Medical image registration is the first step for image fusion and other imaging process. It has a fully use in medical imaging process and analysis. In this paper, a novel method of image registration for myocardial perfusion magnetic resonance imaging(MRI) based on image segmentation and correlation function was presented. This iterative method utilized correlation function as the matching criterion to determine the best matching parameters through the maximization of the correlation function. The advantage of this technique is that it fully considered the movements of the patients, such as breathing, head nodding, as well as the changes of myocardial perfusion signals.EI02199-2022
Breathing movements during the image acquisition of first-pass gadolinium enhanced, Magnetic Resonan...
Magnetic Resonance Imaging (MRI) has become an important technique for imaging cardiovascular diseas...
Magnetic Resonance Imaging (MRI) is a powerful technique for imaging cardiovascular diseases. The in...
Myocardial perfusion is an indicator of heart health that can be used to locate damaged areas of the...
The condition of the heart muscle tissue can be inferred by analyzing the time-intensity curves obta...
Quantification of cardiac magnetic resonance (CMR) myocardial perfusion remains time consuming since...
International audienceThis paper presents a novel methodology for the non-rigid registration of card...
In clinical first-pass myocardial perfusion studies, physiological and patient motions are inevitabl...
This abstract presents a novel method for registration of cardiac perfusion MRI sequences. By perfor...
MRI perfusion imaging enables the non-invasive assessment of myocardial blood supply. The purpose of...
Cardiovascular magnetic resonance has been shown to provide high data quality for myocardial perfusi...
Abstract — Breathing movements during the image acquisi-tion of first-pass gadolinium enhanced, myoc...
We present an automated technique using noise-based level-set methods and non-rigid registration for...
We developed a method for automated quantification of myocardial perfusion from cardiac magnetic res...
INTRODUCTION Myocardial perfusion assessment from cardiac magnetic resonance (CMR) images has prove...
Breathing movements during the image acquisition of first-pass gadolinium enhanced, Magnetic Resonan...
Magnetic Resonance Imaging (MRI) has become an important technique for imaging cardiovascular diseas...
Magnetic Resonance Imaging (MRI) is a powerful technique for imaging cardiovascular diseases. The in...
Myocardial perfusion is an indicator of heart health that can be used to locate damaged areas of the...
The condition of the heart muscle tissue can be inferred by analyzing the time-intensity curves obta...
Quantification of cardiac magnetic resonance (CMR) myocardial perfusion remains time consuming since...
International audienceThis paper presents a novel methodology for the non-rigid registration of card...
In clinical first-pass myocardial perfusion studies, physiological and patient motions are inevitabl...
This abstract presents a novel method for registration of cardiac perfusion MRI sequences. By perfor...
MRI perfusion imaging enables the non-invasive assessment of myocardial blood supply. The purpose of...
Cardiovascular magnetic resonance has been shown to provide high data quality for myocardial perfusi...
Abstract — Breathing movements during the image acquisi-tion of first-pass gadolinium enhanced, myoc...
We present an automated technique using noise-based level-set methods and non-rigid registration for...
We developed a method for automated quantification of myocardial perfusion from cardiac magnetic res...
INTRODUCTION Myocardial perfusion assessment from cardiac magnetic resonance (CMR) images has prove...
Breathing movements during the image acquisition of first-pass gadolinium enhanced, Magnetic Resonan...
Magnetic Resonance Imaging (MRI) has become an important technique for imaging cardiovascular diseas...
Magnetic Resonance Imaging (MRI) is a powerful technique for imaging cardiovascular diseases. The in...