通过拼接激光散斑图像对皮质血流进行高分辨率映射。

High resolution mapping of cortical blood flow by mosaicing the laser speckle images.

作者信息

Yu Jing, Miao Peng, Li Minheng, Qiu Yihong, Zhu Yisheng, Tong Shanbao

机构信息

Department of Biomedical Engineering, Shanghai Jiao Tong University, China.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3743-6. doi: 10.1109/IEMBS.2008.4650022.

DOI:10.1109/IEMBS.2008.4650022

PMID:19163525

Abstract

Laser speckle imaging (LSI) has been implemented as a tool of acquiring two dimensional blood flow information. Using vascular segmentation techniques, we are able to obtain the cortical vascular blood flow distribution. Nevertheless, the conventional LSI methods have limitations of small imaging area and low dynamic range of contrast due to the ambient background field, dark current and anomalies in the circuits of CCD camera. In this study, we introduced an enhanced laser speckle contrast analysis (eLASCA) to improve the dynamic range of LASCA, then a high resolution of cerebral blood flow (CBF) was obtained by image mosaicing technique, including image registration and image fusion. The eLASCA-based LSI mosaicing provides global anatomic details of cortical microvessels as well as the cortical vascular blood flow information.

摘要

激光散斑成像（LSI）已被用作获取二维血流信息的工具。利用血管分割技术，我们能够获得皮质血管血流分布。然而，由于环境背景场、暗电流和电荷耦合器件（CCD）相机电路中的异常情况，传统的LSI方法存在成像面积小和对比度动态范围低的局限性。在本研究中，我们引入了增强型激光散斑对比度分析（eLASCA）以提高LASCA的动态范围，然后通过图像拼接技术（包括图像配准和图像融合）获得了高分辨率的脑血流（CBF）。基于eLASCA的LSI拼接提供了皮质微血管的整体解剖细节以及皮质血管血流信息。