Improvement of quantification of myocardial first-pass perfusion mapping: a temporal and spatial wavelet denoising method. Export

@article{citeulike:2619661, abstract = {Mapping of myocardial blood flow (MBF) with first-pass perfusion imaging is becoming an important tool in the study of coronary artery disease. In this study a wavelet-based denoising method was developed to improve the accuracy of pixel-by-pixel MBF maps. We performed an in vivo study in five stenotic dogs with 70\% stenosis in the left coronary arteries. First-pass perfusion imaging sessions were performed by administering the intravascular contrast agent Gadomer at rest and during dipyridamole-induced vasodilation. Color microspheres (MS) were injected into the dogs to measure MBF at the same time. After denoising was performed, the signal-to-noise ratio (SNR) of the first-pass perfusion image improved by approximately 180\%, whereas spatial variation of MBF maps decreased 38\%. It was also found that the correlation of MBFs measured by MRI with the MS method indicates a significant improvement with the denoising method (R2 increased from 0.24 to 0.78, P < .001). This suggests that the wavelet denoising method may be an effective way to increase the accuracy of pixel-by-pixel MBF quantification and reduce spatial variation, and may be applicable to other forms of noise-sensitive image analysis.}, address = {Mallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri 63110, USA.}, author = {Goldstein, T. A. and Zhang, H. and Misselwitz, B. and Gropler, R. G. and Zheng, J.}, citeulike-article-id = {2619661}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/mrm.20950}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/16791863}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=16791863}, doi = {10.1002/mrm.20950}, issn = {0740-3194}, journal = {Magn Reson Med}, keywords = {cardiac, denoising, wavelet}, month = {August}, number = {2}, pages = {439--445}, posted-at = {2008-04-01 13:49:01}, priority = {2}, title = {Improvement of quantification of myocardial first-pass perfusion mapping: a temporal and spatial wavelet denoising method.}, url = {http://dx.doi.org/10.1002/mrm.20950}, volume = {56}, year = {2006} }

TY - JOUR ID - citeulike:2619661 L3 - citeulike-article-id:2619661 N2 - Mapping of myocardial blood flow (MBF) with first-pass perfusion imaging is becoming an important tool in the study of coronary artery disease. In this study a wavelet-based denoising method was developed to improve the accuracy of pixel-by-pixel MBF maps. We performed an in vivo study in five stenotic dogs with 70% stenosis in the left coronary arteries. First-pass perfusion imaging sessions were performed by administering the intravascular contrast agent Gadomer at rest and during dipyridamole-induced vasodilation. Color microspheres (MS) were injected into the dogs to measure MBF at the same time. After denoising was performed, the signal-to-noise ratio (SNR) of the first-pass perfusion image improved by approximately 180%, whereas spatial variation of MBF maps decreased 38%. It was also found that the correlation of MBFs measured by MRI with the MS method indicates a significant improvement with the denoising method (R2 increased from 0.24 to 0.78, P < .001). This suggests that the wavelet denoising method may be an effective way to increase the accuracy of pixel-by-pixel MBF quantification and reduce spatial variation, and may be applicable to other forms of noise-sensitive image analysis. IS - 2 JF - Magn Reson Med SN - 0740-3194 AD - Mallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri 63110, USA. EP - 445 TI - Improvement of quantification of myocardial first-pass perfusion mapping: a temporal and spatial wavelet denoising method. VL - 56 SP - 439 KW - cardiac KW - denoising KW - wavelet AU - Goldstein, TA AU - Zhang, H AU - Misselwitz, B AU - Gropler, RG AU - Zheng, J PY - 2006/08// UR - http://dx.doi.org/10.1002/mrm.20950 ER -