of SiNPs and poor size control. The prospect of silicon-based particles as MRI probes with high sensitivity, long relaxation time and excellent polarizability is highly appealing. Therefore, the research described in this thesis aims at promoting the feasibility and versatility of silicon-based particles for hyperpolarized MRI.Specifically, for SiNPs with demonstrated hyperpolarization potential, we improve their stability by surface modification such as polymer grafting or lipid coating (Chapter 3 and Chapter 4), as well as explore available methods for the preparation of non-agglomerated silicon particles (Chapter 5). For silicon carbide, optical pumping has been demonstrated to polarize SiC nuclear spins. [5][6] SiC provides paramagnetic impurities and unpaired electrons that might also be used for hyperpolarization. Besides, both 13 C and 29 Si are MR visible and within the tuning ranges of commercial multinuclear MRI systems. SiC therefore presents an interesting yet hardly explored material for hyperpolarization via DNP. Factors that may affect DNP enhancements and T 1 relaxation times such as crystal structure, size, and chemical composition are under consideration (Chapter 6). The outline of this thesis is as follows:In Chapter 2, a literature review is given, where synthetic strategies and surface modification methods of silicon-based particles are introduced, particularly focusing on silicon particles and silicon carbide. A comprehensive overview of silicon-based particles in hyperpolarization MRI via dynamic nuclear polarization (DNP) is presented, including the basics of the DNP process and mechanism, as well as the physicochemical properties of silicon-based particles that affect DNP performance. In addition, different biomedical applications, including biomedical imaging (fluorescence imaging) and drug delivery with silicon-based nanoparticles are also briefly reviewed. The current limitations and challenges that need to be overcome for successful application of silicon particles in hyperpolarized imaging and multimodal imaging are discussed.