Project

1 MRI sequence

1.1 pCASL sequence

Pseudo continuous arterial spin labeling sequence on the GE and Siemens platform. It provides improved SNR and robustness. The sequence can be optimized for children brain imaging.

2 AI enhanced image

A multimodality pattern was proposed by combining the information from the blood flow and glucose metabolism. It offerred three major advantages compared to single modality patterns, including a larger score difference between the HC and PD groups with a higher likelihood to detect the group differences, higher accuracies in PD diagnosis, and improved correlations with clinical scores.

2.2 Anatomic and ASL image fusion

2.3 Physical resolution-based MRI segmentation

2.4 Self-Supervised Super-Resolution ASL Enhancement based on Conditional Diffusion Models (SURED)

3 Functional Imaging

3.1 Global brain network detecting by ASL

Arterial spin labeled perfusion MRI was used to characterize global correlations and their relationship to correlations and anti-correlations between regional networks. Removal of these global fluctuations prior to measurement of regional networks reduces all regional network fluctuation amplitudes and changes the strength and sign of inter network correlations. link

3.2 Resting state fMRI data censoring

The proposed Cross Validation-Based Data Censoring(CVDC) method may show three major advantages compared with the conventional fMRI pipeline, including increased likelihood to detect the group-differences, improved reproducibility when removing a small fraction of subjects, and superior sensitivity to detect subtle network differences. link

4 glymphatic system and choroid plexus

4.1 CSF generation measured using ASL

ASL can provide a clinically feasible option to quantify the dynamic characteristics of choroid plexus blood flow. The long T1 of the choroid plexus may suggest the transport of water from arterial blood to the CSF, potentially providing a method to quantify CSF generation. link