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SPATIALLY-MODULATED NEAR-INFRARED LIGHT FOR IMAGE-GUIDED ONCOLOGIC SURGERY

SPATIALLY-MODULATED NEAR-INFRARED LIGHT FOR IMAGE-GUIDED ONCOLOGIC SURGERY
用于图像引导肿瘤手术的空间调制近红外光
批准号:
8169464
负责人:
John V Frangioni
金额:
$1.96万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-04-01 至 2011-03-31

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中文摘要
翻译
这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者(PI)可能从另一个NIH来源获得主要资金, 因此可以在其他CRISP条目中表示。所列机构为 研究中心,而研究中心不一定是研究者所在的机构。 在该应用中,我们提出使用空间调制的近红外光(SMNL)来基本上实时地产生A、S '和QY的定量成像。位于尔湾的加州大学贝克曼激光研究所的调制成像小组率先将该技术用于定量、深度分辨光谱成像,作为NIH生物医学技术中心的一部分,贝克曼激光研究所的激光微束和医疗计划(LAMMP)(www.bli.uci.edu/lammp)。初步研究中显示的最新结果表明,SMNL现在可以优化用于大手术野,而无需激光激发源。当与本研究中提出的基于LED的新型光源以及PI实验室在心脏和呼吸门控技术方面的最新进展相结合时,SMNL应该能够为外科医生提供A、S '和QY的直接测量,从而改善几乎所有的图像引导手术干预。
英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. In this application, we propose the use of spatially-modulated NIR light (SMNL) to produce quantitative imaging of ¿¿A, ¿¿S', and QY in essentially real-time. The Modulated Imaging group at the Beckman Laser Institute of the University of California, Irvine, has pioneered the use of this technology for quantitative, depth-resolved spectroscopic imaging as part of the NIH Biomedical Technology Center, the Laser Microbeam and Medical Program (LAMMP) at the Beckman Laser Institute (www.bli.uci.edu/lammp). Recent results shown in Preliminary Studies suggest that SMNL can now be optimized for use over a large surgical field without the need for a laser excitation source. When combined with a novel LED-based light source proposed in this study, and recent advances in cardiac and respiratory gating technology from the PI's laboratory, SMNL should be able to provide surgeons with direct measurement of ¿¿A, ¿¿S', and QY, and thus improve virtually all image-guided surgical interventions.
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