{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T04:44:21Z","timestamp":1767156261127,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031164453"},{"type":"electronic","value":"9783031164460"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16446-0_53","type":"book-chapter","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T09:02:47Z","timestamp":1663318967000},"page":"560-570","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Graph-Based Compression of\u00a0Incomplete 3D Photoacoustic Data"],"prefix":"10.1007","author":[{"given":"Weihang","family":"Liao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinqiang","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroki","family":"Kajita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuo","family":"Kishi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Imari","family":"Sato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,17]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Arridge, S., et al.: Accelerated high-resolution photoacoustic tomography via compressed sensing. arXiv preprint arXiv:1605.00133 (2016)","key":"53_CR1","DOI":"10.1088\/1361-6560\/61\/24\/8908"},{"key":"53_CR2","doi-asserted-by":"publisher","first-page":"100144","DOI":"10.1016\/j.pacs.2019.100144","volume":"16","author":"ABE Attia","year":"2019","unstructured":"Attia, A.B.E., et al.: A review of clinical photoacoustic imaging: current and future trends. Photoacoustics 16, 100144 (2019)","journal-title":"Photoacoustics"},{"issue":"34","key":"53_CR3","first-page":"404","volume":"9","author":"AG Bell","year":"1880","unstructured":"Bell, A.G.: Upon the production and reproduction of sound by light. J. Soc. Telegr. Eng. 9(34), 404\u2013426 (1880)","journal-title":"J. Soc. Telegr. Eng."},{"issue":"2","key":"53_CR4","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MSP.2007.914731","volume":"25","author":"EJ Cand\u00e8s","year":"2008","unstructured":"Cand\u00e8s, E.J., Wakin, M.B.: An introduction to compressive sampling. IEEE Signal Process. Mag. 25(2), 21\u201330 (2008)","journal-title":"IEEE Signal Process. Mag."},{"doi-asserted-by":"crossref","unstructured":"Chao, Y.H., Cheung, G., Ortega, A.: Pre-demosaic light field image compression using graph lifting transform. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 3240\u20133244. IEEE (2017)","key":"53_CR5","DOI":"10.1109\/ICIP.2017.8296881"},{"issue":"4","key":"53_CR6","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.1109\/30.920468","volume":"46","author":"C Christopoulos","year":"2000","unstructured":"Christopoulos, C., Skodras, A., Ebrahimi, T.: The JPEG2000 still image coding system: an overview. IEEE Trans. Consum. Electron. 46(4), 1103\u20131127 (2000)","journal-title":"IEEE Trans. Consum. Electron."},{"doi-asserted-by":"crossref","unstructured":"Cui, W., Jiang, F., Gao, X., Zhang, S., Zhao, D.: An efficient deep quantized compressed sensing coding framework of natural images. In: Proceedings of the 26th ACM International Conference on Multimedia, pp. 1777\u20131785 (2018)","key":"53_CR7","DOI":"10.1145\/3240508.3240706"},{"issue":"4","key":"53_CR8","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"DL Donoho","year":"2006","unstructured":"Donoho, D.L.: Compressed sensing. IEEE Trans. Inf. Theory 52(4), 1289\u20131306 (2006)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"7","key":"53_CR9","doi-asserted-by":"publisher","first-page":"3543","DOI":"10.1364\/BOE.392882","volume":"11","author":"P Guo","year":"2020","unstructured":"Guo, P., Li, D., Li, X.: Deep oct image compression with convolutional neural networks. Biomed. Opt. Express 11(7), 3543\u20133554 (2020)","journal-title":"Biomed. Opt. Express"},{"issue":"2","key":"53_CR10","doi-asserted-by":"publisher","first-page":"021311","DOI":"10.1117\/1.3381187","volume":"15","author":"Z Guo","year":"2010","unstructured":"Guo, Z., Li, C., Song, L., Wang, L.V.: Compressed sensing in photoacoustic tomography in vivo. J. Biomed. Opt. 15(2), 021311 (2010)","journal-title":"J. Biomed. Opt."},{"issue":"11","key":"53_CR11","doi-asserted-by":"publisher","first-page":"114004","DOI":"10.1088\/2040-8978\/18\/11\/114004","volume":"18","author":"M Haltmeier","year":"2016","unstructured":"Haltmeier, M., Berer, T., Moon, S., Burgholzer, P.: Compressed sensing and sparsity in photoacoustic tomography. J. Opt. 18(11), 114004 (2016)","journal-title":"J. Opt."},{"doi-asserted-by":"crossref","unstructured":"Hu, Z., Lu, G., Xu, D.: FVC: a new framework towards deep video compression in feature space. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1502\u20131511 (2021)","key":"53_CR12","DOI":"10.1109\/CVPR46437.2021.00155"},{"issue":"1","key":"53_CR13","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1148\/radiol.2019190241","volume":"292","author":"H Kajita","year":"2019","unstructured":"Kajita, H., Kishi, K.: High-resolution imaging of lymphatic vessels with photoacoustic lymphangiography. Radiology 292(1), 35\u201335 (2019)","journal-title":"Radiology"},{"doi-asserted-by":"crossref","unstructured":"Liao, W., Cheung, G., Muramatsu, S., Yasuda, H., Hayasaka, K.: Graph learning & fast transform coding of 3D river data. In: 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1313\u20131317. IEEE (2018)","key":"53_CR14","DOI":"10.23919\/APSIPA.2018.8659721"},{"doi-asserted-by":"crossref","unstructured":"Liao, W., Subpa-asa, A., Zheng, Y., Sato, I.: 4D hyperspectral photoacoustic data restoration with reliability analysis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4598\u20134607 (2021)","key":"53_CR15","DOI":"10.1109\/CVPR46437.2021.00457"},{"doi-asserted-by":"crossref","unstructured":"Liu, X., Peng, D., Guo, W., Ma, X., Yang, X., Tian, J.: Compressed sensing photoacoustic imaging based on fast alternating direction algorithm. Int. J. Biomed. Imaging 2012 (2012)","key":"53_CR16","DOI":"10.1155\/2012\/206214"},{"doi-asserted-by":"crossref","unstructured":"Nagae, K., et al.: Real-time 3D photoacoustic visualization system with a wide field of view for imaging human limbs. F1000Research 7 (2018)","key":"53_CR17","DOI":"10.12688\/f1000research.16743.1"},{"issue":"5","key":"53_CR18","doi-asserted-by":"publisher","first-page":"808","DOI":"10.1109\/JPROC.2018.2820126","volume":"106","author":"A Ortega","year":"2018","unstructured":"Ortega, A., Frossard, P., Kova\u010devi\u0107, J., Moura, J.M., Vandergheynst, P.: Graph signal processing: overview, challenges, and applications. Proc. IEEE 106(5), 808\u2013828 (2018)","journal-title":"Proc. IEEE"},{"issue":"4","key":"53_CR19","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1109\/TMI.2008.2007825","volume":"28","author":"J Provost","year":"2008","unstructured":"Provost, J., Lesage, F.: The application of compressed sensing for photo-acoustic tomography. IEEE Trans. Med. Imaging 28(4), 585\u2013594 (2008)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"5","key":"53_CR20","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MSP.2014.2329213","volume":"31","author":"A Sandryhaila","year":"2014","unstructured":"Sandryhaila, A., Moura, J.M.: Big data analysis with signal processing on graphs: representation and processing of massive data sets with irregular structure. IEEE Signal Process. Mag. 31(5), 80\u201390 (2014)","journal-title":"IEEE Signal Process. Mag."},{"issue":"3","key":"53_CR21","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/MSP.2012.2235192","volume":"30","author":"DI Shuman","year":"2013","unstructured":"Shuman, D.I., Narang, S.K., Frossard, P., Ortega, A., Vandergheynst, P.: The emerging field of signal processing on graphs: extending high-dimensional data analysis to networks and other irregular domains. IEEE Signal Process. Mag. 30(3), 83\u201398 (2013)","journal-title":"IEEE Signal Process. Mag."},{"issue":"12","key":"53_CR22","doi-asserted-by":"publisher","first-page":"1649","DOI":"10.1109\/TCSVT.2012.2221191","volume":"22","author":"GJ Sullivan","year":"2012","unstructured":"Sullivan, G.J., Ohm, J.R., Han, W.J., Wiegand, T.: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649\u20131668 (2012)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"4","key":"53_CR23","doi-asserted-by":"publisher","first-page":"1765","DOI":"10.1109\/TIP.2016.2529506","volume":"25","author":"D Thanou","year":"2016","unstructured":"Thanou, D., Chou, P.A., Frossard, P.: Graph-based compression of dynamic 3D point cloud sequences. IEEE Trans. Image Process. 25(4), 1765\u20131778 (2016)","journal-title":"IEEE Trans. Image Process."},{"doi-asserted-by":"crossref","unstructured":"Wallace, G.K.: The JPEG still picture compression standard. IEEE Trans. Consum. Electron. 38(1), xviii\u2013xxxiv (1992)","key":"53_CR24","DOI":"10.1109\/30.125072"},{"issue":"1","key":"53_CR25","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/JSTQE.2007.913398","volume":"14","author":"LV Wang","year":"2008","unstructured":"Wang, L.V.: Tutorial on photoacoustic microscopy and computed tomography. IEEE J. Sel. Top. Quantum Electron. 14(1), 171\u2013179 (2008)","journal-title":"IEEE J. Sel. Top. Quantum Electron."},{"issue":"6075","key":"53_CR26","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1126\/science.1216210","volume":"335","author":"LV Wang","year":"2012","unstructured":"Wang, L.V., Hu, S.: Photoacoustic tomography: in vivo imaging from organelles to organs. Science 335(6075), 1458\u20131462 (2012)","journal-title":"Science"},{"issue":"8","key":"53_CR27","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1038\/nmeth.3925","volume":"13","author":"LV Wang","year":"2016","unstructured":"Wang, L.V., Yao, J.: A practical guide to photoacoustic tomography in the life sciences. Nat. Methods 13(8), 627 (2016)","journal-title":"Nat. Methods"},{"issue":"4","key":"53_CR28","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"doi-asserted-by":"crossref","unstructured":"Wiegand, T., Sullivan, G.J., Bjontegaard, G., Luthra, A.: Overview of the H. 264\/AVC video coding standard. IEEE Trans. Circuits Syst. Video Technol. 13(7), 560\u2013576 (2003)","key":"53_CR29","DOI":"10.1109\/TCSVT.2003.815165"},{"issue":"4","key":"53_CR30","doi-asserted-by":"publisher","first-page":"041101","DOI":"10.1063\/1.2195024","volume":"77","author":"M Xu","year":"2006","unstructured":"Xu, M., Wang, L.V.: Photoacoustic imaging in biomedicine. Rev. Sci. Instrum. 77(4), 041101 (2006)","journal-title":"Rev. Sci. Instrum."},{"issue":"11","key":"53_CR31","doi-asserted-by":"publisher","first-page":"2889","DOI":"10.1109\/TMM.2020.2967646","volume":"22","author":"X Yuan","year":"2020","unstructured":"Yuan, X., Haimi-Cohen, R.: Image compression based on compressive sensing: end-to-end comparison with jpeg. IEEE Trans. Multimedia 22(11), 2889\u20132904 (2020)","journal-title":"IEEE Trans. Multimedia"},{"doi-asserted-by":"crossref","unstructured":"Zeng, J., Cheung, G., Chao, Y.H., Blanes, I., Serra-Sagrist\u00e0, J., Ortega, A.: Hyperspectral image coding using graph wavelets. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 1672\u20131676. IEEE (2017)","key":"53_CR32","DOI":"10.1109\/ICIP.2017.8296566"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16446-0_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T07:09:40Z","timestamp":1721372980000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16446-0_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031164453","9783031164460"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16446-0_53","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"17 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2022\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft Conference","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1831","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"574","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}