allow for direct segmentation of noisy images, while novel recombination of weaker segmentations allow for denoising post-segmentation. The segmentation before denoising strategy allows the rapid detection of thin retinal layers even under suboptimal imaging conditions.","PeriodicalId":75242,"journal":{"name":"Translational biophotonics","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76788422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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