Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
The image processing handbook (3rd ed.)
The image processing handbook (3rd ed.)
| Hi-index | 0.00 |
Magnetic Resonance Imaging (MRI) has emerged as a powerful tool in medical diagnosis and research. Dynamic Contrast Enhanced MRI (DCE-MRI), which involves the administration of a paramagnetic contrast medium, has been shown to provide additional sensitivity in detecting abnormality. In particular, in imaging of the breast and axilla the ability to differentiate between benign and malignant lesions depends, in part, on the enhancement profile. Evaluation of this requires a sufficient temporal resolution in the time series acquisition. Faster imaging in general requires that images are acquired with a lower spatial resolution or signal to noise ratio. In this paper we investigate a novel approach for increasing the temporal resolution in DCE-MRI without decreasing the accuracy of the measurement. The results clearly indicate a superior image quality compared to standard half Fourier techniques and the algorithm correctly recovers the time series characteristics of T1 and T2*-weighted time series data.