{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T09:55:40Z","timestamp":1764323740425,"version":"3.46.0"},"reference-count":33,"publisher":"IOP Publishing","issue":"23","license":[{"start":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T00:00:00Z","timestamp":1764288000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T00:00:00Z","timestamp":1764288000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100002920","name":"Research Grants Council, University Grants Committee","doi-asserted-by":"crossref","award":["ECS24213522GRF14206723GRF17125321GRF17106820"],"award-info":[{"award-number":["ECS24213522GRF14206723GRF17125321GRF17106820"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2025,12,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective.<\/jats:italic>\n                    Four-dimensional diffusion-weighted imaging (4D-DWI) offers enhanced soft-tissue contrast for image-guided radiotherapy (IGRT) compared to conventional 4D-magnetic resonance imaging. However, its clinical application has been hindered by geometric distortion or prolonged acquisition times. This study introduces an improved respiratory-correlated 4D-DWI technique to address these critical limitations.\n                    <jats:italic>Approach.<\/jats:italic>\n                    The proposed 4D-DW-PROP-EPI-JBCR technique consists of four stages: data acquisition, coil sensitivity and phase error maps estimation, retrospective data sorting, and a joint-blade collaborative reconstruction (JBCR) step. We evaluated its performance against the previous 4D-DW-PROPELLER-EPI using both simulations and\n                    <jats:italic>in vivo<\/jats:italic>\n                    experiments. Evaluation metrics included\n                    <jats:italic>k<\/jats:italic>\n                    -space uniformity requirements, point spread function (PSF) quality, minimum required sampling factor (SF), image quality, geometric fidelity, and acquisition time. Image quality was assessed using peak signal-to-noise ratio (PSNR), structural similarity (SSIM), high-frequency error norm (HFEN), and signal-to-noise ratio (SNR); geometric fidelity was evaluated via Dice similarity coefficient (DSC) and Hausdorff distance (HD). Paired\n                    <jats:italic>t<\/jats:italic>\n                    -tests were used for metric comparisons, with statistical significance set at\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.05.\n                    <jats:italic>Main results.<\/jats:italic>\n                    Compared to 4D-DW-PROPELLER-EPI, the proposed 4D-DW-PROP-EPI-JBCR eliminated the requirement for strict\n                    <jats:italic>k<\/jats:italic>\n                    -space uniformity while achieving enhanced PSFs with fewer acquisitions. Additionally, 4D-DW-PROP-EPI-JBCR yielded significant improvements in image quality compared to 4D-DW-PROPELLER-EPI across all key metrics: SSIM (0.83\u20130.92 vs 0.81\u20130.90,\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.05), PSNR (20.56\u201325.20 vs 20.24\u201324.48,\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.05), HFEN (0.49\u20130.678 vs 0.52\u20130.80, P &lt; 0.05), and SNR (31.1\u201332.6 dB vs 28.6\u201329.5 dB,\n                    <jats:italic>P<\/jats:italic>\n                    &lt; 0.05). It also exhibited excellent geometric fidelity, as evidenced by DSC (0.90 \u00b1 0.03) and HD (2.37 \u00b1 1.12). Notably, these performance gains were achieved with an SF of 1.9 per diffusion direction, compared to the SF of 2.4 for 4D-DW-PROPELLER-EPI.\n                    <jats:italic>Significance.<\/jats:italic>\n                    By enabling distortion-free respiratory-correlated 4D-DWI and reducing SF by more than 20% compared to 4D-DW-PROPELLER-EPI, the 4D-DW-PROP-EPI-JBCR technique markedly improves the clinical utility of 4D-DWI for abdominal IGRT.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ae1fce","type":"journal-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T22:51:47Z","timestamp":1763160707000},"page":"235025","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced 4D diffusion-weighted PROPELLER echo-planar imaging with collaborative blade reconstruction"],"prefix":"10.1088","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4698-1580","authenticated-orcid":true,"given":"Lu","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2344-4336","authenticated-orcid":true,"given":"Tian","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3362-7534","authenticated-orcid":true,"given":"Chenyang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4559-5701","authenticated-orcid":true,"given":"Dongrong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6934-0108","authenticated-orcid":true,"given":"Jing","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8634-328X","authenticated-orcid":true,"given":"Hing-Chiu","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2025,11,28]]},"reference":[{"key":"pmbae1fcebib1","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/j.mri.2013.12.001","type":"journal-article","article-title":"Noise estimation in parallel MRI: GRAPPA and SENSE","volume":"32","author":"Aja-Fern\u00e1ndez","year":"2014","journal-title":"Magn. 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Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"value":"2025-05-08","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2025-11-14","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2025-11-28","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}