{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:32:36Z","timestamp":1772119956733,"version":"3.50.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T00:00:00Z","timestamp":1754352000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T00:00:00Z","timestamp":1754352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s11760-025-04586-7","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T00:41:48Z","timestamp":1754354508000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic extraction of liver vessel centerlines and topology guided by multi-scale vascular features"],"prefix":"10.1007","volume":"19","author":[{"given":"Pengjin","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keyuan","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zixuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,5]]},"reference":[{"key":"4586_CR1","doi-asserted-by":"crossref","unstructured":"Bray, F., Laversanne, M., Sung, H., Ferlay, J., Siegel, R.L., Soerjomataram, I., Jemal, A.: Global cancer statistics 2022: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians 74(3), 229\u2013263 (2024)","DOI":"10.3322\/caac.21834"},{"issue":"10","key":"4586_CR2","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.3390\/electronics10101165","volume":"10","author":"S Survarachakan","year":"2021","unstructured":"Survarachakan, S., Pelanis, E., Khan, Z.A., Kumar, R.P., Edwin, B., Lindseth, F.: Effects of enhancement on deep learning based hepatic vessel segmentation. Electronics 10(10), 1165 (2021)","journal-title":"Electronics"},{"key":"4586_CR3","doi-asserted-by":"crossref","unstructured":"Zhao, L., Wang, Z., Dai, K., Qi, Q.: A novel approach for repairing unsegmented liver vascular images based on centerline. In: Proceedings of the 2023 8th International Conference on Biomedical Imaging, Signal Processing. ICBSP \u201923, pp. 32\u201339. Association for Computing Machinery, New York, NY, USA (2024). DOI: https:\/\/doi.org\/10.1145\/3634875.3634880","DOI":"10.1145\/3634875.3634880"},{"issue":"3","key":"4586_CR4","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1159\/000367739","volume":"4","author":"M Tsurusaki","year":"2015","unstructured":"Tsurusaki, M., Murakami, T.: Surgical and locoregional therapy of hcc: Tace. Liver cancer 4(3), 165\u2013175 (2015)","journal-title":"Liver cancer"},{"key":"4586_CR5","doi-asserted-by":"publisher","unstructured":"Laface, C., Laforgia, M., Molinari, P., Ugenti, I., Gadaleta, C.D., Porta, C., Ranieri, G.: Hepatic arterial infusion of chemotherapy for advanced hepatobiliary cancers: State of the art. Cancers 13(12) (2021) https:\/\/doi.org\/10.3390\/cancers13123091","DOI":"10.3390\/cancers13123091"},{"key":"4586_CR6","doi-asserted-by":"publisher","unstructured":"Zeng, Y.-z., Zhao, Y.-q., Liao, S.-h., Liao, M., Chen, Y., Liu, X.-y.: Liver vessel segmentation based on centerline constraint and intensity model. Biomedical Signal Processing and Control 45, 192\u2013201 (2018) https:\/\/doi.org\/10.1016\/j.bspc.2018.05.035","DOI":"10.1016\/j.bspc.2018.05.035"},{"key":"4586_CR7","doi-asserted-by":"publisher","unstructured":"Ciecholewski, M., Kassjanski, M.: Computational methods for liver vessel segmentation in medical imaging: A review. Sensors 21(6) (2021) https:\/\/doi.org\/10.3390\/s21062027","DOI":"10.3390\/s21062027"},{"key":"4586_CR8","doi-asserted-by":"publisher","unstructured":"Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Frangi, pp. 130\u2013137 (1998). https:\/\/doi.org\/10.1007\/bfb0056195 . http:\/\/dx.doi.org\/10.1007\/bfb0056195","DOI":"10.1007\/bfb0056195"},{"issue":"2","key":"4586_CR9","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/S1361-8415(98)80009-1","volume":"2","author":"Y Sato","year":"1998","unstructured":"Sato, Y., Nakajima, S., Shiraga, N., Atsumi, H., Yoshida, S., Koller, T., Gerig, G., Kikinis, R.: Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Med. Image Anal. 2(2), 143\u2013168 (1998). https:\/\/doi.org\/10.1016\/S1361-8415(98)80009-1","journal-title":"Med. Image Anal."},{"key":"4586_CR10","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.592352","volume":"14","author":"G Tetteh","year":"2020","unstructured":"Tetteh, G., Efremov, V., Forkert, N.D., Schneider, M., Kirschke, J., Weber, B., Zimmer, C., Piraud, M., Menze, B.H.: Deepvesselnet: Vessel segmentation, centerline prediction, and bifurcation detection in 3-d angiographic volumes. Front. Neurosci. 14, 592352 (2020)","journal-title":"Front. Neurosci."},{"issue":"12","key":"4586_CR11","doi-asserted-by":"publisher","first-page":"268","DOI":"10.3390\/jimaging9120268","volume":"9","author":"R Silva","year":"2023","unstructured":"Silva, R., Soltanzadeh, R., Figley, C.R.: Automated coronary artery tracking with a voronoi-based 3d centerline extraction algorithm. Journal of Imaging 9(12), 268 (2023)","journal-title":"Journal of Imaging"},{"key":"4586_CR12","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.media.2018.10.005","volume":"51","author":"JM Wolterink","year":"2019","unstructured":"Wolterink, J.M., Hamersvelt, R.W., Viergever, M.A., Leiner, T., I\u0161gum, I.: Coronary artery centerline extraction in cardiac ct angiography using a cnn-based orientation classifier. Med. Image Anal. 51, 46\u201360 (2019)","journal-title":"Med. Image Anal."},{"key":"4586_CR13","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1007\/s10554-011-9894-2","volume":"28","author":"G Yang","year":"2012","unstructured":"Yang, G., Kitslaar, P., Frenay, M., Broersen, A., Boogers, M.J., Bax, J.J., Reiber, J.H., Dijkstra, J.: Automatic centerline extraction of coronary arteries in coronary computed tomographic angiography. Int. J. Cardiovasc. Imaging 28, 921\u2013933 (2012)","journal-title":"Int. J. Cardiovasc. Imaging"},{"key":"4586_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.bspc.2014.09.015","volume":"16","author":"Z Li","year":"2015","unstructured":"Li, Z., Zhang, Y., Liu, G., Shao, H., Li, W., Tang, X.: A robust coronary artery identification and centerline extraction method in angiographies. Biomed. Signal Process. Control 16, 1\u20138 (2015)","journal-title":"Biomed. Signal Process. Control"},{"issue":"12","key":"4586_CR15","doi-asserted-by":"publisher","first-page":"5568","DOI":"10.1118\/1.3254077","volume":"36","author":"C Metz","year":"2009","unstructured":"Metz, C., Schaap, M., Weustink, A., Mollet, N., Walsum, T., Niessen, W.: Coronary centerline extraction from ct coronary angiography images using a minimum cost path approach. Med. Phys. 36(12), 5568\u20135579 (2009)","journal-title":"Med. Phys."},{"key":"4586_CR16","doi-asserted-by":"crossref","unstructured":"Erdt, M., Raspe, M., Suehling, M.: Automatic hepatic vessel segmentation using graphics hardware. In: Medical Imaging and Augmented Reality: 4th International Workshop Tokyo, Japan, August 1-2, 2008 Proceedings 4, pp. 403\u2013412. Springer (2008)","DOI":"10.1007\/978-3-540-79982-5_44"},{"issue":"6","key":"4586_CR17","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1109\/TVCG.2015.2446493","volume":"22","author":"T Jerman","year":"2015","unstructured":"Jerman, T., Pernu\u0161, F., Likar, B., \u0160piclin, \u017d: Blob enhancement and visualization for improved intracranial aneurysm detection. IEEE Trans. Visual Comput. Graphics 22(6), 1705\u20131717 (2015)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"issue":"12","key":"4586_CR18","doi-asserted-by":"publisher","first-page":"3649","DOI":"10.1109\/TMI.2022.3192679","volume":"41","author":"J Lamy","year":"2022","unstructured":"Lamy, J., Merveille, O., Kerautret, B., Passat, N.: A benchmark framework for multiregion analysis of vesselness filters. IEEE Trans. Med. Imaging 41(12), 3649\u20133662 (2022)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"12","key":"4586_CR19","doi-asserted-by":"publisher","first-page":"4567","DOI":"10.1118\/1.2804558","volume":"34","author":"C Zhou","year":"2007","unstructured":"Zhou, C., Chan, H.-P., Sahiner, B., Hadjiiski, L.M., Chughtai, A., Patel, S., Wei, J., Ge, J., Cascade, P.N., Kazerooni, E.A.: Automatic multiscale enhancement and segmentation of pulmonary vessels in ct pulmonary angiography images for cad applications. Med. Phys. 34(12), 4567\u20134577 (2007)","journal-title":"Med. Phys."},{"key":"4586_CR20","doi-asserted-by":"crossref","unstructured":"Zhou, S., Chen, W., Zhang, Z., Yang, J.: Automatic segmentation of coronary angiograms based on probabilistic tracking. In: 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, pp. 1\u20134. IEEE (2009)","DOI":"10.1109\/ICBBE.2009.5162430"},{"key":"4586_CR21","doi-asserted-by":"crossref","unstructured":"Kumar, R.P., Albregtsen, F., Reimers, M., Lang\u00f8, T., Edwin, B., Elle, O.J.: 3d multiscale vessel enhancement based centerline extraction of blood vessels. In: Medical Imaging 2013: Image Processing, vol. 8669, pp. 516\u2013524. SPIE (2013)","DOI":"10.1117\/12.2006779"},{"key":"4586_CR22","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.compmedimag.2015.12.004","volume":"48","author":"A Kerkeni","year":"2016","unstructured":"Kerkeni, A., Benabdallah, A., Manzanera, A., Bedoui, M.H.: A coronary artery segmentation method based on multiscale analysis and region growing. Comput. Med. Imaging Graph. 48, 49\u201361 (2016)","journal-title":"Comput. Med. Imaging Graph."},{"issue":"1","key":"4586_CR23","first-page":"3859386","volume":"2021","author":"S Qiu","year":"2021","unstructured":"Qiu, S., Lian, J., Ding, Y., Zhou, T., Liang, T.: Algorithm of pulmonary vascular segment and centerline extraction. Comput. Math. Methods Med. 2021(1), 3859386 (2021)","journal-title":"Comput. Math. Methods Med."},{"key":"4586_CR24","doi-asserted-by":"crossref","unstructured":"Kumar, R.P., Albregtsen, F., Reimers, M., Edwin, B., Lang\u00f8, T., Elle, O.J.: Blood vessel segmentation and centerline tracking using local structure analysis. In: 6th European Conference of the International Federation for Medical and Biological Engineering: MBEC 2014, 7-11 September 2014, Dubrovnik, Croatia, pp. 122\u2013125. Springer (2015)","DOI":"10.1007\/978-3-319-11128-5_31"},{"key":"4586_CR25","doi-asserted-by":"crossref","unstructured":"Kerrien, E., Yureidini, A., Dequidt, J., Duriez, C., Anxionnat, R., Cotin, S.: Blood vessel modeling for interactive simulation of interventional neuroradiology procedures. Med. Image Anal. 35, 685\u2013698 (2017)","DOI":"10.1016\/j.media.2016.10.003"},{"key":"4586_CR26","doi-asserted-by":"crossref","unstructured":"Salahuddin, Z., Lenga, M., Nickisch, H.: Multi-resolution 3d convolutional neural networks for automatic coronary centerline extraction in cardiac ct angiography scans. In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 91\u201395. IEEE (2021)","DOI":"10.1109\/ISBI48211.2021.9434002"},{"issue":"1","key":"4586_CR27","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.media.2015.03.008","volume":"25","author":"M Rempfler","year":"2015","unstructured":"Rempfler, M., Schneider, M., Ielacqua, G.D., Xiao, X., Stock, S.R., Klohs, J., Sz\u00e9kely, G., Andres, B., Menze, B.H.: Reconstructing cerebrovascular networks under local physiological constraints by integer programming. Med. Image Anal. 25(1), 86\u201394 (2015)","journal-title":"Med. Image Anal."},{"key":"4586_CR28","unstructured":"You, C.: Research on vessel centerline extraction and visual diagnosis of medical imaging based on deep reinforcement learning. Master\u2019s thesis, Southeast University (2022)"},{"key":"4586_CR29","doi-asserted-by":"crossref","unstructured":"Miyagawa, M., Costa, M.G.F., Gutierrez, M.A., Costa, J.P.G.F., Costa\u00a0Filho, C.F.F.: Detecting vascular bifurcation in ivoct images using convolutional neural networks with transfer learning. Ieee Access 7, 66167\u201366175 (2019)","DOI":"10.1109\/ACCESS.2019.2918017"},{"issue":"9","key":"4586_CR30","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","volume":"30","author":"A Fedorov","year":"2012","unstructured":"Fedorov, A., Beichel, R., Kalpathy-Cramer, J., Finet, J., Fillion-Robin, J.-C., Pujol, S., Bauer, C., Jennings, D., Fennessy, F., Sonka, M., et al.: 3d slicer as an image computing platform for the quantitative imaging network. Magn. Reson. Imaging 30(9), 1323\u20131341 (2012)","journal-title":"Magn. Reson. Imaging"},{"key":"4586_CR31","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1007\/s11517-008-0420-1","volume":"46","author":"L Antiga","year":"2008","unstructured":"Antiga, L., Piccinelli, M., Botti, L., Ene-Iordache, B., Remuzzi, A., Steinman, D.A.: An image-based modeling framework for patient-specific computational hemodynamics. Medical & biological engineering & computing 46, 1097\u20131112 (2008)","journal-title":"Medical & biological engineering & computing"},{"issue":"5","key":"4586_CR32","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1016\/j.media.2009.06.003","volume":"13","author":"M Schaap","year":"2009","unstructured":"Schaap, M., Metz, C.T., Walsum, T., Giessen, A.G., Weustink, A.C., Mollet, N.R., Bauer, C., Bogunovi\u0107, H., Castro, C., Deng, X., et al.: Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. Med. Image Anal. 13(5), 701\u2013714 (2009)","journal-title":"Med. Image Anal."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04586-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-04586-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04586-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T13:14:59Z","timestamp":1758546899000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-04586-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,5]]},"references-count":32,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["4586"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-04586-7","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-6476894\/v1","asserted-by":"object"}]},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,5]]},"assertion":[{"value":"18 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 July 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"value":"This study was approved by the Ethics Committee of [University Name], and all participants provided informed consent.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"All authors have read and approved the final manuscript and consent to its publication.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"The materials used in this study are available from the corresponding author upon reasonable request.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Materials Availability"}}],"article-number":"959"}}