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Updated: Jan 20, 2026

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Exploring correlation information for image compression of four-dimensional computed tomography.

Hui Yan1, Yexiong Li1, Jianrong Dai1

  • 1Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.

Quantitative Imaging in Medicine and Surgery
|August 27, 2019
PubMed
Summary

Location-prioritized ordering and inter-frame prediction video compression significantly improve four-dimensional computed tomography (4DCT) image compression ratios. This method is ideal for radiotherapy applications requiring efficient storage of respiration-motion data.

Keywords:
Four-dimensional computed tomography (4DCT)image compressionvideo encoder

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Area of Science:

  • Medical Imaging
  • Radiotherapy
  • Data Compression

Background:

  • Four-dimensional computed tomography (4DCT) is essential for assessing respiration-related organ motion in radiotherapy.
  • 4DCT data requires substantial storage due to multiple CT image subsets.
  • Exploring correlations within 4DCT subsets can optimize compression strategies.

Purpose of the Study:

  • To evaluate the effectiveness of video encoders for 4DCT image compression.
  • To compare the impact of different image ordering methods (phase-prioritized vs. location-prioritized) on compression performance.
  • To assess various video compression algorithms, including lossless and lossy methods.

Main Methods:

  • 4DCT images were sequenced using phase-prioritized (PP) and location-prioritized (LP) ordering.
  • Three video encoders (one lossless, two lossy) were tested on 82 4DCT datasets.
  • Compression performance was quantitatively assessed based on compression ratios and inter-frame similarity.

Main Results:

  • The location-prioritized (LP) method achieved the highest compression ratios (up to 310) using an inter-frame prediction video encoder.
  • The phase-prioritized (PP) method achieved a maximum compression ratio of 260 with the same encoder.
  • Intra-frame coding algorithms yielded significantly lower compression ratios (16 and 7).

Conclusions:

  • The location-prioritized (LP) ordering method offers superior compression ratios for 4DCT images compared to phase-prioritized (PP) ordering.
  • Video encoders utilizing inter-frame prediction coding demonstrate better performance than those using intra-frame coding.
  • Combining the inter-frame prediction video encoder with the LP ordering method is highly suitable for efficient 4DCT image compression.