Abstract. Three-dimensional (3D) and four-dimensional (4D) imaging of dynamic structures is a rapidly developing area of research in medical imaging. Non-rigid registration plays an important role for the analysis of these datasets. In this paper we will show some of the work of our group using non-rigid registration techniques for the detection of tempo-ral changes such as growth in brain MR images. We will also show how non-rigid registration can be used to analyze the motion of the heart from cardiac MR images.
We present a novel method for tracking myocardial motion from volumetric ultrasound data based on no...
International audienceImage registration plays an increasingly important role in many fields such as...
This paper describes two new atlas-based methods of 2D single modality non-rigid registration using ...
International audienceWe address the problem of quantitatively assessing myocardial function from ta...
A method for spatio-temporally smooth and consistent estimation of cardiac motion from MR cine seque...
Data registration is a common process in medical image analysis. The goal of data registration is to...
Cardiovascular diseases (CVDs) are one of the major causes of death in the world. In recent years, s...
We developed an automated technique for non-rigid image registration as a basis for tracking the hea...
The objective of this work is to compare the results obtained from the motion analysis of tagged vs....
The condition of the heart muscle tissue can be inferred by analyzing the time-intensity curves obta...
Estimation of myocardial motion from medical images is an important problem in several fields such a...
International audienceThis paper presents a novel method that combines respective benefits of the tr...
In this paper we describe a new algorithm for nonrigid registration based on an elastically deformab...
Non-rigid registration of medical images is often posed as an algorithmic problem. While algorithms ...
AbstractMagnetic resonance image analysis is a promising technique for diagnosing breast cancer, par...
We present a novel method for tracking myocardial motion from volumetric ultrasound data based on no...
International audienceImage registration plays an increasingly important role in many fields such as...
This paper describes two new atlas-based methods of 2D single modality non-rigid registration using ...
International audienceWe address the problem of quantitatively assessing myocardial function from ta...
A method for spatio-temporally smooth and consistent estimation of cardiac motion from MR cine seque...
Data registration is a common process in medical image analysis. The goal of data registration is to...
Cardiovascular diseases (CVDs) are one of the major causes of death in the world. In recent years, s...
We developed an automated technique for non-rigid image registration as a basis for tracking the hea...
The objective of this work is to compare the results obtained from the motion analysis of tagged vs....
The condition of the heart muscle tissue can be inferred by analyzing the time-intensity curves obta...
Estimation of myocardial motion from medical images is an important problem in several fields such a...
International audienceThis paper presents a novel method that combines respective benefits of the tr...
In this paper we describe a new algorithm for nonrigid registration based on an elastically deformab...
Non-rigid registration of medical images is often posed as an algorithmic problem. While algorithms ...
AbstractMagnetic resonance image analysis is a promising technique for diagnosing breast cancer, par...
We present a novel method for tracking myocardial motion from volumetric ultrasound data based on no...
International audienceImage registration plays an increasingly important role in many fields such as...
This paper describes two new atlas-based methods of 2D single modality non-rigid registration using ...