Stabilized Adaptive Optics Imaging Laser Microsurgery

稳定的自适应光学成像激光显微外科手术

基本信息

  • 批准号:
    6737890
  • 负责人:
  • 金额:
    $ 25.51万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2003
  • 资助国家:
    美国
  • 起止时间:
    2003-09-19 至 2005-08-31
  • 项目状态:
    已结题

项目摘要

Recent advances in ophthalmic imaging have revolutionized the ability of clinicians to visualize and understand a wide variety of diseases of the eye. Although these advanced diagnostic instruments indirectly indicate a course of treatment, they are generally not directly coupled to a particular therapy. We propose to design, develop, and construct an innovative diagnostic instrument, the core elements of which will be integral to the delivery of a new treatment modality. The diagnostic instrument will use scanning laser ophthalmoscopy (SLO) at its core, with unique and necessary enhancements of adaptive optics and retinal tracking used to increase imaging performance and clinical utility. The instrument will be used to precisely deliver laser pulses for several different potential therapeutic applications. By use of ultrashort laser pulses of femtosecond or picosecond duration, microsurgical damage can be created at spatially-confined locations, without collateral damage to critical adjacent layers, and with lower energies than other laser surgery. The system will be constructed at Physical Sciences Inc. (PSI) and the imaging performance will be evaluated there on artificial targets and on a limited number of human subjects. The system will then be transported to the laser laboratory (AFRIJHEDO) at Brooks AFB for initial testing in an appropriate animal model. The PSI investigators will be assisted by experts in the field of adaptive optics for retinal imaging, clinical ophthalmology, and ultrashort pulse laser generation and delivery. The unique use of an advanced, high-resolution imaging system for both imaging and delivery of laser pulses for specific therapies constitutes the direct, complete, and efficient integration of detection and treatment modalities.
眼科成像的最新进展已经彻底改变了临床医生观察和了解各种眼部疾病的能力。虽然这些先进的诊断仪器间接地指示了一个疗程,但它们通常不直接与特定的治疗相联系。我们建议设计、开发和构建一种创新的诊断工具,其核心要素将是提供新的治疗方式所不可或缺的。该诊断仪器将以扫描激光眼底镜(SLO)为核心,通过独特而必要的自适应光学和视网膜跟踪增强,以提高成像性能和临床实用性。该仪器将被用来精确地 为几种不同的潜在治疗应用提供激光脉冲。通过使用飞秒或皮秒持续时间的超短激光脉冲,可以在空间受限的位置产生显微外科损伤,而不会对关键的相邻层造成附带损伤,并且比其他激光手术能量更低。 该系统将在物理科学公司(PSI)建造,并将在那里对人造目标和有限数量的人体受试者进行成像性能评估。然后,该系统将被运送到布鲁克斯AFB的激光实验室(AFRIJHEDO),在适当的动物模型上进行初步测试。PSI的研究人员将得到视网膜成像、临床眼科和超短脉冲激光产生和传输的自适应光学领域的专家的协助。先进的高分辨率成像系统用于成像和传输特定疗法的激光脉冲,这一独特的使用构成了检测和治疗模式的直接、完整和有效的集成。

项目成果

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DANIEL X HAMMER其他文献

DANIEL X HAMMER的其他文献

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{{ truncateString('DANIEL X HAMMER', 18)}}的其他基金

Multimode Adaptive Optics Retinal Imager for Diagnosis of Age-Related Macular Deg
用于诊断年龄相关性黄斑病变的多模自适应光学视网膜成像仪
  • 批准号:
    7481657
  • 财政年份:
    2008
  • 资助金额:
    $ 25.51万
  • 项目类别:
Multimode Adaptive Optics Retinal Imager for Diagnosis of Age-Related Macular Deg
用于诊断年龄相关性黄斑病变的多模自适应光学视网膜成像仪
  • 批准号:
    7885150
  • 财政年份:
    2008
  • 资助金额:
    $ 25.51万
  • 项目类别:
High Performance Multimodal Adaptive Optics Retinal Imaging
高性能多模态自适应光学视网膜成像
  • 批准号:
    8000497
  • 财政年份:
    2008
  • 资助金额:
    $ 25.51万
  • 项目类别:
Compact Line Scanning Adaptive Optics Retinal Imager
紧凑型线扫描自适应光学视网膜成像仪
  • 批准号:
    7909611
  • 财政年份:
    2007
  • 资助金额:
    $ 25.51万
  • 项目类别:
Compact Line-scanning Adaptive Optics Retinal Imager
紧凑型线扫描自适应光学视网膜成像仪
  • 批准号:
    7326336
  • 财政年份:
    2007
  • 资助金额:
    $ 25.51万
  • 项目类别:
Single Shot OCT
单次OCT
  • 批准号:
    7108289
  • 财政年份:
    2006
  • 资助金额:
    $ 25.51万
  • 项目类别:
Real-Time Three-Dimensional Motion Control Tracker
实时三维运动控制跟踪器
  • 批准号:
    6690168
  • 财政年份:
    2003
  • 资助金额:
    $ 25.51万
  • 项目类别:
Stabilized Adaptive Optics Imaging Laser Microsurgery
稳定的自适应光学成像激光显微外科手术
  • 批准号:
    6801853
  • 财政年份:
    2003
  • 资助金额:
    $ 25.51万
  • 项目类别:
Real-Time Three-Dimensional Motion Control Tracker
实时三维运动控制跟踪器
  • 批准号:
    6933734
  • 财政年份:
    2002
  • 资助金额:
    $ 25.51万
  • 项目类别:
Real-Time Three-Dimensional Motion Control Tracker
实时三维运动控制跟踪器
  • 批准号:
    7125601
  • 财政年份:
    2002
  • 资助金额:
    $ 25.51万
  • 项目类别:
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