دورية أكاديمية
Simulation-Assisted Augmentation of Missing Wedge and Region-of-Interest Computed Tomography Data
العنوان: | Simulation-Assisted Augmentation of Missing Wedge and Region-of-Interest Computed Tomography Data |
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المؤلفون: | Vladimir O. Alekseychuk, Andreas Kupsch, David Plotzki, Carsten Bellon, Giovanni Bruno |
المصدر: | Journal of Imaging, Vol 10, Iss 1, p 11 (2023) |
بيانات النشر: | MDPI AG, 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Electronic computers. Computer science |
مصطلحات موضوعية: | computed tomography, missing wedge, region of interest, augmented data, CT simulation, aRTist, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95 |
الوصف: | This study reports a strategy to use sophisticated, realistic X-ray Computed Tomography (CT) simulations to reduce Missing Wedge (MW) and Region-of-Interest (RoI) artifacts in FBP (Filtered Back-Projection) reconstructions. A 3D model of the object is used to simulate the projections that include the missing information inside the MW and outside the RoI. Such information augments the experimental projections, thereby drastically improving the reconstruction results. An X-ray CT dataset of a selected object is modified to mimic various degrees of RoI and MW problems. The results are evaluated in comparison to a standard FBP reconstruction of the complete dataset. In all cases, the reconstruction quality is significantly improved. Small inclusions present in the scanned object are better localized and quantified. The proposed method has the potential to improve the results of any CT reconstruction algorithm. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2313-433X |
Relation: | https://www.mdpi.com/2313-433X/10/1/11; https://doaj.org/toc/2313-433X |
DOI: | 10.3390/jimaging10010011 |
URL الوصول: | https://doaj.org/article/2448f780cd8c4a6b9aad0c284f282b63 |
رقم الأكسشن: | edsdoj.2448f780cd8c4a6b9aad0c284f282b63 |
قاعدة البيانات: | Directory of Open Access Journals |
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