RT 202: ONLINE POST QUIZ REVIEW

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Last updated 1:00 PM on 9/21/26
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10 Terms

1
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FEATURE EXTRACTION

it detects and quantifies specific characteristics from segmented areas

2
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IMAGE FUSION

It combines images from different modalities into one composite image

3
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QANTITATIVE ANALYSIS

It converts image features into measurable data by using algorithms to extract numerical values from images

4
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IMAGE RESIGNATION

It aligns multiple images from different time points or modalities for comparision

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CONTRAST ENHANCEMENT

Increase the difference between light and dark regions, making subtle structures more visible

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IMAGE SEGMENTATION

Isolates and identifies specific anatomical Structures or region of interest

7
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IMAGE RESIZING AND NORMALIZATION

To standardize image size and brightness for consistency, especially when using automated analysis tools

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EDGE PRESEVATION

To retain important structural boundaries while removing unnecessary details

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NOISE REDUCTION

To remove unwanted random variations (noise) that can obscure important details in the image

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ARTIFACT REMOVAL

To eliminates artifacts cause by patient movement, metal implants or scanner errors that could interfere with diagnosis