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Magnetic resonance imaging (MRI) offers unique advantages for volumetric and repeated imaging due to its non\u2010invasiveness, yet its application to complex multilayer bioprinted constructs has not been systematically assessed using quantitative workflows. In this study, we developed and evaluated an MRI\u2010based pipeline for the longitudinal tracking and quantitative analysis of laser\u2010assisted bioprinted cells within three\u2010dimensional constructs of increasing architectural complexity. Iron oxide\u2013labelled endothelial cells were bioprinted onto gelatin\u2010based biopapers in predefined patterns and assembled into constructs composed of three, six or nine stacked layers. Constructs were monitored at 4.7\u2009T using a high\u2010resolution three\u2010dimensional steady\u2010state free precession sequence for up to 35\u2009days, and quantitative image analysis was independently performed by three operators using the open\u2010source 3D Slicer image computing platform. MRI enabled clear visualisation of printed patterns and multilayer architectures over time due to the signal drop induced by iron oxide particles. Quantitative analysis demonstrated high inter\u2010operator reproducibility and revealed construct thickness\u2013dependent differences in volume and signal\u2010to\u2010noise ratio. As a proof of concept, stacked bioprinted constructs were additionally visualised post\u2010mortem in a murine calvarial defect model, enabling discrimination of individual layers and printed patterns. Together, these results establish MRI as a robust, non\u2010destructive tool for the longitudinal evaluation of complex laser\u2010assisted bioprinted constructs.<\/jats:p>","DOI":"10.1002\/nbm.70396","type":"journal-article","created":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T02:55:15Z","timestamp":1789095315000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Reproducible MRI\u2010Based Pipeline for Longitudinal Tracking of Laser\u2010Assisted Bioprinted Cells in Three\u2010Dimensional Constructs"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2605-5077","authenticated-orcid":false,"given":"Mina","family":"Medojevi\u0107","sequence":"first","affiliation":[{"name":"INSERM, BioTis, Univ. 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Bordeaux, CNRS, Plateforme d'Imagerie Biom\u00e9dicale (pIBio), UAR3767  Bordeaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6512-4934","authenticated-orcid":false,"given":"Aleksandar","family":"Jakovljevi\u0107","sequence":"additional","affiliation":[{"name":"Department of Pathophysiology, School of Dental Medicine University of Belgrade  Belgrade Serbia"},{"name":"Implant\u2010Research Center, School of Dental Medicine University of Belgrade  Belgrade Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3063-1263","authenticated-orcid":false,"given":"Emeline J.","family":"Ribot","sequence":"additional","affiliation":[{"name":"Univ. 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