Non-rigid registration and KLT filter to improve SNR and CNR in GRE-EPI myocardial perfusion imaging

Home > Journals > Biomedical & Life Sciences >JBiSE

Paper Submission

Google-based Impact Factor: 0.74 Citations
h5-index & Ranking

"Non-rigid registration and KLT filter to improve SNR and CNR in GRE-EPI myocardial perfusion imaging"
written by Georgeta Mihai, Yu Ding, Hui Xue, Yiu-Cho Chung, Sanjay Rajagopalan, Jens Guehring, Orlando P. Simonetti,
published by Journal of Biomedical Science and Engineering, Vol.5 No.12A, 2012

has been cited by the following article(s):

[1]	Noise reduction and motion elimination in low-dose 4D myocardial computed tomography perfusion (CTP): preliminary clinical evaluation of the ASTRA4D algorithm
	2019

[2]	Dynamic contrast-enhanced MRI versus 18F-FDG PET/CT: Which is better in differentiation between malignant and benign solitary pulmonary nodules?
	Chinese Journal of Cancer Research, 2018

[3]	Low-Complexity DCT Approximations for Biomedical Signal Processing in Big Data
	Signal Processing and Machine Learning for Biomedical Big Data, 2018

[4]	Low-dose 4D myocardial perfusion with x-ray micro-CT
	Proceedings Volume 10132, Medical Imaging 2017: Physics of Medical Imaging, 2017

[5]	Low-dose, 4D myocardial perfusion with x-ray micro-CT
	2017

[6]	Improved workflow for quantifying left ventricular function via cardiorespiratory‐resolved analysis of free‐breathing MR real‐time cines
	Journal of Magnetic Resonance Imaging, 2017

[7]	Intération du mod`ele du signal IRM pour la correction du mouvement et segmentation d’images automatisée : application `a la thermométrie cardiaque
	DOCTEUR DE L'UNIVERSITÉ DE BORDEAUX, 2015

[8]	Post‐Processing and Analysis of Dynamic Magnetic Resonance Images for Myocardial Perfusion Quantification
	Multi-Modality Cardiac Imaging, 2015

[9]	Free-breathing myocardial T2* mapping using GRE-EPI and automatic non-rigid motion correction
	2015

[10]	应用磁共振成像 “一站式” 诊断冠心病的研究进展
	心肺血管病杂志, 2014

[1]	Noise reduction and motion elimination in low-dose 4D myocardial computed tomography perfusion (CTP): preliminary clinical evaluation of the ASTRA4D algorithm European Radiology, 2019 DOI:10.1007/s00330-018-5899-8

[2]	Improved workflow for quantifying left ventricular function via cardiorespiratory-resolved analysis of free-breathing MR real-time cines Journal of Magnetic Resonance Imaging, 2017 DOI:10.1002/jmri.25618

[3]	Multi-Modality Cardiac Imaging 2015 DOI:10.1002/9781118574362.ch3

[4]	Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction Journal of Cardiovascular Magnetic Resonance, 2015 DOI:10.1186/s12968-015-0216-z