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The invention pertains to a system and method for distinguishing stimulated emissions as a means of enhancing signal strength of fluorescent markers in fluorescence microscopy applications. The system is arranged such that an excitation beam (e.g., laser beam) illuminates a sample along some axis exciting the fluorescent markers used in the sample. A second light beam, a stimulation beam, illuminates the sample along another axis, possibly the same as that of the excitation beam.

The octopod-shaped iron oxide nanoparticles of this technology significantly enhance contrast in MRI imaging compared to spherical superparamagnetic iron oxide nanoparticle T₂ contrast agents. These octopod iron oxide nanoparticles show a transverse relaxivity that is over five times greater than comparable spherical agents. Because the unique octopod shape creates a greater effective radius than spherical agents, but maintains similar magnetization properties, the relaxation rate is improved. The improved relaxation rate greatly enhances the contrast of images.

Available for licensing and commercial development as imaging agents for positron emission tomography of cancer are boramino acid compounds. The inventors showed that mimetics created by substituting the carboxylate group (-COO^-) of an amino acid with trifluoroborate (-BF_3^-) are metabolically stable and allow for the use of fluorene-18 (¹⁸F) as the radiolabel.

Software is has been developed and available for licensing that fully automates image processing for the quantification of myocardial blood flow (MBF) pixel maps from firstpass contrast-enhanced cardiac magnetic resonance (CMR) perfusion images. The system removes the need for laborious manual quantitative CMR perfusion pixel map processing and can process prospective and retrospective studies acquired from various imaging protocols. In full automation, arterial input function (AIF) images are processed for motion correction and myocardial perfusion images are corrected for intensity bias.

One of four deaths in the United States is due to cancer despite an emphasis on prevention, early detection, and treatment that has lowered cancer death rates by 20% in the past two decades. Further improvements in survival rates are likely to come from improving the limits of detection sensitivity at earlier stages of cancer. New approaches that rely heavily on genomic information, however, may change future testing strategies.

The invention relates to a combination hybrid computer tomography (CT) system that is particularly suited for elucidating stages in pulmonary diseases, notably cystic fibrosis and lung cancer. Improved visualization of lung parenchyma and the margins of lung cysts (non-invasive “virtual biopsy”) may provide sufficient detail to distinguish the types of cystic lesions such that the typical lung tissue pathologic biopsy would not be needed to make a diagnosis.

Cancer represents the leading cause of morbidity and mortality worldwide, with approximately 14 million new cases and 8.2 million cancer related deaths in 2012. This number is predicted to rise by approximately 70% over the next two decades according to the World Health Organization. Prognosis depends heavily on both early detection and frequent monitoring of the patient's response to treatment. Cancerous tumors shed nucleic acids into blood, which can be detected by ultra-deep sequencing of mitochondrial DNA (mtDNA).

With respect to quantification of metabolites in the brain, conventional methods of magnetic resonance spectroscopy (MRS) yield results that are highly variable and highly dependent on the sequence type being applied. This invention describes a novel MRS technique that involves preparing longitudinal steady states at different flip angles using trains of RF pulses interspersed with field gradients to quantify metabolites.

The molecular imaging technique of positron emission tomography (PET) is an increasingly important tool in biomedical research and in drug discovery and development. Many small molecule drugs and potential PET radiotracers carry trifluoromethyl (CF₃) groups. Because CF₃ groups are generally considered to be metabolically stable, there is a strong interest in developing drugs with these groups.

This invention is a novel statistical method for automatically detecting lesions in cross-sectional brain magnetic resonance imaging (MRI) studies. OASIS uses multimodal MRI from one image acquisition session and produces voxel-level probability maps of the brain that quantifies the likelihood that each voxel is part of a lesion. Binary lesion segmentations are created from these probability maps using a validated population-level threshold. In this application, fluid attenuated inversion recovery (FLAIR), proton density (PD), T2-weighted, and Tl-weighted volumes were used.