Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction.

Area of Science:

• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• Image Reconstruction

Background:

• Dynamic contrast-enhanced MRI (DCE-MRI) relies on reconstructing images from undersampled k-t space data.
• Temporal constraint reconstruction (TCR) is a method that utilizes the similarity between adjacent MRI frames as prior information.
• The efficiency of TCR algorithms is critically dependent on the initial image reconstruction.

Purpose of the Study:

• To investigate a novel initialization strategy for TCR algorithms in DCE-MRI.
• To enhance the convergence speed and reconstruction accuracy of TCR.
• To evaluate the performance of the proposed initialization method at high undersampling factors.

Main Methods:

• Developed a composite high-resolution image initialization using a jigsaw sampling pattern from pre-contrast frames.
• Compared the proposed initialization method against conventional low-resolution image initialization.
• Conducted in vivo breast imaging experiments using DCE-MRI sequences.

Main Results:

• The proposed initialization method demonstrated significantly faster convergence compared to conventional methods, particularly at high reduction factors (undersampling).
• TCR with the new initialization achieved high reduction factors (up to 40) without substantial loss of spatial or temporal resolution.
• Reconstruction errors were notably lower with the high-resolution initialization compared to low-resolution initialization under identical measurement conditions.

Conclusions:

• A novel composite high-resolution image initialization method substantially improves TCR performance in DCE-MRI.
• This approach enables faster convergence and superior image quality at high undersampling rates.
• The findings suggest a promising strategy for accelerating DCE-MRI acquisition and improving diagnostic accuracy.