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The ability to provide complementary information about morphological, functional, metabolic, and neurochemical changes in many neurological disorders has fueled growing interest in multimodal imaging, such as using both positron emission tomography (PET) and magnetic resonance imaging (MRI), for the diagnosis and prognosis of disease as well as to understand the underlying physiology and pathology of the organ(s) of interest.

The strength of PET lies in the quantification of the radioactive pharmaceutical (radiotracer) concentrations in subjects, which can interrogate specific metabolic mechanisms of interest. However, in addition to subjecting those imaged to radiation exposure, the quality of the reconstructed images is still constrained by the physics of PET imaging, in particular the lower spatial resolution as compared with other modalities such as MRI, resulting in quantification discrepancies caused by partial volume effects.

In our lab, we have focused on tacking the inherent shortcomings of PET imaging; that is, its low spatial resolution, by fusing MRI information into PET for image enhancement, with the goal of generating enhanced PET images with a nominal spatial resolution approaching that of MRI.

Figure: Lin Y-N, Huang S-Y, Tsai C-H, Wang H-W, Chung M-C, Gong E, Hsiao I-T, Chen KT. “MRI-styled PET: A Dual-modality Fusion Approach to PET Partial Volume Correction.”  IEEE Trans Radiat Plasma Med Sci. doi:10.1109/TRPMS.2025.3549617 (Accepted) 

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