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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.</p> Signup and view all the answers

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

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

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.