{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T06:16:37Z","timestamp":1777184197210,"version":"3.51.4"},"reference-count":34,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T00:00:00Z","timestamp":1688947200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Retrograde intrarenal surgery (RIRS) is a widely utilized diagnostic and therapeutic tool for multiple upper urinary tract pathologies. The image\u2010guided navigation system can assist the surgeon to perform precise surgery by providing the relative position between the lesion and the instrument after the intraoperative image is registered with the preoperative model. However, due to the structural complexity and diversity of multi\u2010branched organs such as kidneys, bronchi, etc., the consistency of the intensity distribution of virtual and real images will be challenged, which makes the classical pure intensity registration method prone to bias and random results in a wide search domain. In this paper, we propose a structural feature similarity\u2010based method combined with a semantic style transfer network, which significantly improves the registration accuracy when the initial state deviation is obvious. Furthermore, multi\u2010view constraints are introduced to compensate for the collapse of spatial depth information and improve the robustness of the algorithm. Experimental studies were conducted on two models generated from patient data to evaluate the performance of the method and competing algorithms. The proposed method obtains mean target error (mTRE) of 0.971\u00a0\u00b1\u00a00.585\u00a0mm and 1.266\u00a0\u00b1\u00a00.416\u00a0mm respectively, with better accuracy and robustness overall. Experimental results demonstrate that the proposed method has the potential to be applied to RIRS and extended to other organs with similar structures.<\/jats:p>","DOI":"10.1002\/acm2.14084","type":"journal-article","created":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T04:42:47Z","timestamp":1689050567000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A novel intrarenal multimodal 2D\/3D registration algorithm and preliminary phantom study"],"prefix":"10.1002","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5511-8661","authenticated-orcid":false,"given":"Zuoming","family":"Fu","sequence":"first","affiliation":[{"name":"Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyi","family":"Jin","sequence":"additional","affiliation":[{"name":"Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chongan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[{"name":"Hangzhou Xianao Technology Co., Ltd Hangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuesong","family":"Ye","sequence":"additional","affiliation":[{"name":"Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,7,10]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm11195710"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.5152\/tud.2017.03708"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm12082815"},{"key":"e_1_2_9_5_1","volume-title":"Flexible Ureteroscopy","author":"Guohua Zeng XG","year":"2014"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-3465-8_37"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0192597"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/MOU.0000000000000478"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2010.03.005"},{"issue":"1","key":"e_1_2_9_10_1","first-page":"71","article-title":"Medical image registration in image guided surgery: issues, challenges and research opportunities","volume":"38","author":"Alam F","year":"2018","journal-title":"Comput Math Methods Med"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2020.106767"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-bioeng-062117-120917"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.02.012"},{"key":"e_1_2_9_14_1","doi-asserted-by":"crossref","unstructured":"DeligianniF ChungA YangG\u2010Z pq\u2010space based 2D\/3D registration for endoscope tracking.Paper presented at: International Conference on Medical Image Computing and Computer\u2010Assisted Intervention2003.","DOI":"10.1007\/978-3-540-39899-8_39"},{"key":"e_1_2_9_15_1","doi-asserted-by":"crossref","unstructured":"Visentini\u2010ScarzanellaM StoyanovD YangGZ Metric depth recovery from monocular images using Shape\u2010from\u2010Shading and specularities.Paper presented at: IEEE International Conference on Image Processing2013.","DOI":"10.1109\/ICIP.2012.6466786"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2893419"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2955941"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2021.716007"},{"key":"e_1_2_9_19_1","first-page":"1","article-title":"Automatic, global registration in laparoscopic liver surgery","author":"Koo B","year":"2022","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-022-02641-z"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2006.10.010"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2009.06.001"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2307052"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0177886"},{"key":"e_1_2_9_25_1","doi-asserted-by":"crossref","unstructured":"LuoX ZengH\u2010Q DuY\u2010P ChengX Towards multiple instance learning and Hermann Weyl's discrepancy for robust image\u2010guided bronchoscopic intervention.Paper presented at: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2019: 22nd International Conference Shenzhen China October 13\u201317 2019 Proceedings Part V.2019.","DOI":"10.1007\/978-3-030-32254-0_45"},{"key":"e_1_2_9_26_1","doi-asserted-by":"crossref","unstructured":"LuoX Accurate Multiscale Selective Fusion of CT and Video Images for Real\u2010Time Endoscopic Camera 3D Tracking in Robotic Surgery.Paper presented at: ICASSP 2022\u20102022 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP).2022.","DOI":"10.1109\/ICASSP43922.2022.9746458"},{"key":"e_1_2_9_27_1","doi-asserted-by":"crossref","unstructured":"ZhuJ\u2010Y ParkT IsolaP EfrosAA Unpaired image\u2010to\u2010image translation using cycle\u2010consistent adversarial networks.Paper presented at: Proceedings of the IEEE international conference on computer vision2017.","DOI":"10.1109\/ICCV.2017.244"},{"key":"e_1_2_9_28_1","unstructured":"HoffmanJ TzengE ParkT et\u00a0al.Cycada: cycle\u2010consistent adversarial domain adaptation.Paper presented at: International conference on machine learning2018."},{"key":"e_1_2_9_29_1","doi-asserted-by":"crossref","unstructured":"RonnebergerO FischerP BroxT U\u2010net: convolutional networks for biomedical image segmentation.Paper presented at: International Conference on Medical image computing and computer\u2010assisted intervention2015.","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_2_9_30_1","unstructured":"AchantaR ShajiA SmithK LucchiA FuaP S\u00fcsstrunkS.Slic superpixels.2010."},{"key":"e_1_2_9_31_1","doi-asserted-by":"crossref","unstructured":"StornR KJJogoPrice Differential evolution\u2013a simple and efficient heuristic for global optimization over continuous spaces.1997;11(4):341\u2010359.","DOI":"10.1023\/A:1008202821328"},{"key":"e_1_2_9_32_1","doi-asserted-by":"crossref","unstructured":"\u00c1lvarezNA SanchizJM BadenasJ PlaF Casa\u00f1G Contour\u2010based image registration using mutual information.Paper presented at: Iberian Conference on Pattern Recognition and Image Analysis2005.","DOI":"10.1007\/11492429_28"},{"key":"e_1_2_9_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2922931"},{"key":"e_1_2_9_34_1","doi-asserted-by":"crossref","unstructured":"BorjiA Computer Vision and Image Understanding. Pros and cons of gan evaluation measures.2019;179:41\u201065.","DOI":"10.1016\/j.cviu.2018.10.009"},{"key":"e_1_2_9_35_1","doi-asserted-by":"crossref","unstructured":"MagnierB Multimedia Tools and Applications. Edge detection: A review of dissimilarity evaluations and a proposed normalized measure2018;77:9489\u20109533.","DOI":"10.1007\/s11042-017-5127-6"}],"container-title":["Journal of Applied Clinical Medical Physics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/acm2.14084","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T20:46:38Z","timestamp":1692737198000},"score":1,"resource":{"primary":{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/10.1002\/acm2.14084"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,10]]},"references-count":34,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["10.1002\/acm2.14084"],"URL":"https:\/\/doi.org\/10.1002\/acm2.14084","archive":["Portico"],"relation":{},"ISSN":["1526-9914","1526-9914"],"issn-type":[{"value":"1526-9914","type":"print"},{"value":"1526-9914","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,10]]},"assertion":[{"value":"2023-01-31","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-06-05","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-07-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e14084"}}