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JPEG 2000 compression of abdominal CT: difference in tolerance between thin- and thick-section images
Hyoun Sik Woo1, Kil Joong Kim, Tae Jung Kim
1Department of Radiology, Seoul National University Bundang Hospital, 300 Gumi-dong, Bundang-gu, Seongnam-si, Gyeonggi-do, Seoul 463-707, Korea.
Thin-section abdominal CT images tolerate Joint Photographic Experts Group (JPEG) 2000 compression less than thick-section images. Lower compression levels are recommended for thin-section abdominal CT to maintain image quality.
Area of Science:
- Medical Imaging
- Radiology
- Image Compression
Background:
- Joint Photographic Experts Group (JPEG) 2000 compression is widely used for medical images.
- Image compression's impact on diagnostic quality varies with image characteristics.
Purpose of the Study:
- To compare the compression tolerance of thin-section (0.67 mm) versus thick-section (5 mm) abdominal CT images using JPEG 2000 compression.
- To determine the visually lossless threshold for both thin and thick abdominal CT slices.
Main Methods:
- One hundred thin and thick abdominal CT image pairs were compressed at various levels (reversible, 6:1, 10:1, 15:1).
- Radiologists assessed image distinguishability from originals.
- Peak Signal-to-Noise Ratio (PSNR) and percentage of distinguishable pairs were analyzed.
- Visually lossless thresholds were estimated based on radiologist responses.
Main Results:
- Thin sections exhibited lower PSNR values across all compression levels compared to thick sections.
- Distinguishable artifacts appeared at lower compression ratios for thin sections (≥6:1) than for thick sections (10:1, 15:1).
- Visually lossless threshold for thin sections was below 6:1, while for thick sections it was between 6:1 and 10:1.
Conclusions:
- Thin-section abdominal CT images demonstrate reduced tolerance to JPEG 2000 compression.
- Lower compression ratios are necessary to achieve visually lossless compression for thin-section abdominal CT.
- Image quality considerations are critical when applying compression to high-resolution CT data.
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