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PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

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On-board MRI image compression using video encoder for MR-guided radiotherapy.

Jiawen Shang¹, Peng Huang¹, Ke Zhang¹

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

Quantitative Imaging in Medicine and Surgery

|August 15, 2023

Summary

High Efficiency Video Coding (HEVC or H.265) effectively compresses Magnetic Resonance Imaging (MRI) data from radiotherapy, significantly reducing storage needs while maintaining image quality. This method offers a feasible solution for managing large MRI datasets in image-guided treatments.

Keywords:

Magnetic resonance imaging (MRI)auto-segment data compression magnetic resonance-guided radiotherapy (MR-guided radiotherapy)video encoder

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Area of Science:

Medical Imaging
Radiotherapy Technology
Data Compression

Background:

Magnetic Resonance Imaging (MRI) is crucial for image-guided radiotherapy, enabling online target monitoring and plan adaptation.
The large volume of data generated during MRI-guided radiotherapy presents significant storage challenges.

Purpose of the Study:

To investigate the feasibility of compressing MRI images from MR-guided radiotherapy using video encoders.
To evaluate the effectiveness of various video compression techniques for managing large MRI datasets.

Main Methods:

Two sorting algorithms (slice-prioritized and location-prioritized) were used to reorder MRI slices.
Three cropping algorithms (morphology, flood-fill, level-set) were applied for region-of-interest segmentation.
Four video encoders—motion-JPEG (M-JPEG), MPEG-4 (MP4), Advanced Video Coding (AVC or H.264), and High Efficiency Video Coding (HEVC or H.265)—were evaluated.

Main Results:

HEVC (H.265) achieved the highest compression ratios (up to 72% improvement over M-JPEG) and superior restoration accuracy.
Inter-frame coding video encoders (MP4, H.264, H.265) outperformed intra-frame coding (M-JPEG).
Slice-prioritized sorting and specific cropping algorithms further enhanced compression ratios, particularly with H.265.

Conclusions:

Video encoders, especially those using inter-frame coding like H.265, are feasible for high-performance MRI data storage in MR-guided radiotherapy.
Compression techniques can effectively address the data storage issues associated with MRI in radiotherapy.
Optimized sorting and cropping methods improve compression efficiency for MRI datasets.