{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T12:02:00Z","timestamp":1767960120030,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,1,26]]},"DOI":"10.1145\/3773656.3773665","type":"proceedings-article","created":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T10:22:11Z","timestamp":1767954131000},"page":"351-361","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["ROIX-Comp: Optimizing X-ray Computed Tomography Imaging Strategy for Data Reduction and Reconstruction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7081-7329","authenticated-orcid":false,"given":"Amarjit","family":"Singh","sequence":"first","affiliation":[{"name":"RIKEN (R-CCS), Kobe, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7850-2121","authenticated-orcid":false,"given":"Kento","family":"Sato","sequence":"additional","affiliation":[{"name":"RIKEN (R-CCS), Kobe, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7639-899X","authenticated-orcid":false,"given":"Kohei","family":"Yoshida","sequence":"additional","affiliation":[{"name":"The University of Electro-Communications, Tokyo, Japan and RIKEN (R-CCS), Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2579-513X","authenticated-orcid":false,"given":"Kentaro","family":"Uesugi","sequence":"additional","affiliation":[{"name":"Japan Synchrotron Radiation Research Institute, Sayo, Hyogo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4040-5972","authenticated-orcid":false,"given":"Yasumasa","family":"Joti","sequence":"additional","affiliation":[{"name":"RIKEN SPring-8 Center, Kobe, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8144-3484","authenticated-orcid":false,"given":"Takaki","family":"Hatsui","sequence":"additional","affiliation":[{"name":"RIKEN SPring-8 Center, Kobe, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1270-9140","authenticated-orcid":false,"given":"Andr\u00e8s","family":"Rubio Proa\u00f1o","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n en Mecatr\u00f3nica y Sistemas Interactivos (MIST), Facultad de Ingenier\u00edas, Quito, Ecuador"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,1,25]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"H.\u00a0L. Abbott and M.\u00a0S. Taylor. 2023. Applications of X-ray Computed Tomography in Science Industry and Medicine. https:\/\/www.xctexamples.com Accessed: 2025-03-30."},{"key":"e_1_3_3_1_3_2","unstructured":"APS. 2025. Advanced Photon Source. https:\/\/www.aps.anl.gov Accessed: 2025-03-30."},{"key":"e_1_3_3_1_4_2","unstructured":"Yann Collet and Chip Turner. 2016. Smaller and Faster Data Compression with Zstandard. https:\/\/engineering.fb.com\/2016\/08\/31\/core-infra\/smaller-and-faster-data-compression-with-zstandard\/ Facebook Engineering Blog."},{"key":"e_1_3_3_1_5_2","unstructured":"ESRF. 2025. European Synchrotron Radiation Facility. https:\/\/www.esrf.eu Accessed: 2025-03-30."},{"key":"e_1_3_3_1_6_2","unstructured":"GZIP. 1993. The GZIP Home Page. http:\/\/www.gzip.org Accessed: 2025-02-01."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Sascha\u00a0Manuel Huck George S.\u00a0K. Fung Katia Parodi and Karl Stierstorfer. 2021. On the potential of ROI imaging in x-ray CT \u2013 A comparison of novel dynamic beam attenuators with current technology. Medical Physics 48 7 (July 2021) 3479\u20133499. doi:10.1002\/mp.14879","DOI":"10.1002\/mp.14879"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"David\u00a0A. Huffman. 1952. A Method for the Construction of Minimum-Redundancy Codes. Proceedings of the IRE 40 9 (September 1952) 1098\u20131101. doi:10.1109\/JRPROC.1952.273898","DOI":"10.1109\/JRPROC.1952.273898"},{"key":"e_1_3_3_1_9_2","volume-title":"SPring-8-II Conceptual Design Report","author":"Ishikawa T.","year":"2014","unstructured":"T. Ishikawa et\u00a0al. 2014. SPring-8-II Conceptual Design Report. Technical Report. RIKEN SPring-8 Center, Hyogo, Japan. https:\/\/rsc.riken.jp\/pdf\/SPring-8-II.pdf"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"T. Kameshima and T. Hatsui. 2022. Development of 150 Mpixel lens-coupled X-ray imaging detectors equipped with diffusion-free transparent scintillators based on an analytical optimization approach. J. Phys. Conf. Ser. 2380 1 (2022) 012094. doi:10.1088\/1742-6596\/2380\/1\/012094","DOI":"10.1088\/1742-6596\/2380\/1\/012094"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"Manpreet Kaur and Vikas Wasson. 2015. ROI Based Medical Image Compression for Telemedicine Application. Procedia Computer Science 70 (2015) 579\u2013585. doi:10.1016\/j.procs.2015.10.037","DOI":"10.1016\/j.procs.2015.10.037"},{"key":"e_1_3_3_1_12_2","unstructured":"Xin Liang Kai Zhao Sheng Di Sihuan Li Robert Underwood Ali\u00a0M. Gok Jiannan Tian Junjing Deng Jon\u00a0C. Calhoun Dingwen Tao Zizhong Chen and Franck Cappello. 2021. SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. arxiv:https:\/\/arXiv.org\/abs\/2111.02925\u00a0[cs.DC] https:\/\/arxiv.org\/abs\/2111.02925"},{"key":"e_1_3_3_1_13_2","unstructured":"P-S. Liao T-S. Chen and P-C. Chung. 2001. A fast algorithm for multilevel thresholding. Journal of Information Science and Engineering 17 5 (2001) 713\u2013727."},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Peter Lindstrom Jeffrey Hittinger James Diffenderfer Alyson Fox Daniel Osei-Kuffuor and Jeffrey Banks. 2025. ZFP: A compressed array representation for numerical computations. The International Journal of High Performance Computing Applications 39 1 (2025) 104\u2013122. doi:10.1177\/10943420241284023","DOI":"10.1177\/10943420241284023"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363524"},{"key":"e_1_3_3_1_16_2","volume-title":"Cone-Beam Computed Tomography Dataset of a Chicken Bone Imaged at 4 Different Dose Levels","author":"Meaney Alexander","year":"2022","unstructured":"Alexander Meaney. 2022. Cone-Beam Computed Tomography Dataset of a Chicken Bone Imaged at 4 Different Dose Levels. doi:10.5281\/zenodo.6990764"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Viswanath Muthukrishnan Sandeep Jaipurkar and Nedumaran Damodaran. 2024. Continuum topological derivative - A novel application tool for segmentation of CT and MRI images. NeuroImage: Reports 4 3 (2024) 100215. doi:10.1016\/j.ynirp.2024.100215","DOI":"10.1016\/j.ynirp.2024.100215"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Dominik M\u00fcller I\u00f1aki Soto-Rey and Frank Kramer. 2022. Towards a guideline for evaluation metrics in medical image segmentation. BMC Research Notes 15 1 (2022) 210. doi:10.1186\/s13104-022-06096-yPMID: 35725483; PMCID: PMC9208116.","DOI":"10.1186\/s13104-022-06096-y"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"N. Otsu. 1979. A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on Systems Man and Cybernetics 9 1 (1979) 62\u201366. doi:10.1109\/TSMC.1979.4310076","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid51090.2021.00014"},{"key":"e_1_3_3_1_21_2","unstructured":"Julian Seward. 1996. bzip2 and libbzip2. http:\/\/www.bzip.org Accessed: 2025-02-01."},{"key":"e_1_3_3_1_22_2","unstructured":"Sony Semiconductor Solutions Corporation. 2024. Industrial Camera Sensors Selector. https:\/\/www.sony-semicon.com\/en\/products\/is\/industry\/selector.html Accessed: 2025-04-14."},{"key":"e_1_3_3_1_23_2","unstructured":"SPring-8. 2025. SPring-8 Synchrotron Radiation Facility. http:\/\/www.spring8.or.jp\/en\/ Accessed: 2025-03-30."},{"key":"e_1_3_3_1_24_2","unstructured":"SPring-8 Research Facility. 2022. Wood Dataset: X-ray CT Imaging at Beamline BL20B2. http:\/\/www-bl20.spring8.or.jp\/xct\/ Sample: Wood Pixel size: 5.4 \u03bc m Energy: 15 keV 900 projections (180\u00b0) Exposure time: 200 ms\/projection. Obtained from SPring-8 Research Facility."},{"key":"e_1_3_3_1_25_2","unstructured":"SPring-8 Research Facility. 2022. X-ray CT Dataset: High-Resolution Imaging of Internal Structures. http:\/\/www-bl20.spring8.or.jp\/detectors\/manual\/Manual_HiPic_6_4_Jpn.pdf 904 images & 1804 images HiPic File Format. Obtained from SPring-8 Research Facility."},{"key":"e_1_3_3_1_26_2","unstructured":"SPring-8 Research Facility. 2023. Ryugu Particle Dataset: X-ray CT Imaging at Beamline BL47XU. Sample: Ryugu particle (A3_MPF_X002) Pixel size: 51.1 nm Energy: 7.35 keV 900 projections (180\u00b0) Exposure time: 200 ms\/projection. Obtained from SPring-8 Research Facility."},{"key":"e_1_3_3_1_27_2","unstructured":"Shuohao Zhang Yuting Yang Guangming Lu and David Bull. 2023. ROI-based Deep Image Compression with Swin Transformers. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2305.07783 (2023). https:\/\/arxiv.org\/abs\/2305.07783"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Junbao Zheng Lixian Wang Jiangsheng Gui and Abdulla\u00a0Hamad Yussuf. 2024. Study on Lung CT Image Segmentation Algorithm Based on Threshold-Gradient Combination and Improved Convex Hull Method. Scientific Reports 14 1 (July 2024) 17731. doi:10.1038\/s41598-024-68409-4","DOI":"10.1038\/s41598-024-68409-4"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Jacob Ziv and Abraham Lempel. 1977. A Universal Algorithm for Sequential Data Compression. IEEE Transactions on Information Theory 23 3 (May 1977) 337\u2013343. doi:10.1109\/TIT.1977.1055714","DOI":"10.1109\/TIT.1977.1055714"}],"event":{"name":"SCA\/HPCAsia 2026: Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region","location":"Osaka Japan","acronym":"SCA\/HPCAsia 2026"},"container-title":["Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region"],"original-title":[],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T10:22:42Z","timestamp":1767954162000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3773656.3773665"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,25]]},"references-count":28,"alternative-id":["10.1145\/3773656.3773665","10.1145\/3773656"],"URL":"https:\/\/doi.org\/10.1145\/3773656.3773665","relation":{},"subject":[],"published":{"date-parts":[[2026,1,25]]},"assertion":[{"value":"2026-01-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}