Tissue sensitive imaging and tomography without contrast agents for small animals with Timepix based detectors

التفاصيل البيبلوغرافية
العنوان: Tissue sensitive imaging and tomography without contrast agents for small animals with Timepix based detectors
المؤلفون: E. Trojanova, L.E.J.R. Schyns, D. Ludwig, J. Jakubek, A. Le Pape, L. Sefc, S. Lotte, V. Sykora, D. Turecek, J. Uher, F. Verhaegen
المساهمون: Promovendi ODB, Radiotherapie, RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy
المصدر: Journal of Instrumentation, 12:01056. IOP Publishing Ltd.
سنة النشر: 2017
مصطلحات موضوعية: medicine.medical_specialty, Materials science, Spectral responses, Radiography, X-ray detector, 01 natural sciences, Particle detector, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Nondestructive testing, Pixelated detectors and associated VLSI electronics, 0103 physical sciences, medicine, Medical physics, 010306 general physics, Instrumentation, Mathematical Physics, business.industry, Detector, Soft tissue, X-ray detectors, Industrial radiography, X-ray radiography and digital radiography (DR), Tomography, business, Biomedical engineering
الوصف: The tissue type resolving X-ray radiography and tomography can be performed even without contrast agents. The differences between soft tissue types such as kidney, muscles, fat, liver, brain and spleen were measured based on their spectral response. The Timepix based X-ray imaging detector WidePIX(2x5) with 300 mu m thick silicon sensors was used for most of the measurements presented in this work. These promising results are used for further optimizations of the detector technology and radiographic methods.
وصف الملف: application/pdf
اللغة: English
تدمد: 1748-0221
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a79d3b8afceeef5493400faf16055588
https://cris.maastrichtuniversity.nl/en/publications/61b964d1-aa29-4cac-b412-7cbebf741510
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....a79d3b8afceeef5493400faf16055588
قاعدة البيانات: OpenAIRE