用于肺部黏膜血液供应近实时映射的快速多光谱内镜成像系统。
Rapid multispectral endoscopic imaging system for near real-time mapping of the mucosa blood supply in the lung.
作者信息
Fawzy Yasser, Lam Stephen, Zeng Haishan
机构信息
Imaging Unit - Integrative Oncology Department, British Columbia Cancer Agency Research Centre, Vancouver, BC, V5Z 1L3, Canada.
Imaging Unit - Integrative Oncology Department, British Columbia Cancer Agency Research Centre, Vancouver, BC, V5Z 1L3, Canada ; Respiratory Medicine Division - Department of Medicine, University of British Columbia, Vancouver, BC, V5Z 1M9, Canada.
出版信息
Biomed Opt Express. 2015 Jul 21;6(8):2980-90. doi: 10.1364/BOE.6.002980. eCollection 2015 Aug 1.
We have developed a fast multispectral endoscopic imaging system that is capable of acquiring images in 18 optimized spectral bands spanning 400-760 nm by combining a customized light source with six triple-band filters and a standard color CCD camera. A method is developed to calibrate the spectral response of the CCD camera. Imaging speed of 15 spectral image cubes/second is achieved. A spectral analysis algorithm based on a linear matrix inversion approach is developed and implemented in a graphics processing unit (GPU) to map the mucosa blood supply in the lung in vivo. Clinical measurements on human lung patients are demonstrated.
我们开发了一种快速多光谱内镜成像系统，该系统通过将定制光源与六个三波段滤光片以及一台标准彩色电荷耦合器件（CCD）相机相结合，能够在400 - 760纳米范围内的18个优化光谱波段采集图像。我们还开发了一种校准CCD相机光谱响应的方法。实现了每秒15个光谱图像立方体的成像速度。基于线性矩阵反演方法的光谱分析算法被开发出来并在图形处理单元（GPU）中实现，以在体内绘制肺部黏膜的血液供应情况。文中展示了对人类肺部患者的临床测量结果。
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