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Structural imaging methods using MRI are well developed to explore these changes, but functional imaging tools are lacking. Low\u2010field MRI is a promising modality to bridge this gap. The longer intrinsic T<jats:sub>2<\/jats:sub>* values at low field strengths increase the dynamic range and enable the quantification of individual brain regions with low T<jats:sub>2<\/jats:sub>* values, such as deep gray matter. This study investigates regional brain T<jats:sub>2<\/jats:sub>* quantification throughout the second half of gestation on low\u2010field 0.55T MRI.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Dynamic multi\u2010echo gradient\u2010echo sequences were acquired in 135 cases at 0.55\u2009T between 20 and 40\u2009weeks' gestation. Automatic high\u2010resolution reconstruction and segmentation tools were developed, resulting in T<jats:sub>2<\/jats:sub>* values of seven individual anatomical brain structures for each subject. These regional brain T<jats:sub>2<\/jats:sub>* values were analyzed throughout gestation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>All regional fetal brain T<jats:sub>2<\/jats:sub>* values decreased throughout gestation (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). Each anatomical brain structure had varying ranges and decay rates, with the cerebellum and white matter displaying the highest (nonfluid structure) values, with the maximum values between 350 and 400\u2009ms at about 20\u2009weeks. The brainstem and deep gray matter had the lowest range of T<jats:sub>2<\/jats:sub>* values, reaching values of 250\u2009ms early in gestation. The matched volumetric assessment of the different structures demonstrated expected growth, matching current literature.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Low\u2010field MRI allows for a detailed, regional T<jats:sub>2<\/jats:sub>* analysis of the fetal brain, with more inclusive norms to be developed due to its wider bore.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mrm.30409","type":"journal-article","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T13:29:20Z","timestamp":1735651760000},"page":"1942-1953","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["<scp>T<sub>2<\/sub><\/scp>* relaxometry of fetal brain structures using low\u2010field (0.55<scp>T<\/scp>) MRI"],"prefix":"10.1002","volume":"93","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7041-0150","authenticated-orcid":false,"given":"Kelly","family":"Payette","sequence":"first","affiliation":[{"name":"Research Department of Early Life Imaging School of Biomedical Engineering and Imaging Sciences, King's College London  London UK"},{"name":"Biomedical Engineering Department School of Biomedical Engineering and Imaging Sciences, King's College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5796-2145","authenticated-orcid":false,"given":"Alena U.","family":"Uus","sequence":"additional","affiliation":[{"name":"Research Department of Early Life Imaging School of Biomedical Engineering and Imaging Sciences, King's College London  London UK"},{"name":"Biomedical Engineering Department School of Biomedical Engineering and Imaging Sciences, King's College London  London UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ella","family":"Kollstad","sequence":"additional","affiliation":[{"name":"Department of Women &amp; 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