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Noise in Imaging Quiz

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Questions and Answers

What is the primary cause of noise in cross-sectional imaging?

Use of incorrect imaging techniques
High photon count in an image
Excessive image processing
Low photon count in an image (correct)

How does noise affect picture quality in imaging?

It decreases picture quality (correct)
It stabilizes the imaging process
It increases contrast resolution
It enhances image clarity

What measurement is used to assess noise in imaging?

Contrast enhancement ratio (CER)
Photon density measurement (PDM)
Signal to noise ratio (SNR) (correct)
Image clarity index (ICI)

Which of the following statements about noise in imaging is incorrect?

<p>Noise is a measurement of image clarity. (D)</p> Signup and view all the answers

What is the effect of high noise levels in cross-sectional imaging?

<p>Obscured important features (C)</p> Signup and view all the answers

Flashcards

Image Noise

A grainy appearance in medical imaging, like a 'static' on your TV.

Noise's Effect

Noise reduces image clarity and makes it harder to distinguish subtle differences.

Cause of Noise

Noise is mainly caused by a lack of signal (photons) in the image.

Signal-to-Noise Ratio (SNR)

A measurement that compares the strength of the signal to the level of noise in an image.

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High SNR vs. Low SNR

A higher SNR indicates less noise and a clearer image, while a low SNR means more noise and reduced image quality.

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Study Notes

Noise in Imaging

Noise is a grainy appearance in cross-sectional images.
Noise degrades image quality and reduces contrast resolution.
Low photon counts in an image cause noise.
Signal-to-noise ratio (SNR) measures noise.

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Description

This quiz covers the impact of noise on imaging quality, focusing on factors like low photon counts and signal-to-noise ratio (SNR). Understand how noise affects image clarity and contrast resolution through a series of questions. Test your knowledge and improve your grasp of imaging science.