115 research outputs found

    Bedrock Geologic Map of the Orchard 7.5\u27 Quadrangle, Floyd and Mitchell Counties, IA

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    https://ir.uiowa.edu/igs_ofm/1123/thumbnail.jp

    Surficial Geologic Map of Floyd County, Iowa

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    https://ir.uiowa.edu/igs_ofm/1140/thumbnail.jp

    Surficial Geologic Map of the Charles City 7.5\u27 Quadrangle, Floyd County, IA

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    https://ir.uiowa.edu/igs_ofm/1126/thumbnail.jp

    Bedrock Geologic Map of Mitchell County, IA

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    https://ir.uiowa.edu/igs_ofm/1121/thumbnail.jp

    Bedrock Geology of the New Haven 7.5\u27 Quadrangle, Mitchell County, Iowa

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    https://ir.uiowa.edu/igs_ofm/1119/thumbnail.jp

    Improving Sensitivity in Ultrasound Molecular Imaging by Tailoring Contrast Agent Size Distribution: In Vivo Studies

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    Molecular imaging with ultrasound relies on microbubble contrast agents (MCAs) selectively adhering to a ligand-specific target. Prior studies have shown that only small quantities of microbubbles are retained at their target sites, therefore, enhancing contrast sensitivity to low concentrations of microbubbles is essential to improve molecular imaging techniques. In order to assess the effect of MCA diameter on imaging sensitivity, perfusion and molecular imaging studies were performed with microbubbles of varying size distributions. To assess signal improvement and MCA circulation time as a function of size and concentration, blood perfusion was imaged in rat kidneys using nontargeted size-sorted MCAs with a Siemens Sequoia ultrasound system (Siemans, Mountain View, CA) in cadence pulse sequencing (CPS) mode. Molecular imaging sensitivity improvements were studied with size-sorted Ī±vĪ²3-targeted bubbles in both fibrosarcoma and R3230 rat tumor models. In perfusion imaging studies, video intensity and contrast persistence was ā‰ˆ8 times and ā‰ˆ3 times greater respectively, for ā€œsorted 3-micronā€ MCAs (diameter, 3.3 Ā± 1.95 Ī¼m) when compared to ā€œunsortedā€ MCAs (diameter, 0.9 Ā± 0.45 Ī¼m) at low concentrations. In targeted experiments, application of sorted 3-micron MCAs resulted in a ā‰ˆ20 times video intensity increase over unsorted populations. Tailoring size-distributions results in substantial imaging sensitivity improvement over unsorted populations, which is essential in maximizing sensitivity to small numbers of MCAs for molecular imaging
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