Podcast
Questions and Answers
What is the primary cause of noise in cross-sectional imaging?
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?
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?
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?
Which of the following statements about noise in imaging is incorrect?
What is the effect of high noise levels in cross-sectional imaging?
What is the effect of high noise levels in cross-sectional imaging?
Flashcards
Image Noise
Image Noise
A grainy appearance in medical imaging, like a 'static' on your TV.
Noise's Effect
Noise's Effect
Noise reduces image clarity and makes it harder to distinguish subtle differences.
Cause of Noise
Cause of Noise
Noise is mainly caused by a lack of signal (photons) in the image.
Signal-to-Noise Ratio (SNR)
Signal-to-Noise Ratio (SNR)
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High SNR vs. Low SNR
High SNR vs. Low SNR
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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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