Boussion N, Cheze Le Rest C, Hatt M, Visvikis D
INSERM, U650, Laboratoire de Traitement de l'Information Médicale CHU MORVAN, Bat 2bis (I3S), 5 avenue Foch, Brest, 29609, France.
Eur J Nucl Med Mol Imaging. 2009 Jul;36(7):1064-75. doi: 10.1007/s00259-009-1065-5. Epub 2009 Feb 18.
Partial volume effects (PVEs) are consequences of the limited resolution of emission tomography. The aim of the present study was to compare two new voxel-wise PVE correction algorithms based on deconvolution and wavelet-based denoising.
Deconvolution was performed using the Lucy-Richardson and the Van-Cittert algorithms. Both of these methods were tested using simulated and real FDG PET images. Wavelet-based denoising was incorporated into the process in order to eliminate the noise observed in classical deconvolution methods.
Both deconvolution approaches led to significant intensity recovery, but the Van-Cittert algorithm provided images of inferior qualitative appearance. Furthermore, this method added massive levels of noise, even with the associated use of wavelet-denoising. On the other hand, the Lucy-Richardson algorithm combined with the same denoising process gave the best compromise between intensity recovery, noise attenuation and qualitative aspect of the images.
The appropriate combination of deconvolution and wavelet-based denoising is an efficient method for reducing PVEs in emission tomography.
部分容积效应（PVEs）是发射断层扫描分辨率有限的结果。本研究的目的是比较两种基于去卷积和小波去噪的新的体素级PVE校正算法。
使用Lucy-Richardson算法和Van-Cittert算法进行去卷积。这两种方法均使用模拟和真实的FDG PET图像进行测试。基于小波的去噪被纳入该过程，以消除经典去卷积方法中观察到的噪声。
两种去卷积方法均导致显著的强度恢复，但Van-Cittert算法提供的图像质量较差。此外，即使联合使用小波去噪，该方法也会增加大量噪声。另一方面，Lucy-Richardson算法与相同的去噪过程相结合，在强度恢复、噪声衰减和图像质量方面取得了最佳平衡。
去卷积和基于小波的去噪的适当组合是减少发射断层扫描中PVEs的有效方法。
