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Ultra Low-Dose CT Image-Guided Intervention Using Previous Scans as Prior Constraints

System and methodology of performing Low-dose CT images directly correlated with lowering the mAs parameter in data acquisition Background: It is well documented that the more X-ray CT imaging exposure time in a clinic, the more harm is caused to the patient. Low-dose CT is desirable in numerous clinical applications. Technology Overview: Low-dose CT...
Published: 8/27/2020   |   Inventor(s): Zhengrong Liang, Jianhua Ma, Hao Zhang, William Moore, Hao Han
Keywords(s): Image-Guided Intervention, Previous Normal-Dose Prior, Technologies, Ultra Low-Dose CT
Category(s): Medical Devices, Research Tools and Reagents, Campus > Stony Brook University

Ultra Low-Dose CT Image-Guided Intervention Using Previous Scans as Prior Constraints

System and methodology of performing Low-dose CT images directly correlated with lowering the mAs parameter in data acquisition Background: It is well documented that the more X-ray CT imaging exposure time in a clinic, the more harm is caused to the patient. Low-dose CT is desirable in numerous clinical applications. Technology Overview: Low-dose CT...
Published: 8/27/2020   |   Inventor(s): Zhengrong Liang, Jianhua Ma, Hao Zhang, William Moore, Hao Han
Keywords(s): Image-Guided Intervention, Previous Normal-Dose Prior, Technologies, Ultra Low-Dose CT
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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