Graph-Based Compression of Incomplete 3D Photoacoustic Data

Weihang Liao, Yinqiang Zheng, Hiroki Kajita, Kazuo Kishi, Imari Sato

研究成果: Conference contribution

抄録

Photoacoustic imaging (PAI) is a newly emerging bimodal imaging technology based on the photoacoustic effect; specifically, it uses sound waves caused by light absorption in a material to obtain 3D structure data noninvasively. PAI has attracted attention as a promising measurement technology for comprehensive clinical application and medical diagnosis. Because it requires exhaustively scanning an entire object and recording ultrasonic waves from various locations, it encounters two problems: a long imaging time and a huge data size. To reduce the imaging time, a common solution is to apply compressive sensing (CS) theory. CS can effectively accelerate the imaging process by reducing the number of measurements, but the data size is still large, and efficient compression of such incomplete data remains a problem. In this paper, we present the first attempt at direct compression of incomplete 3D PA observations, which simultaneously reduces the data acquisition time and alleviates the data size issue. Specifically, we first use a graph model to represent the incomplete observations. Then, we propose three coding modes and a reliability-aware rate-distortion optimization (RDO) to adaptively compress the data into sparse coefficients. Finally, we obtain a coded bit stream through entropy coding. We demonstrate the effectiveness of our proposed framework through both objective evaluation and subjective visual checking of real medical PA data captured from patients.

本文言語English
ホスト出版物のタイトルMedical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings
編集者Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
出版社Springer Science and Business Media Deutschland GmbH
ページ560-570
ページ数11
ISBN(印刷版)9783031164453
DOI
出版ステータスPublished - 2022
イベント25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 - Singapore, Singapore
継続期間: 2022 9月 182022 9月 22

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13436 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022
国/地域Singapore
CitySingapore
Period22/9/1822/9/22

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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