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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