Ian Buchanan, Michela Esposito, Alberto Astolfo, Thomas Partridge, Grammatiki Lioliou, Marco Endrizzi, David Bate, Charlotte Klara Hagen, Alessandro Olivo
{"title":"Fast dual-energy micro-CT with reliable detection of iodine in thin vessels.","authors":"Ian Buchanan, Michela Esposito, Alberto Astolfo, Thomas Partridge, Grammatiki Lioliou, Marco Endrizzi, David Bate, Charlotte Klara Hagen, Alessandro Olivo","doi":"10.1088/2057-1976/addd26","DOIUrl":null,"url":null,"abstract":"<p><p>X-ray micro-computed tomography (µCT) is a widely used imaging modality in preclinical research, with a range of specific applications. Minimising the dose both from X-rays and of administered contrast agents such as iodine is desirable for the improvement of research and subject outcomes. Here, we introduce a new data processing scheme that enables accurate localisation and quantification of iodine concentrations resulting from fast, low dose µCT scans. The technique makes use of characteristic shape detection to selectively decompose dual-energy X-ray µCT data in iodine-containing regions only, thus removing any background iodine signal in the decomposed basis. We demonstrate the technique's effectiveness using scan data acquired over 3.6 seconds and a dose to water of 8.7 mGy where the weakest concentration of iodine successfully isolated was 21 mgI/ml in a 500 µm diameter vessel, and note that this scan speed could be further improved with a detector with a faster framerate. The technique is extended to complex vessel shapes in three dimensions and remains robust. It is expected to be useful in the context of small animal imaging as the low dose requirements increase the repeatability of scans per subject.</p>","PeriodicalId":8896,"journal":{"name":"Biomedical Physics & Engineering Express","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Physics & Engineering Express","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/2057-1976/addd26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
X-ray micro-computed tomography (µCT) is a widely used imaging modality in preclinical research, with a range of specific applications. Minimising the dose both from X-rays and of administered contrast agents such as iodine is desirable for the improvement of research and subject outcomes. Here, we introduce a new data processing scheme that enables accurate localisation and quantification of iodine concentrations resulting from fast, low dose µCT scans. The technique makes use of characteristic shape detection to selectively decompose dual-energy X-ray µCT data in iodine-containing regions only, thus removing any background iodine signal in the decomposed basis. We demonstrate the technique's effectiveness using scan data acquired over 3.6 seconds and a dose to water of 8.7 mGy where the weakest concentration of iodine successfully isolated was 21 mgI/ml in a 500 µm diameter vessel, and note that this scan speed could be further improved with a detector with a faster framerate. The technique is extended to complex vessel shapes in three dimensions and remains robust. It is expected to be useful in the context of small animal imaging as the low dose requirements increase the repeatability of scans per subject.
期刊介绍:
BPEX is an inclusive, international, multidisciplinary journal devoted to publishing new research on any application of physics and/or engineering in medicine and/or biology. Characterized by a broad geographical coverage and a fast-track peer-review process, relevant topics include all aspects of biophysics, medical physics and biomedical engineering. Papers that are almost entirely clinical or biological in their focus are not suitable. The journal has an emphasis on publishing interdisciplinary work and bringing research fields together, encompassing experimental, theoretical and computational work.