IEEE J Biomed Health Inform. 2013 Jan;17(1):198-204. doi: 10.1109/TITB.2012.2219588. Epub 2012 Sep 19.
Finding the center of rotation is an essential step for accurate three-dimensional reconstruction in optical projection tomography (OPT). Unfortunately current methods are not convenient since they require either prior scanning of a reference phantom, small structures of high intensity existing in the specimen, or active participation during the centering procedure. To solve these problems this paper proposes a fast and automatic center of rotation search method making use of parallel programming in graphics processing units (GPUs). Our method is based on a two step search approach making use only of those sections of the image with high signal to noise ratio. We have tested this method both in non-scattering ex vivo samples and in in vivo specimens with a considerable contribution of scattering such as Drosophila melanogaster pupae, recovering in all cases the center of rotation with a precision 1/4 pixel or less.
确定旋转中心是光学投影层析成像（OPT）中进行精确三维重建的关键步骤。然而，目前的方法并不方便，因为它们要么需要预先扫描参考体模，要么需要在标本中存在高强度的小结构，要么需要在对中过程中主动参与。为了解决这些问题，本文提出了一种快速、自动的旋转中心搜索方法，该方法利用图形处理单元（GPU）中的并行编程。我们的方法基于两步搜索方法，仅使用具有高信噪比的图像部分。我们已经在无散射的离体样本和具有相当散射贡献的活体样本（如黑腹果蝇蛹）中测试了这种方法，在所有情况下都能以 1/4 像素或更小的精度恢复旋转中心。
