%0 Journal Article
%T Assessment effect of wavelet transform in precision of motion detection for renal dynamic scintigraphy: simulation study
%A Mohammad Ali Tajik Mansoury
%A Hossein Rajabi
%A Ali Reza Emami-Ardakani
%A Ali Asghar Parach
%J Iranian Journal of Nuclear Medicine
%D 2010
%I 
%X Introduction: Motion detection in nuclear medicine imaging because of restrictions of images such as high level of noise and fading of organs boundary that are inherent characteristics of images, have insufficiency. These restrictions can cause to decrease precision of motion detection especially in two methods of center of gravity and cross correlation in renographics images. That in this research we used approximation part of decomposed image with wavelet transform, for increase precision of motion detection or decrease minimum amount of detectable motion. Methods: In this study 4D NCAT phantom was used to generate a typical human torso and the SimSET Monte Carlo nuclear medicine (NM) simulator was used to generate phantoms images. Dynamic images were adjusted to construct 180 phantoms that each representing a 10 second duration. 5 type of phantom and 3 type of motion direction was simulated and we used 7 families of wavelet for decomposition of images. Motion detection algorithms, center of gravity and cross-correlation, (were implemented in Matlab 7.1 environment) were used for motion determination in renal imaging data and Finally minimum amount of detectable motion for each of them was measured. Results: results show that 2 families of wavelet Daubechies and Reversbio in first level of decomposition can significantly (p-value <0.05) increase precision of motion detection in two algorithms of center of gravity and cross correlation. Also results show these two methods can determine direction of motion. Conclusion: results show that use of approximation part of decomposed imaged with wavelet transform can increase precision of motion detection in renal dynamic imaging. However for two families of wavelet and in first level of decomposition we were to fulfill this aim. But it showed the positive effect of wavelet transform for increase precision of motion detection algorithms in nuclear medicine imaging
%K Motion detection
%K Wavelet transform
%K Renography
%K Simulations
%U http://journals.tums.ac.ir/PdfMed.aspx?pdf_med=/upload_files/pdf/16908.pdf&amp;manuscript_id=16908