{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T23:41:25Z","timestamp":1792194085765,"version":"4.4.0"},"reference-count":0,"publisher":"IOP Publishing","license":[{"start":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T00:00:00Z","timestamp":1792108800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T00:00:00Z","timestamp":1792108800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01CA272991"],"award-info":[{"award-number":["R01CA272991"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EB032680"],"award-info":[{"award-number":["R01EB032680"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U54CA274513"],"award-info":[{"award-number":["U54CA274513"]}],"id":[{"id":"10.13039\/100000002","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: Limited-angle cone-beam computed tomography (CBCT) is attractive for imageguided radiotherapy and imaging-guided procedure when full-arc acquisition is impractical, but the incomplete angular sampling leads to severe streaking, shading, and structural distortion. This study aimed to develop a physics-constrained and geometry-aware deep reconstruction framework for recovering anatomically faithful volumetric CBCT from  limited-angle projections.&amp;#xD;Approach: We propose PCGA-Net, a dual-domain reconstruction framework that combines projection completion, analytic geometric reconstruction, and image-domain refinement within a unified cross-domain design. Specifically, a projection completion module first estimates missingangle information from the measured limited-angle projections. A geometry-aware reconstruction module then maps the completed projections into image space using differentiable cone-beam forward and backward-projection operators. Finally, a volumetric refinement module suppresses residual artifacts and restores anatomical detail under geometry-guided cross-domain consistency supervision. The framework was evaluated on three cohorts: gynecologic highdose-rate brachytherapy, abdominal liver 4DCT, and head-and-neck CBCT.&amp;#xD;Main Results: Across all three cohorts, PCGA-Net consistently outperformed conventional limitedangle FDK reconstruction and the compared learning-based baselines, cGAN and PatRecon-Net, in both qualitative and quantitative evaluation. On the gynecologic HDR brachytherapy cohort, PCGA-Net achieved an MAE of 34.47 \u00b1 6.28 HU, an SSIM of 0.87 \u00b1 0.04, and a PSNR of 35.79 \u00b1 0.95 dB. On the abdominal liver 4DCT cohort, PCGA-Net achieved 39.27 \u00b1 6.10 HU MAE, 0.82 \u00b1 0.03 SSIM, and 36.85 \u00b1 1.16 dB PSNR.On the head-and-neck CBCT cohort, PCGA-Net achieved 28.42 \u00b1 4.88 HU MAE, 0.91 \u00b1 0.05 SSIM, and 38.52 \u00b1 0.95 dB PSNR. In all three cohorts, PCGA-Net exceeded cGAN and PatRecon-Net across all evaluated metrics. &amp;#xD;Significance: These results indicate that jointly enforcing projection-domain completion, analytic imaging geometry, and image-domain refinement is an effective strategy for limited-angle CBCT reconstruction. PCGA-Net provides a robust short-arc reconstruction framework across multiple anatomical sites, supporting its potential utility in constrained imageguided therapeutic and procedural settings.<\/jats:p>","DOI":"10.1088\/1361-6560\/aeb59b","type":"journal-article","created":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T22:54:05Z","timestamp":1792191245000},"source":"Crossref","is-referenced-by-count":0,"title":["Physics-constrained and geometry-aware deep reconstruction for limited-angle CBCT"],"prefix":"10.1088","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7523-8927","authenticated-orcid":false,"given":"Mingzhe","family":"Hu","sequence":"first","affiliation":[{"name":"Emory University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoyan","family":"Pan","sequence":"additional","affiliation":[{"name":"Emory University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6988-4217","authenticated-orcid":false,"given":"Yuan","family":"Gao","sequence":"additional","affiliation":[{"name":"Emory University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiqiao","family":"Xie","sequence":"additional","affiliation":[{"name":"Emory University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jill","family":"Remick","sequence":"additional","affiliation":[{"name":"Emory University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3818-4381","authenticated-orcid":false,"given":"Chih-Wei","family":"Chang","sequence":"additional","affiliation":[{"name":"Emory University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin","family":"Roper","sequence":"additional","affiliation":[{"name":"Emory University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4098-5882","authenticated-orcid":false,"given":"Zhen","family":"Tian","sequence":"additional","affiliation":[{"name":"The University of Chicago"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9023-5855","authenticated-orcid":false,"given":"Xiaofeng","family":"Yang","sequence":"additional","affiliation":[{"name":"Emory University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,10,16]]},"container-title":["Physics in Medicine &amp; Biology"],"original-title":[],"link":[{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb59b","content-type":"text\/html","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb59b\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb59b\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb59b\/pdf","content-type":"application\/pdf","content-version":"am","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T22:54:06Z","timestamp":1792191246000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6560\/aeb59b"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,16]]},"references-count":0,"URL":"https:\/\/doi.org\/10.1088\/1361-6560\/aeb59b","relation":{},"ISSN":["0031-9155","1361-6560"],"issn-type":[{"value":"0031-9155","type":"print"},{"value":"1361-6560","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,16]]}}}