Synopsis of recent research by authors named "Tianzhe Lu"
- Tianzhe Lu's research primarily focuses on enhancing the quality of Arterial Spin Labeling (ASL) magnetic resonance imaging (MRI) through advanced image processing techniques.
- In his 2022 publication, Lu presents a hybrid method that combines patch tensor decomposition with non-local means filtering to improve image denoising in ASL MRI, which is crucial for accurate measurement of cerebral blood flow.
- The findings highlight the effectiveness of this hybrid approach in increasing the signal-to-noise ratio (SNR) of ASL CBF perfusion images, thereby contributing to better diagnostic capabilities in the study of neurodegenerative diseases.