It is now known that human adults do possess viable brown fat in quantities that may be critical for maintenance of a normal basal metabolic rate (BMR) and body weight, dispelling the myth that BAT is only present during infancy for thermoregulation. There are data suggesting that obesity is associated with insufficient BAT. So far the only known and arguably 'gold standard' methodology of BAT imaging in humans is 18-FDG-PET. Yet 18-FDG-PET imaging has significant limitations, given its restricted spatial resolution and its non-trivial level of ionizing radiation (2.8 mSv). The International Commission for Radiological Protection recommends that the radiation exposure for the general public should not exceed 1mSv/year and 1.5 mSv/year from background radiation. In addition, 18-FDG-PET depends on glucose uptake by BAT that does not directly measure its key metabolic activity, namely fatty acid oxidation. Finally, PET scans are very costly. This makes the present gold standard far from ideal as a research tool for investigating BAT physiology. Thus the first objective of this project is to develop an alternative activated BAT imaging method that is not based on ionizing radiation. We are interested in advancing infrared (IR) thermography as a method to assess BAT activity by developing a novel image processing algorithms for IR thermography. Much extant literature describes the use of "average temperature" instead of IR heat flux using the physical principles of radiative heat transfer and thermodynamics to quantify heat from BAT. Also,IR digital still-shots were mostly employed in the past whereas none have reported the analysis of IR flux using a video sequence which more accurately integrates time-varying heat energy output. Without precision in capturing and processing the rich IR data, the value of IR thermography as a tool for BAT research is limited. It is thus crucial to convert the IR images into a readout that reflects energy output. We will thus develop, validate and apply automatic IR image processing with computer software that can efficiently calculate BAT activation. In this proposal we will also improve and validate anatomical fat fraction MRI as a tool for evaluating BAT volumes based on the higher water content in BAT compared with that in WAT. Fat fraction imaging by MRI has been proposed but no proper validation has been done due to the difficulty in matching PET and MRI data on BAT. Instead of using pharmacologic agents (e.g. beta 3-adrenergic receptor agonists such as mirabegron) that can be administered to activate BAT instead of cold stimulus, we will employ capsiate (i.e. capsinoids - non-spicy analogues of capsaicin in peppers and chilies) that have been proven to effectively stimulate BAT in thermoneutral conditions as confirmed by PET scans. We have conducted a preliminary study approved by the DSRB that showed the effectiveness of capsinoids in stimulating BAT. There are publications documenting the use of MRI in distinguishing BAT from WAT, each with their advantages and disadvantages. In this present study, we will perform a proof-of-concept study by simultaneous acquisition of MRI and 18-FDG-PET in a dual-modality fusion MRI-PET scanner available at the Clinical Imaging Research Centre (CIRC) to image BAT in humans, and correlate this with IR thermography of the cervical and supraclavicular regions (SCR) and with metabolic rate accurately measured in a whole body calorimeter. Whole body calorimetry is the real gold standard to assess BAT activity by measuring nonshivering thermogenesis. IR has so far been validated against 18-FDG-PET in mice and rodents, but equivalent validation in humans has not been published. If IR thermography is shown to be equivalent or superior to 18-FDG-PET imaging, it will set a new gold standard in BAT imaging which will be a boon for study of BAT biology in humans.