Lectures related to CNR in Computed Tomography

Biomedical Imaging Fundamentals MOOC: Fundamentals of Biomedical Imaging: Ultrasounds, X-ray, positron emission tomography (PET) and applications

Covers the fundamentals of biomedical imaging, including contrast, signal-to-noise ratio, and contrast-to-noise ratio.

X-ray Detectors: Properties and Signal-to-Noise Ratio

Discusses X-ray detectors' properties, sensitivity, and signal-to-noise ratio quantification, as well as systematic errors like flat field corrections.

Quantum Optics I: Stern-Gerlach Experiment

Explores the Stern-Gerlach experiment, strong measurements, cavity quantum electrodynamics, and quantum optomechanics.

Signal Processing: Noise Filtering and Signal Estimation

Explores noise filtering, signal estimation, and signal-to-noise ratio optimization through Wiener-Khintchine theorem and power spectral density.

Optimization of SNR and CNR MOOC: Fundamentals of Biomedical Imaging: Ultrasounds, X-ray, positron emission tomography (PET) and applications

Discusses optimizing SNR through repeated measurements and CNR via experimental parameters selection and error propagation calculations.

Collimation of emitted x-rays MOOC: Fundamentals of Biomedical Imaging: Ultrasounds, X-ray, positron emission tomography (PET) and applications

Explores collimation in biomedical imaging, discussing its impact on resolution and sensitivity.

Noise Reduction Techniques

Explores noise reduction techniques in electrical systems, covering concepts like Fourier transform, impedance matching, and dithering.

Amplified Spontaneous Emission Noise in Fiber Amplifiers

Explores amplitude and phase modulation, noise figures, and detector noise in fiber amplifiers.

Noise in Data Acquisition

Explores noise sources in data acquisition, including thermal, shot, and amplifier noise, as well as the effects of ADC noise.

Medical Imaging: Techniques and Applications

Explores the origins and advancements in medical imaging techniques, including X-rays, CT scans, ultrasound, and optical projection tomography, as well as the use of capsule endoscopy in diagnosing gastrointestinal diseases.

Understanding Noise in Electrical Systems

Explores noise sources, Fluctuation-Dissipation Theorem, amplifier noise, interference effects, and quantization error in electrical systems.

Absorption and X-ray Spectrum MOOC: Fundamentals of Biomedical Imaging: Ultrasounds, X-ray, positron emission tomography (PET) and applications

Covers the fundamentals of biomedical imaging, including CT imaging and x-ray spectrum.

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X-ray Techniques and Applications Log in to Mediaspace to watch this video

Explores synchrotrons, x-ray techniques, ptychography, and nondestructive chip architecture study using PyXL.

Coherent Detection: Signal and Local Oscillator Interference Log in to Mediaspace to watch this video

Explores coherent detection in optical systems, highlighting the interference between the signal and local oscillator.

Back to Linear Regression Log in to Mediaspace to watch this video

Covers linear regression, regularization, inverse problems, X-ray tomography, image reconstruction, data inference, and detector intensity.

Direct Sequence Spread Spectrum Modulation (DSSS)Log in to Mediaspace to watch this video

Covers Direct Sequence Spread Spectrum Modulation (DSSS) to improve signal quality through wider bandwidth distribution and interference reduction.

Optical and Electronic Shot Noise: Signal to Noise Analysis Log in to Mediaspace to watch this video

Covers optical and electronic shot noise, focusing on signal-to-noise ratio calculations and the impact of quantum efficiency on detectivity.

Signal Processing: Filtering and Noise Reduction Log in to Mediaspace to watch this video

Explores signal-to-noise ratio, filtering noisy signals, and power spectral density for noise reduction in signal processing.

Electrical Metrology Log in to Mediaspace to watch this video

Explores different types of noise in electrical systems and their impact on electronic devices.