{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T23:38:37Z","timestamp":1792712317069,"version":"4.5.0"},"reference-count":0,"publisher":"IOP Publishing","license":[{"start":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T00:00:00Z","timestamp":1792627200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T00:00:00Z","timestamp":1792627200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"Beijing Natural Science Foundation","award":["Z250002"],"award-info":[{"award-number":["Z250002"]}]},{"name":"Outstanding Young Talents of Guangdong Special Support Program","award":["092026219"],"award-info":[{"award-number":["092026219"]}]},{"name":"National Key R&D Program of China","award":["2024YFA1012000"],"award-info":[{"award-number":["2024YFA1012000"]}]},{"name":"National Key R&D Program of China","award":["2024YFC2417804"],"award-info":[{"award-number":["2024YFC2417804"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2024A1515140146"],"award-info":[{"award-number":["2024A1515140146"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62571228"],"award-info":[{"award-number":["62571228"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Objective. Multi-source linear static CT (SLCT) offers high temporal resolution and a compact form factor by eliminating mechanical rotation. However, lateral offsets of peripheral X-ray beams break the rotational symmetry assumed by conventional scatter correction methods, resulting in location-dependent and asymmetric scatter point spread functions (PSFs). Approach. To address this challenge, we propose a scatter correction framework that integrates a geometry-aware analytical kernel with a parameter regression network (GAPR-Net). An explicit correction term is incorporated into the conventional cone-beam scatter kernel to model asymmetric PSF distortion induced by lateral source offsets. GAPR-Net learns scatter kernel hyperparameters associated with source geometry and object thickness from Monte Carlo pencil-beam data, while a differentiable forward model analytically estimates scatter and enables stable optimization under a geometric consistency loss. Main results. Extensive simulation experiments were performed using water, electron-density, and ICRP phantoms, together with a DICOM-derived head phantom reconstructed using the derived three-dimensional SLCT reconstruction algorithm. Compared with SKS, DSE, ResNet, and a static-CT-specific 1D U-Net, GAPR-Net achieved consistent improvements. For the electron-density and ICRP phantoms, GAPR-Net achieved scatter-estimation mean absolute percentage errors of 4.43% and 5.31%, respectively. In the reconstructed images, it achieved a peak signal-to-noise ratio of 29.51 dB for the electron-density phantom and reduced the mean absolute percentage error of the ICRP thorax phantom from 14.69% to 6.07%. Head-phantom experiments at 80 kVp, 100 kVp, and 120 kVp further demonstrated stable performance across different X-ray spectra. A physical testbed experiment was conducted to evaluate the performance of the proposed GAPR-Net under real conditions. Significance. GAPR-Net provides a physically interpretable and computationally efficient approach for correcting non-stationary asymmetric scatter artifacts in SLCT.&amp;#xD;<\/jats:p>","DOI":"10.1088\/1361-6560\/aeb84e","type":"journal-article","created":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T22:52:52Z","timestamp":1792709572000},"source":"Crossref","is-referenced-by-count":0,"title":["Scatter correction for multi-source linear static CT via a geometry-aware parameter regression network with differentiable forward modeling"],"prefix":"10.1088","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0799-2961","authenticated-orcid":false,"given":"Yankun","family":"Wang","sequence":"first","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yule","family":"Li","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junhao","family":"Wu","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deyang","family":"Kong","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4713-9434","authenticated-orcid":false,"given":"Haomin","family":"Hou","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1597-8164","authenticated-orcid":false,"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6433-5067","authenticated-orcid":false,"given":"Zhaoying","family":"Bian","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Limin","family":"Li","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2958-1710","authenticated-orcid":false,"given":"Jianhua","family":"Ma","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6015-5010","authenticated-orcid":false,"given":"Dong","family":"Zeng","sequence":"additional","affiliation":[{"name":"Southern Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,10,22]]},"container-title":["Physics in Medicine &amp; Biology"],"original-title":[],"link":[{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb84e","content-type":"text\/html","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb84e\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb84e\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb84e\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T22:52:55Z","timestamp":1792709575000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb84e"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,22]]},"references-count":0,"URL":"https:\/\/doi.org\/10.1088\/1361-6560\/aeb84e","relation":{},"ISSN":["0031-9155","1361-6560"],"issn-type":[{"value":"0031-9155","type":"print"},{"value":"1361-6560","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,22]]}}}