Development of system and software for precise brain functional mapping

最近，已经使用核医学成像和/或功能性磁共振成像（fMRI）来研究高阶脑功能。为了进行这些研究，需要将通过核医学成像或fMRI获得的脑功能图像精确地配准到通过磁共振成像（MRI）获得的形态图像。在本研究中，我们开发了一个系统和软件，可以精确地执行两个图像之间的配准。1997年，我们使用购买的工作站和C编译器开发了基本系统和软件。在本项目开发的软件中，我们使用了随机符号变化（SSC）准则和非线性最小二乘法来最大化两幅图像之间的相似性。1998年，我们调查了我们的软件的可用性，将其与常用软件进行了比较，我们发现我们的软件在准确性方面上级传统软件。1999年，我们将我们的系统和软件应用于临床数据，发现它们在临床环境中是有用和适用的。我们还将我们的软件应用于其他领域，例如使用单光子发射计算机断层扫描（SPECT）测量脑血流量，我们发现我们的软件也可以用于其他领域。

Recently, high-order brain functions have been studied using nuclear medicine imaging and/or functional magnetic resonance imaging (fMRI). To perform these studies, it is necessary to precisely register the brain functional images obtained by nuclear medicine imaging or fMRI to the morphological images obtained by magnetic resonance imaging (MRI). In this research project, we developed a system and software with which the registration between the two images can be performed precisely. In 1997, we developed a basic system and software using the purchased workstation and C-compiler. In the software developed in this project, we used the stochastic sign change (SSC) criterion and nonlinear least-squares method for maximizing the similarity between the two images. In 1998, we investigated the availability of our software comparing it with the software generally used, and we found that our software was superior to the conventional one in accuracy. In 1999, we applied our system and software to the clinical data and found that they were useful and applicable in clinical settings. We also applied our software to other areas such as the measurement of cerebral blood flow using single photon emission computed tomography (SPECT), and we found that our software can also be used in other areas.