{"title":"Improving automatic contrast agent extraction system using monochromatic CT number.","authors":"Daisuke Kawahara, Shuichi Ozawa, Kazushi Yokomachi, Toru Higaki, Chikako Fujioka, Masayoshi Mori, Yasushi Nagata","doi":"10.1007/s13246-019-00762-5","DOIUrl":null,"url":null,"abstract":"<p><p>In a previous study, a phantom study of a contrast agent extraction system with computed tomography (CT) number and raw-data-based electron density (ED) was described. The current study improved this system with monochromatic CT (mCT) number and evaluated an anthropomorphic phantom for delineation of the contrast-enhanced region. Dual-energy CT images were scanned with a tissue-equivalent phantom and an anthropomorphic phantom with an iodinated contrast agent (1-130 mg/mL). The 40, 70, and 130 keV mCT images were reconstructed with 80 and 135 kV CT images. The contrast agent was separated from other materials using the gradient of the mCT number (GmCT) and the threshold mCT numbers. The system was analyzed using in-house software with Python. The evaluation of the accuracy for the contrast agent extraction was performed by measuring the ratio of the volume (ROV). The mCT number of the contrast agent and bone materials, liver, and muscle in the tissue-equivalent phantom was obviously greater than - 78 HU. The deviation of the mCT numbers between bone materials in tissue-equivalent phantom and the contrast agent were larger than 8 HU. The GmCT was within 4.0 in the tissue-equivalent phantom and more than 6.0 in the contrast agent. The ROV was 0.97-1.00 at more than 1 mg/mL contrast agent. Improved the contrast agent extraction system could be used for a patient's CT image. It could extract the iodinated tumor or lesion automatically. The contrast agent extraction system was improved by the mCT number. It is expected to only extract the contrast-enhanced region automatically.</p>","PeriodicalId":55430,"journal":{"name":"Australasian Physical & Engineering Sciences in Medicine","volume":"42 3","pages":"819-826"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13246-019-00762-5","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Physical & Engineering Sciences in Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13246-019-00762-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/5/20 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 1
Abstract
In a previous study, a phantom study of a contrast agent extraction system with computed tomography (CT) number and raw-data-based electron density (ED) was described. The current study improved this system with monochromatic CT (mCT) number and evaluated an anthropomorphic phantom for delineation of the contrast-enhanced region. Dual-energy CT images were scanned with a tissue-equivalent phantom and an anthropomorphic phantom with an iodinated contrast agent (1-130 mg/mL). The 40, 70, and 130 keV mCT images were reconstructed with 80 and 135 kV CT images. The contrast agent was separated from other materials using the gradient of the mCT number (GmCT) and the threshold mCT numbers. The system was analyzed using in-house software with Python. The evaluation of the accuracy for the contrast agent extraction was performed by measuring the ratio of the volume (ROV). The mCT number of the contrast agent and bone materials, liver, and muscle in the tissue-equivalent phantom was obviously greater than - 78 HU. The deviation of the mCT numbers between bone materials in tissue-equivalent phantom and the contrast agent were larger than 8 HU. The GmCT was within 4.0 in the tissue-equivalent phantom and more than 6.0 in the contrast agent. The ROV was 0.97-1.00 at more than 1 mg/mL contrast agent. Improved the contrast agent extraction system could be used for a patient's CT image. It could extract the iodinated tumor or lesion automatically. The contrast agent extraction system was improved by the mCT number. It is expected to only extract the contrast-enhanced region automatically.
期刊介绍:
Australasian Physical & Engineering Sciences in Medicine (APESM) is a multidisciplinary forum for information and research on the application of physics and engineering to medicine and human physiology. APESM covers a broad range of topics that include but is not limited to:
- Medical physics in radiotherapy
- Medical physics in diagnostic radiology
- Medical physics in nuclear medicine
- Mathematical modelling applied to medicine and human biology
- Clinical biomedical engineering
- Feature extraction, classification of EEG, ECG, EMG, EOG, and other biomedical signals;
- Medical imaging - contributions to new and improved methods;
- Modelling of physiological systems
- Image processing to extract information from images, e.g. fMRI, CT, etc.;
- Biomechanics, especially with applications to orthopaedics.
- Nanotechnology in medicine
APESM offers original reviews, scientific papers, scientific notes, technical papers, educational notes, book reviews and letters to the editor.
APESM is the journal of the Australasian College of Physical Scientists and Engineers in Medicine, and also the official journal of the College of Biomedical Engineers, Engineers Australia and the Asia-Oceania Federation of Organizations for Medical Physics.