Optimizing Noise Index on GE CT
Lior Molvin RT, (MBA) manages the imaging protocols at Stanford Healthcare. In this lecture he covers how GE AEC systems work; and shares a mechanism for how the Stanford radiology CT group optimizes the noise index tool to achieve patient size specific exposure settings. This lecture was recorded in July 2019 at the 17th Stanford CT Workshop.
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Strategies used to Improve Cardiac CT Image Quality
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Introduction to the New Revolution CT Platform
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Radiation Dose in CT – Part 2
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An Introduction to Advanced MRI techniques: fMRI, spectroscopy, perfusion & diffusion tensor imaging
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Pulmonary Nodules
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Dual energy CT abdomen
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Key CT Parameters - What Are They Called and What Do They Mean?
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Introduction to Dual Energy CT Dr. Bhavik Patel
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Introduction to CT Head: Approach and Principles
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Iterative Reconstruction - Does it Work to Reduce Noise Without Messing up the Images?
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Cardiac Gating Editiing Techniques
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Deep Learning CT (from AAPM 2021)
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Contrast Medium Basics
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CT Imaging: Basic Technical Concepts
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A Practical Introduction to CT
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Basics of CT Physics
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Post Processing Cardiac CT
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How to read a CT angiogram (CTA) of the Head and Neck
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Multi-slice CT (What killed single slice CT?)
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