Registration of multi-modality medical images by soft computing approach

Y. Hata, Syoji Kobashi, S. Hirano, M. Ishikawa
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引用次数: 5

Abstract

The paper introduces registration systems of multi-modality medical images and describes the practical systems related to brain science. A possibility for applying soft computing techniques is also shown. First we describe a registration system of computed tomography image and magnetic resonance angiography image of a human brain. This registration system is used to demonstrate anatomical location information of vascular lesion from the surface of the human skull. We next describe a registration system of magnetic resonance (MR) image and positron emission transmission (PET) image. The MR image can produce neuroanatomical information, and the PET image quantifies metabolic pathways in vivo. In both systems, we describe a possibility of soft computing techniques.
多模态医学图像的软计算配准
本文介绍了多模态医学图像的配准系统,并描述了与脑科学相关的实用系统。文章还指出了应用软计算技术的可能性。首先,我们描述了一种人脑计算机断层图像和磁共振血管成像图像的配准系统。该配准系统用于从人类颅骨表面显示血管病变的解剖位置信息。接下来,我们描述了一个磁共振(MR)图像和正电子发射透射(PET)图像的配准系统。MR图像可以产生神经解剖学信息,PET图像可以量化体内的代谢途径。在这两个系统中,我们描述了软计算技术的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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