{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:40:59Z","timestamp":1757619659748,"version":"3.44.0"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819699070"},{"type":"electronic","value":"9789819699087"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-9908-7_16","type":"book-chapter","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T16:26:18Z","timestamp":1753374378000},"page":"193-204","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Parallel Weighted Back-Projection Algorithm on Multi-CPU"],"prefix":"10.1007","author":[{"given":"Kaige","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Kuangzheng","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Yao","sequence":"additional","affiliation":[]},{"given":"Haodong","family":"Bian","sequence":"additional","affiliation":[]},{"given":"Jianqiang","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Xiaoying","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,25]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Wan, W., Briggs, J.A.G.: Cryo-electron tomography and subtomogram averaging. Methods Enzymol. 579, 329\u2013367 (2016)","DOI":"10.1016\/bs.mie.2016.04.014"},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Hagen, W.J.H., Wan, W., Briggs, J.A.G.: Implementation of a cryo-electron tomography tilt-scheme optimized for high resolution subtomogram averaging. J. Struct. Biol. 197(2), 191\u2013198 (2017)","DOI":"10.1016\/j.jsb.2016.06.007"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Koetzier, L.R., et al.: Deep learning image reconstruction for CT: technical principles and clinical prospects. Radiology 306(3), e221257 (2023)","DOI":"10.1148\/radiol.221257"},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"McCann, M.T., Unser, M.: High-quality parallel-ray X-ray CT back projection using optimized interpolation. IEEE Trans. Image Process. 26(10), 4639\u20134647 (2017)","DOI":"10.1109\/TIP.2017.2706521"},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Chilingaryan, S., Ametova, E., Kopmann, A., Mirone, A.: Reviewing GPU architectures to build efficient back projection for parallel geometries. J. Real-Time Image Process. 17(5), 1331\u20131373 (2020)","DOI":"10.1007\/s11554-019-00883-w"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Cao, Y., et al.: Parallel optimization and implementation of a real-time back projection (BP) algorithm for SAR based on FPGA. Sensors 22(6), 2292 (2022)","DOI":"10.3390\/s22062292"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Andersson, F., Carlsson, M., Nikitin, V.V.: Fast algorithms and efficient GPU implementations for the radon transform and the back-projection operator represented as convolution operators. SIAM J. Imaging Sci. 9(2), 637\u2013664 (2016)","DOI":"10.1137\/15M1023762"},{"issue":"1","key":"16_CR8","doi-asserted-by":"publisher","DOI":"10.1002\/eng2.12601","volume":"7","author":"Z Wang","year":"2025","unstructured":"Wang, Z., Ruan, H., Yang, G., et al.: Parallelizing the Cryo-EM structure determination in THUNDER using GPU cluster. Eng. Rep. 7(1), e12601 (2025)","journal-title":"Eng. Rep."},{"key":"16_CR9","unstructured":"Sampson, R., McGaffin, M.G., Wenisch, T.F., Fessler, J.A.: Investigating multi-threaded SIMD for helical CT reconstruction on a CPU. In: Proceedings 4th International Meeting on Image Formation in X-ray CT, pp. 275\u2013278 (2016)"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Liu, R., Fu, L., De Man, B., Yu, H.: GPU-based branchless distance-driven projection and backprojection. IEEE Trans. Comput. Imaging 3(4), 617\u2013632 (2017)","DOI":"10.1109\/TCI.2017.2675705"},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Chen, P., et al.: Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. In: Proceedings of the 35th ACM International Conference on Supercomputing, pp. 316\u2013328 (2021)","DOI":"10.1145\/3447818.3460353"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Tao, J., Ni, W., Song, C., Wang, X.: FSSBP: fast spatial\u2013spectral back projection based on pan-sharpening iterative optimization. Remote Sens. 15(18), 4543 (2023)","DOI":"10.3390\/rs15184543"},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Gong, H., Liu, Y., Chen, X., Wang, C.: Scene optimization of GPU-based back-projection algorithm. J. Supercomput. 79(4), 4192\u20134214 (2023)","DOI":"10.1007\/s11227-022-04785-w"},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Turo\u0148ov\u00e1, B., Schur, F.K.M., Wan, W., Briggs, J.A.G.: Efficient 3D-CTF correction for cryo-electron tomography using NovaCTF improves subtomogram averaging resolution to 3.4 \u00c5. J. Struct. Biol. 199(3), 187\u2013195 (2017)","DOI":"10.1016\/j.jsb.2017.07.007"},{"key":"16_CR15","doi-asserted-by":"crossref","unstructured":"Jensen, G.J., Kornberg, R.D.: Defocus-gradient corrected back-projection. Ultramicroscopy 84(1\u20132), 57\u201364 (2000)","DOI":"10.1016\/S0304-3991(00)00005-X"},{"issue":"2","key":"16_CR16","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.jsb.2016.06.016","volume":"197","author":"M Kunz","year":"2017","unstructured":"Kunz, M., Frangakis, A.S.: Three-dimensional CTF correction improves the resolution of electron tomograms. J. Struct. Biol. 197(2), 114\u2013122 (2017)","journal-title":"J. Struct. Biol."},{"key":"16_CR17","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1038\/s41592-018-0223-8","volume":"15","author":"M Hu","year":"2018","unstructured":"Hu, M., Yu, H., Gu, K., et al.: A particle-filter framework for robust Cryo-EM 3D reconstruction. Nat. Methods 15, 1083\u20131089 (2018)","journal-title":"Nat. Methods"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9908-7_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T22:04:54Z","timestamp":1757282694000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9908-7_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819699070","9789819699087"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9908-7_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}