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Kenneth M. Tichauer

Researcher at Illinois Institute of Technology

Publications -  168
Citations -  1964

Kenneth M. Tichauer is an academic researcher from Illinois Institute of Technology. The author has contributed to research in topics: Molecular imaging & Imaging agent. The author has an hindex of 25, co-authored 149 publications receiving 1721 citations. Previous affiliations of Kenneth M. Tichauer include Robarts Research Institute & Dartmouth College.

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In Vivo Quantification of Tumor Receptor Binding Potential with Dual-Reporter Molecular Imaging

TL;DR: By providing a fast and robust measure of receptor density in tumors, the presented methodology has powerful implications for improving choices in cancer intervention, evaluation, and monitoring, and can be scaled to the clinic with an imaging modality like SPECT.
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Microscopic lymph node tumor burden quantified by macroscopic dual-tracer molecular imaging.

TL;DR: A method of correcting for nonspecific uptake with injection of a second untargeted tracer that allows for quantification of tumor burden in lymph nodes is presented and confirmed in an athymic mouse model of metastatic human breast cancer by targeting epidermal growth factor receptor.
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Dynamic dual-tracer MRI-guided fluorescence tomography to quantify receptor density in vivo

TL;DR: A dual-tracer optical technique is presented for noninvasive estimation of specific receptor binding in cancer using a multispectral MRI-coupled fluorescence molecular tomography system to image the uptake kinetics of two fluorescent tracers injected simultaneously.
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Quantitative in vivo cell-surface receptor imaging in oncology: kinetic modeling and paired-agent principles from nuclear medicine and optical imaging.

TL;DR: Approaches for overcoming limitations based upon tracer kinetic modeling and the use of emerging protocols to estimate binding potential and the related receptor concentration are reviewed.
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Comparison of time-resolved and continuous-wave near-infrared techniques for measuring cerebral blood flow in piglets

TL;DR: Results demonstrate that TR-NIR can measure CBF with reasonable accuracy and is sensitive to flow changes, and could be caused by differences in depth sensitivities between continuous-wave and time-resolved measurements.