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System and Methodology of Performing Ultra Low-Dose CT Image-Guided Intervention Using Previous Normal-Dose CT Scans as Prior Constraints

Algorithm to incorporate previous normal-dose CT scan as the prior constraints to reconstruct subsequent ultra low-dose CT images. X-ray CT imaging in clinic, is known that the more exposure time for the patient the more harmful will be caused .Low-dose CT is desired in numerous clinical applications. Low-dose CT images directly correlated with lowering...
Published: 1/24/2020   |   Inventor(s): Zhengrong Liang, Jianhua Ma, Hao Zhang, William Moore, Hao Han
Keywords(s): Technology
Category(s): Medical Devices, Research Tools and Reagents, Campus > Stony Brook University

System and Methodology of Performing Ultra Low-Dose CT Image-Guided Intervention Using Previous Normal-Dose CT Scans as Prior Constraints

Algorithm to incorporate previous normal-dose CT scan as the prior constraints to reconstruct subsequent ultra low-dose CT images. X-ray CT imaging in clinic, is known that the more exposure time for the patient the more harmful will be caused .Low-dose CT is desired in numerous clinical applications. Low-dose CT images directly correlated with lowering...
Published: 1/24/2020   |   Inventor(s): Zhengrong Liang, Jianhua Ma, Hao Zhang, William Moore, Hao Han
Keywords(s): Technology
Category(s): Medical Devices, Research Tools and Reagents, Campus > Stony Brook University

Enhancement of Near Infrared Fluorescence Using Milk for Visualization of Ureteral Anatomy During Pelvic Surgeries

SUNY Upstate Medical University researchers have developed a simple, safe, and cost effective solution to be used in near infra-red tissue imaging. Researchers at SUNY Upstate Medical University have developed an improved fluorescent compound used tissue imaging. Typical imaging of renal tissue is conducted using a common fluorophore in medical...
Published: 12/18/2017   |   Inventor(s): Jay Reeder, Jed-Sian Cheng, Yachao Zhang, Ronald Wood
Keywords(s):  
Category(s): Technology Classifications > Medical Devices, Technology Classifications > Healthcare, Technology Classifications > Diagnostics

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