{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:17:29Z","timestamp":1740122249101,"version":"3.37.3"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T00:00:00Z","timestamp":1667347200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T00:00:00Z","timestamp":1667347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Ministerio de Universidades y la Uni\u00f3n Europea \u2013NextGeneration EU","award":["RR_C_2021_04"],"award-info":[{"award-number":["RR_C_2021_04"]}]},{"name":"Alfonso Martin Escudero"},{"DOI":"10.13039\/501100002996","name":"Dutch Heart Foundation","doi-asserted-by":"crossref","award":["2017T016"],"award-info":[{"award-number":["2017T016"]}],"id":[{"id":"10.13039\/501100002996","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Dutch Society for Diabetes Research","award":["NVDO; Prof. dr. J. Terpstra Award"],"award-info":[{"award-number":["NVDO; Prof. dr. J. Terpstra Award"]}]},{"name":"Dutch Diabetes Foundation","award":["2015.81.1808"],"award-info":[{"award-number":["2015.81.1808"]}]},{"name":"LUMC profile area \u2018biomedical imaging\u2019"},{"name":"The Netherlands Cardiovascular Research Initiative","award":["CVON2014-02 ENERGISE"],"award-info":[{"award-number":["CVON2014-02 ENERGISE"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Infrared thermography (IRT) is widely used to assess skin temperature in response to physiological changes. Yet, it remains challenging to standardize skin temperature measurements over repeated datasets. We developed an open-access semi-automated segmentation tool (the IRT-toolbox) for measuring skin temperatures in the thoracic area to estimate supraclavicular brown adipose tissue (scBAT) activity, and compared it to manual segmentations. The IRT-toolbox, designed in Python, consisted of image pre-alignment and non-rigid image registration. The toolbox was tested using datasets of 10 individuals (BMI\u2009=\u200922.1\u2009\u00b1\u20092.1\u00a0kg\/m<jats:sup>2<\/jats:sup>, age\u2009=\u200922.0\u2009\u00b1\u20093.7\u00a0years) who underwent two cooling procedures, yielding four images per individual. Regions of interest (ROIs) were delineated by two raters in the scBAT and deltoid areas on baseline images. The toolbox enabled direct transfer of baseline ROIs to the registered follow-up images. For comparison, both raters also manually drew ROIs in all follow-up images. Spatial ROI overlap between methods and raters was determined using the Dice coefficient. Mean bias and 95% limits of agreement in mean skin temperature between methods and raters were assessed using Bland\u2013Altman analyses. ROI delineation time was four times faster with the IRT-toolbox (01:04\u00a0min) than with manual delineations (04:12\u00a0min). In both anatomical areas, there was a large variability in ROI placement between methods. Yet, relatively small skin temperature differences were found between methods (scBAT: 0.10\u00a0\u00b0C, 95%LoA[-0.13 to 0.33\u00a0\u00b0C] and deltoid: 0.05\u00a0\u00b0C, 95%LoA[-0.46 to 0.55\u00a0\u00b0C]). The variability in skin temperature between raters was comparable between methods. The IRT-toolbox enables faster ROI delineations, while maintaining inter-user reliability compared to manual delineations. (<jats:italic>Trial registration number (ClinicalTrials.gov)<\/jats:italic>: NCT04406922, [May 29, 2020]).\n<\/jats:p>","DOI":"10.1007\/s10916-022-01871-7","type":"journal-article","created":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T04:18:41Z","timestamp":1667362721000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Infrared Thermography Toolbox: An Open-access Semi-automated Segmentation Tool for Extracting  Skin Temperatures\u00a0in the Thoracic Region including Supraclavicular Brown Adipose Tissue"],"prefix":"10.1007","volume":"46","author":[{"given":"Aashley S. 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Opt."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-022-01871-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10916-022-01871-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-022-01871-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T04:33:37Z","timestamp":1672461217000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10916-022-01871-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,2]]},"references-count":20,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["1871"],"URL":"https:\/\/doi.org\/10.1007\/s10916-022-01871-7","relation":{},"ISSN":["1573-689X"],"issn-type":[{"type":"electronic","value":"1573-689X"}],"subject":[],"published":{"date-parts":[[2022,11,2]]},"assertion":[{"value":"7 April 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 November 2022","order":3,"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 no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}},{"value":"This study was approved by the Medical Ethical Committee of the Leiden University Medical Center and performed in accordance with the principles of the revised Declaration of Helsinki.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"The authors affirm that participants provided informed consent for participation and approved publication of their data and images.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}},{"value":"The authors have no competing interests to declare.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"89"}}