Hess A, Lohmann K, Gundelfinger E D, Scheich H
Leibniz Institute for Neurobiology, Magdeburg, Germany.
J Neurosci Methods. 1998 Oct 1;84(1-2):77-86. doi: 10.1016/s0165-0270(98)00102-2.
Valuable information on metabolism and function of distinct brain regions can be extracted from autoradiographs of 2D brain sections, e.g. after labelling with the non-metabolisable sugar derivate [14C]-2-fluoro-deoxyglucose (2-FDG). For a more complete comprehension of the data and for a comparison with information obtained by modern functional imaging techniques it is essential to have a reliable and efficient method for the 3D reconstruction of autoradiographs of serial sections. This paper describes a new method for the alignment of 2D 2-FDG images, that combines two established algorithms, i.e. principal axes alignment followed by consistent matrix transformation. The power and efficiency of this new 2-step method is compared to those of various previously described procedures.
通过二维脑切片的放射自显影片,例如在用不可代谢的糖衍生物[14C]-2-氟脱氧葡萄糖(2-FDG)标记后,可以提取有关不同脑区代谢和功能的有价值信息。为了更全面地理解数据,并与现代功能成像技术获得的信息进行比较,拥有一种可靠且高效的方法来对连续切片的放射自显影片进行三维重建至关重要。本文描述了一种用于二维2-FDG图像对齐的新方法,该方法结合了两种既定算法,即主轴对齐和一致矩阵变换。将这种新的两步法的功效和效率与之前描述的各种程序进行了比较。