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High-Performance Image Compression Methods for Cone-Beam Computerized Tomography

H Yan1*, J Dai2 , (1) Cancer Res Inst & Hosp of CAMS, Beijing, ,(2) Cancer Institute Hospital, CAMS, Panjiayuan Nanli 17, Chaoyang District, 11


(Sunday, 7/14/2019)  

Room: ePoster Forums

Purpose: Cone beam computerized tomography (CBCT) is routinely performed for verification of patient position in radiotherapy. It produced large amount of data which requires method to compress them for efficient storage. In this study three video compression algorithms were introduced and their performance was evaluated based on real patient data.

Methods: At first CBCT images in multiple sets of a patient were transferred from reconstruction workstation or exported from treatment planning system. Then CBCT images were sorted according to imaging time (time-prioritized sequence) or imaging location (location-prioritized sequence). Next, this sequence was processed by a video compression algorithm and a movie was resulted. Three representative video compression algorithms (Motion JPEG 2000, Motion JPEG AVI, and MPEG-4) were employed and their compression performance was evaluated based on the CBCT data of 30 patients.

Results: Among three video compression algorithms, Motion JPEG 2000 has the least compression ratio since it is a lossless compression algorithm. Motion JPEG AVI and MPEG-4 have higher compression ratios than Motion JPEG 2000 but come with certain image losses. For MPEG-4, location-prioritized sequences show higher compression ratio than time-prioritized sequences.

Conclusion: Video compression algorithm could provide higher compression ratio comparing to static image compression algorithm. Although there are certain image losses due to video compression algorithms, its effect on verification of patient position is minor. Video compression method is an effective way to reduce the size of CBCT images for efficient storage.


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