Magnetic resonance imaging (MRI) plays a central role in oral and maxillofacial radiology by providing high-resolution, non-ionizing imaging of soft tissue, neural structures, and bone. This chapter focuses on the application of quantitative MRI (qMRI) and functional MRI (fMRI) in diagnostic imaging of the maxillofacial region. qMRI refers to the extraction of numerical radio biomarkers, such as T1 and T2 relaxation times, apparent diffusion coefficient (ADC), diffusion tensor imaging (DTI), magnetization transfer ratio (MTR), fat fraction, and quantitative susceptibility mapping (QSM), to characterize tissue composition, microstructure, and vascularity. fMRI, on the other hand, enables the assessment of physiological processes using techniques including blood oxygen level–dependent (BOLD) imaging, arterial spin labeling (ASL), and dynamic contrast-enhanced (DCE) perfusion. Clinical applications of these techniques include evaluation of tumors, inflammation, temporomandibular joint disorders, salivary gland pathology, jaw cysts and tumors, trigeminal nerve disorders, and implant site planning. Limitations in this context include motion artifacts, susceptibility effects in the head and neck region, and the need for advanced post-processing. This chapter also discusses the integration of radiomics, artificial intelligence, MR fingerprinting, and PET/MR imaging, supporting the role of qMRI and fMRI in developing standardized, data-driven approaches to diagnosis and treatment in oral and maxillofacial imaging.

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Quantitative and Functional MRI in Orofacial Imaging

  • Sivan Sathish

摘要

Magnetic resonance imaging (MRI) plays a central role in oral and maxillofacial radiology by providing high-resolution, non-ionizing imaging of soft tissue, neural structures, and bone. This chapter focuses on the application of quantitative MRI (qMRI) and functional MRI (fMRI) in diagnostic imaging of the maxillofacial region. qMRI refers to the extraction of numerical radio biomarkers, such as T1 and T2 relaxation times, apparent diffusion coefficient (ADC), diffusion tensor imaging (DTI), magnetization transfer ratio (MTR), fat fraction, and quantitative susceptibility mapping (QSM), to characterize tissue composition, microstructure, and vascularity. fMRI, on the other hand, enables the assessment of physiological processes using techniques including blood oxygen level–dependent (BOLD) imaging, arterial spin labeling (ASL), and dynamic contrast-enhanced (DCE) perfusion. Clinical applications of these techniques include evaluation of tumors, inflammation, temporomandibular joint disorders, salivary gland pathology, jaw cysts and tumors, trigeminal nerve disorders, and implant site planning. Limitations in this context include motion artifacts, susceptibility effects in the head and neck region, and the need for advanced post-processing. This chapter also discusses the integration of radiomics, artificial intelligence, MR fingerprinting, and PET/MR imaging, supporting the role of qMRI and fMRI in developing standardized, data-driven approaches to diagnosis and treatment in oral and maxillofacial imaging.