{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T04:39:14Z","timestamp":1743050354732,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030873578"},{"type":"electronic","value":"9783030873585"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87358-5_56","type":"book-chapter","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T23:54:11Z","timestamp":1632959651000},"page":"691-703","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["EMISTA-Based Quantitative PET Reconstruction"],"prefix":"10.1007","author":[{"given":"Linlin","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huafeng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,30]]},"reference":[{"key":"56_CR1","doi-asserted-by":"publisher","first-page":"20170508","DOI":"10.1259\/bjr.20170508","volume":"91","author":"H Zaidi","year":"2017","unstructured":"Zaidi, H., Karakatsanis, N.: Towards enhanced PET quantification in clinical oncology. Br. J. Radiol. 91, 20170508 (2017)","journal-title":"Br. J. Radiol."},{"issue":"1","key":"56_CR2","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1109\/42.370409","volume":"14","author":"AR De Pierro","year":"1995","unstructured":"De Pierro, A.R.: A modified expectation maximization algorithm for penalized likelihood estimation in emission tomography. IEEE Trans. Med. Imaging 14(1), 132\u2013137 (1995)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"6","key":"56_CR3","doi-asserted-by":"publisher","first-page":"065202","DOI":"10.1088\/1402-4896\/ab0854","volume":"94","author":"Z Zhang","year":"2019","unstructured":"Zhang, Z., Liu, H.: Nonlocal total variation based dynamic PET image reconstruction with low-rank constraints. Phys. Scr. 94(6), 065202 (2019)","journal-title":"Phys. Scr."},{"key":"56_CR4","doi-asserted-by":"publisher","unstructured":"Xie, N., et al.: Penalized-likelihood PET image reconstruction using 3D structural convolutional sparse coding. IEEE Trans. Biomed. Eng. (2020). https:\/\/doi.org\/10.1109\/TBME.2020.3042907","DOI":"10.1109\/TBME.2020.3042907"},{"key":"56_CR5","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1002\/mp.13364","volume":"46","author":"J Cui","year":"2019","unstructured":"Cui, J., Yu, H., Chen, S., Chen, Y., Liu, H.: Simultaneous estimation and segmentation from projection data in dynamic PET. Med. Phys. 46, 1245\u20131259 (2019)","journal-title":"Med. Phys."},{"key":"56_CR6","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1109\/TRPMS.2019.2947860","volume":"4","author":"J Cui","year":"2020","unstructured":"Cui, J., Qin, Z., Chen, S., Chen, Y., Liu, H.: Structure and tracer kinetics-driven dynamic PET reconstruction. IEEE Trans. Radiat. Plasma Med. Sci. 4, 400\u2013409 (2020)","journal-title":"IEEE Trans. Radiat. Plasma Med. Sci."},{"key":"56_CR7","doi-asserted-by":"publisher","unstructured":"Tozaki, T., Senda, M., Sakamoto, S., Matsumoto, K.: Computer assisted diagnosis method of whole body cancer using FDG-PET images. In: Proceedings 2003 International Conference on Image Processing (Cat. No. 03CH37429), vol. 2, pp. II\u20131085 (2003). https:\/\/doi.org\/10.1109\/ICIP.2003.1246874","DOI":"10.1109\/ICIP.2003.1246874"},{"issue":"20","key":"56_CR8","doi-asserted-by":"publisher","first-page":"205010","DOI":"10.1088\/1361-6560\/ab469d","volume":"64","author":"EC Emond","year":"2019","unstructured":"Emond, E.C., Groves, A.M., Hutton, B.F., Thielemans, K.: Effect of positron range on PET quantification in diseased and normal lungs. Phys. Med. Biol. 64(20), 205010 (2019)","journal-title":"Phys. Med. Biol."},{"key":"56_CR9","doi-asserted-by":"crossref","unstructured":"Miederer, M., Pektor, S., Miederer, I., Bausbacher, N., Diken, M.: Iodine-124 PET quantification of organ-specific delivery and expression of NIS-encoding RNA. EJNMMI Res. 11(1), 1\u20138 (2021)","DOI":"10.1186\/s13550-021-00753-2"},{"issue":"1","key":"56_CR10","doi-asserted-by":"publisher","first-page":"17","DOI":"10.2174\/1874471010801010017","volume":"1","author":"Y Seo","year":"2008","unstructured":"Seo, Y.: Quantification of SPECT and PET for drug development. Curr. Radiopharm. 1(1), 17\u201321 (2008)","journal-title":"Curr. Radiopharm."},{"issue":"11","key":"56_CR11","first-page":"5341","volume":"23","author":"MT Madsen","year":"2005","unstructured":"Madsen, M.T.: Emission tomography: the fundamentals of PET and SPECT. Shock 23(11), 5341\u20139 (2005)","journal-title":"Shock"},{"issue":"3","key":"56_CR12","doi-asserted-by":"publisher","first-page":"462","DOI":"10.2967\/jnumed.107.044834","volume":"49","author":"JS Karp","year":"2008","unstructured":"Karp, J.S., Surti, S., Daube-Witherspoon, M.E., Muehllehner, G.: Benefit of time-of-flight in PET: experimental and clinical results. J. Nucl. Med. 49(3), 462 (2008)","journal-title":"J. Nucl. Med."},{"issue":"7","key":"56_CR13","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1109\/TMI.2006.873222","volume":"25","author":"AM Alessio","year":"2006","unstructured":"Alessio, A.M., Kinahan, P.E., Lewellen, T.K.: Modeling and incorporation of system response functions in 3-D whole body PET. IEEE Trans. Med. Imaging 25(7), 828\u2013837 (2006)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"7","key":"56_CR14","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1109\/TMI.2006.876171","volume":"25","author":"VY Panin","year":"2006","unstructured":"Panin, V.Y., Kehren, F., Michel, C., Casey, M.: Fully 3-D PET reconstruction with system matrix derived from point source measurements. IEEE Trans. Med. Imaging 25(7), 907\u2013921 (2006)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"56_CR15","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1186\/s40658-020-0272-9","volume":"7","author":"P Garc\u00eda-P\u00e9rez","year":"2020","unstructured":"Garc\u00eda-P\u00e9rez, P., Espaa, S.: Simultaneous emission and attenuation reconstruction in time-of-flight PET using a reference object. EJNMMI Phys. 7(1), 3 (2020)","journal-title":"EJNMMI Phys."},{"issue":"5","key":"56_CR16","doi-asserted-by":"publisher","first-page":"794","DOI":"10.2967\/jnumed.106.035717","volume":"48","author":"AM Alessio","year":"2007","unstructured":"Alessio, A.M., Kohlmyer, S., Branch, K., Chen, G., Kinahan, P.: Cine CT for attenuation correction in cardiac PET\/CT. J. Nucl. Med. 48(5), 794\u2013801 (2007)","journal-title":"J. Nucl. Med."},{"issue":"10","key":"56_CR17","doi-asserted-by":"publisher","first-page":"6443","DOI":"10.1118\/1.4754796","volume":"39","author":"B Fei","year":"2012","unstructured":"Fei, B., et al.: MR\/PET quantification tools: registration, segmentation, classification, and MR-based attenuation correction. Med. Phys. 39(10), 6443\u20136454 (2012)","journal-title":"Med. Phys."},{"key":"56_CR18","doi-asserted-by":"crossref","unstructured":"Bortolin, K., Arabi, H., Zaidi, H.: Deep learning-guided attenuation and scatter correction without using anatomical images in brain PET\/MRI. In: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS\/MIC), pp. 1\u20133. IEEE (2019)","DOI":"10.1109\/NSS\/MIC42101.2019.9059943"},{"issue":"11","key":"56_CR19","doi-asserted-by":"publisher","first-page":"3512","DOI":"10.1109\/TMI.2020.2998480","volume":"39","author":"H Lim","year":"2020","unstructured":"Lim, H., Chun, I.Y., Dewaraja, Y.K., Fessler, J.A.: Improved low-count quantitative PET reconstruction with an iterative neural network. IEEE Trans. Med. Imaging 39(11), 3512\u20133522 (2020)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"56_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, J., Ghanem, B.: ISTA-Net: interpretable optimization-inspired deep network for image compressive sensing. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1828\u20131837. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00196"},{"issue":"2","key":"56_CR21","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1118\/1.597290","volume":"21","author":"IG Zubal","year":"1999","unstructured":"Zubal, I.G.: Computerized three-dimensional segmented human anatomy. Med. Phys. 21(2), 299 (1999)","journal-title":"Med. Phys."},{"issue":"4","key":"56_CR22","first-page":"636","volume":"42","author":"RF Muzic","year":"2001","unstructured":"Muzic, R.F., Cornelius, S.: Comkat: compartment model kinetic analysis tool. J. Nucl. Med. 42(4), 636\u2013645 (2001)","journal-title":"J. Nucl. Med."},{"issue":"2","key":"56_CR23","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1109\/42.293921","volume":"13","author":"JA Fessler","year":"1994","unstructured":"Fessler, J.A.: Penalized weighted least-squares image reconstruction for positron emission tomography. IEEE Trans. Med. Imaging 13(2), 290\u2013300 (1994)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"56_CR24","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/j.media.2019.03.013","volume":"54","author":"I H\u00e4ggstr\u00f6m","year":"2019","unstructured":"H\u00e4ggstr\u00f6m, I., Schmidtlein, C.R., Campanella, G., Fuchs, T.J.: Deeppet: a deep encoder-decoder network for directly solving the PET image reconstruction inverse problem. Med. Image Anal. 54, 253\u2013262 (2019)","journal-title":"Med. Image Anal."},{"key":"56_CR25","doi-asserted-by":"publisher","unstructured":"Hor\u00e9, A., Ziou, D.: Image quality metrics: PSNR vs. SSIM. In: 2010 20th International Conference on Pattern Recognition, pp. 2366\u20132369 (2010). https:\/\/doi.org\/10.1109\/ICPR.2010.579","DOI":"10.1109\/ICPR.2010.579"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87358-5_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,30]],"date-time":"2021-09-30T01:21:36Z","timestamp":1632964896000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87358-5_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030873578","9783030873585"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87358-5_56","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Haikou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icig2021.csig.org.cn\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"421","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":"198","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":"47% - 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":"3","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)"}},{"value":"Conference was postponed due to the COVID19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}