Ma Ling, Pruitt Kelden, Fei Baowei
Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Department of Bioengineering, University of Texas at Dallas, Richardson, TX.
Proc SPIE Int Soc Opt Eng. 2024 Feb;12928. doi: 10.1117/12.3006573. Epub 2024 Mar 29.
Laparoscopic and robotic surgery, as one type of minimally invasive surgery (MIS), has gained popularity due to the improved surgeon ergonomics, instrument precision, operative time, and postoperative recovery. Hyperspectral imaging (HSI) is an emerging medical imaging modality, which has proved useful for intraoperative image guidance. Snapshot hyperspectral cameras are ideal for intraoperative laparoscopic imaging because of their compact size and light weight, but low spatial resolution can be a limitation. In this work, we developed a dual-camera laparoscopic imaging system that consists of a high-resolution color camera and a snapshot hyperspectral camera, and we employed super-resolution reconstruction to fuse the images from both cameras to generate high-resolution hyperspectral images. The experimental results show that our method can significantly improve the resolution of hyperspectral images without compromising the image quality or spectral signatures. The proposed super-resolution reconstruction method is promising to promote the employment of high-speed hyperspectral imaging in laparoscopic surgery.
腹腔镜手术和机器人手术作为微创手术(MIS)的一种类型,因其改善了外科医生的人体工程学、器械精度、手术时间和术后恢复情况而受到欢迎。高光谱成像(HSI)是一种新兴的医学成像模式,已被证明对术中图像引导有用。快照高光谱相机由于其紧凑的尺寸和较轻的重量,是术中腹腔镜成像的理想选择,但低空间分辨率可能是一个限制。在这项工作中,我们开发了一种双相机腹腔镜成像系统,该系统由一个高分辨率彩色相机和一个快照高光谱相机组成,并且我们采用超分辨率重建来融合来自两个相机的图像以生成高分辨率高光谱图像。实验结果表明,我们的方法可以在不影响图像质量或光谱特征的情况下显著提高高光谱图像的分辨率。所提出的超分辨率重建方法有望促进高速高光谱成像在腹腔镜手术中的应用。