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The framework includes a small-patch convolutional neural network (SP-CNN) for fine segmentation, a random forest for modeling LSAs, and a screening model for removing wrong branches. The segmentation performance of our SP-CNN was compared to competitive networks. External validation with different resolution was performed on ten patients with aneurysms. Dice similarity coefficient (DSC) and Hausdorff distance (HD) between each network and manual segmentation were calculated. The modeling results of the centerlines, diameters, and lengths of LSAs were compared against manual labeling by four neurologists.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The SP-CNN achieved higher DSC (92.741\u2009\u00b1\u20092.789, mean\u2009\u00b1\u2009standard deviation) and lower HD (0.610\u2009\u00b1\u20090.141\u2009mm) in the segmentation of LSAs. It also outperformed competitive networks in the external validation (DSC 82.6\u2009\u00b1\u20095.5, HD 0.829\u2009\u00b1\u20090.143\u2009mm). The framework <jats:italic>versus<\/jats:italic> manual difference was lower than the manual inter-observer difference for the vessel length of primary branches (median -0.040\u2009mm, interquartile range -0.209 to 0.059\u2009mm) and secondary branches (0.202\u2009mm, 0.016\u20130.537\u2009mm), as well as for the offset of centerlines of primary branches (0.071\u2009mm, 0.065\u20130.078\u2009mm) and secondary branches (0.072, 0.064\u20130.080\u2009mm), with <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001 for all comparisons.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Our framework for LSAs modeling\/quantification demonstrated high reliability and accuracy when compared to manual labeling.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Trial registration<\/jats:title>\n                <jats:p>NCT05902039 (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/clinicaltrials.gov\/study\/NCT05902039?cond=NCT05902039\">https:\/\/clinicaltrials.gov\/study\/NCT05902039?cond=NCT05902039<\/jats:ext-link>).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Relevance statement<\/jats:title>\n                <jats:p>The proposed automatic segmentation and modeling framework offers precise quantification of the morphological parameters of lenticulostriate arteries. This innovative technology streamlines diagnosis and research of cerebral small vessel disease, eliminating the burden of manual labeling, facilitating cohort studies and clinical diagnosis.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Key Points<\/jats:title>\n                <jats:p><jats:list list-type=\"bullet\">\n                  <jats:list-item>\n                    <jats:p>The morphology of LSAs is important in the diagnosis of CSVD but difficult to quantify.<\/jats:p>\n                  <\/jats:list-item>\n                  <jats:list-item>\n                    <jats:p>The proposed algorithm achieved the performance equivalent to manual labeling by neurologists.<\/jats:p>\n                  <\/jats:list-item>\n                  <jats:list-item>\n                    <jats:p>Our method can provide standardized quantitative results, reducing radiologists\u2019 workload in cohort studies.<\/jats:p>\n                  <\/jats:list-item>\n                <\/jats:list><\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Graphical Abstract<\/jats:title>\n                \n              <\/jats:sec>","DOI":"10.1186\/s41747-024-00512-7","type":"journal-article","created":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T09:02:26Z","timestamp":1730797346000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Quantitative modeling of lenticulostriate arteries on 7-T TOF-MRA for cerebral small vessel disease"],"prefix":"10.1186","volume":"8","author":[{"given":"Zhixin","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongbiao","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Ling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinyuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoxia","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Zhuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rong","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9286-8189","authenticated-orcid":false,"given":"Zihao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,5]]},"reference":[{"key":"512_CR1","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1016\/S1474-4422(13)70124-8","volume":"12","author":"JM Wardlaw","year":"2013","unstructured":"Wardlaw JM, Smith EE, Biessels GJ et al (2013) Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. 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Written informed consent was obtained from all the participants before enrollment in the study, registered under the clinical trials ID NCT05902039.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests that could have appeared to influence the work reported in this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"126"}}