利用背景和前景信息融合SPECT和MRI图像

Behzad Nobariyan, S. Daneshvar, M. Hosseinzadeh
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引用次数: 3

摘要

由于单光子发射计算机断层扫描(SPECT)图像不包含解剖信息,因此对疾病的感知和诊断是困难的。在研究中,尝试采用磁共振成像和图像融合的方法对SPECT图像进行创新。从而得到包含功能信息和解剖信息的融合图像。MRI图像显示组织脑解剖结构,具有高空间分辨率,不含功能信息。SPECT显示大脑功能,空间分辨率较低。SPECT和MRI图像的融合产生了高空间分辨率的图像。融合后的图像具有一定的空间和光谱畸变。替代方法如IHS和多分辨率融合方法如小波变换分别保留空间和光谱信息。在本文中,我们提出了一种方法,可以很好地保留空间和光谱信息,并最大限度地减少融合图像相对于其他方法的畸变。
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Fusion of SPECT and MRI images using back and fore ground information
Perception and diagnosis of disorders by using single photon emission computed tomography (SPECT) image is difficult since this image does not contain anatomical Information. In the studies it is tried to make innovation SPECT image by magnetic resonance imaging (MRI) and image fusion methods. So the fused image is obtained involving functional and anatomical information. MRI image shows tissue brain anatomy and it has high spatial resolution without functional information. SPECT shows brain function and it has low spatial resolution. Fusion of SPECT and MRI images leads to a high spatial resolution image. The fused image with desired specifications consists in spatial and spectral distortions. Substitution methods such as IHS and Multi-resolution fusion methods such as wavelet transform preserve spatial and spectral information respectively. In This article we present a method that preserves both spatial and spectral information well and minimizes distortions of fused images relative to other methods.
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