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As a result, dual\u2010energy applications are currently only available within the small FOM, limiting their use for larger patients. To derive a reconstruction at B's energy for the entire patient cross\u2010section, we propose a deep learning\u2010based iterative reconstruction. Starting with A's reconstruction as initial estimate, it employs a neural network in each iteration to refine the current estimate according to a raw data fidelity measure. Here, the corresponding mapping is trained using simulated chest, abdomen, and pelvis scans based on a data set containing 70 full body CT scans. Finally, the proposed approach is tested on simulated and measured dual\u2010source dual\u2010energy scans and compared against existing reference\u00a0approaches.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>For all test cases, the proposed approach was able to provide artifact\u2010free CT reconstructions of B for the entire patient cross\u2010section. Considering simulated data, the remaining error of the reconstructions is between 10 and 17\u00a0HU on average, which is about half as low as the reference approaches. A similar performance with an average error of 8\u00a0HU could be achieved for real phantom\u00a0measurements.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The proposed approach is able to recover missing dual\u2010energy information for patients exceeding the small 35\u00a0cm FOM of dual\u2010source CT systems. Therefore, it potentially allows to extend dual\u2010energy applications to the entire\u2010patient cross\u00a0section.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.16684","type":"journal-article","created":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T18:12:45Z","timestamp":1693505565000},"page":"1822-1831","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Raw data consistent deep learning\u2010based field of view extension for dual\u2010source dual\u2010energy CT"],"prefix":"10.1002","volume":"51","author":[{"given":"Joscha","family":"Maier","sequence":"first","affiliation":[{"name":"German Cancer Research Center (DKFZ) Heidelberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Erath","sequence":"additional","affiliation":[{"name":"German Cancer Research Center (DKFZ) Heidelberg Germany"},{"name":"Heidelberg University Heidelberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Sawall","sequence":"additional","affiliation":[{"name":"German Cancer Research Center (DKFZ) Heidelberg Germany"},{"name":"Heidelberg University Heidelberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Fourni\u00e9","sequence":"additional","affiliation":[{"name":"Siemens Healthineers Forchheim Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karl","family":"Stierstorfer","sequence":"additional","affiliation":[{"name":"Siemens Healthineers Forchheim Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Kachelrie\u00df","sequence":"additional","affiliation":[{"name":"German Cancer Research Center (DKFZ) Heidelberg Germany"},{"name":"Heidelberg University Heidelberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,8,31]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-006-0517-6"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-009-1358-x"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.2217\/ijr.11.71"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0b013e318157a144"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2016.06.010"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2017.18.3.476"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10140-017-1558-7"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-015-3627-1"},{"key":"e_1_2_8_10_1","doi-asserted-by":"crossref","unstructured":"CarmiR NavehG AltmanA.Material separation with dual\u2010layer CT. 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