caa a22 4500 606243348 CHVBK 20210128101324.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s11694-015-9234-7 doi (NATIONALLICENCE)springer-10.1007/s11694-015-9234-7 Development and applicability of an agarose-based tart cherry phantom for computer tomography imaging [Elektronische Daten] [Irwin Donis-González, Daniel Guyer, Ismail Kavdir, Dena Shahriari, Anthony Pease] Computer tomography (CT) imaging is an effective method for in vivo characterization of object internal attributes including fresh agro-food product quality. Limitations to move CT technology forward into the development of an inline system include the lack of standardized tools (phantoms) for image quality analysis, cross-sharing, and consistent evaluation. The objective of this study was to develop a set of agarose phantoms suitable for detection of pit and pit fragments using CT imaging. Efficiently sorting out these undesirable features during handling and processing will be extremely beneficial to the tart cherry industry. These phantoms can be used on several CT devices (including ultra-fast CT systems) to quantify CT performance, reproducibility, and applicability. This article describes how the phantoms were created, using agarose, a broadly available and inexpensive material. Developed phantoms allow for the measurement of CT image parameters that are relevant to detect fresh cherry pits and/or pit fragments and helps in the development of inline CT equipment. Measured phantom CT image parameters include simulated flesh and embeddedpit X-ray CT attenuation properties (HU-values), which are statistically similar (p=0.05) to fresh tart cherries. In addition, using CT images, pit and pit fragment size can be inferred with a high accuracy rate (R=0.99, p value <0.01). Springer Science+Business Media New York, 2015 Nondestructive nationallicence Non-invasive nationallicence CT-image nationallicence Postharvest-quality nationallicence Pit-detection nationallicence Sucrose nationallicence Hydrogel nationallicence 2D : Two-dimensional image nationallicence 3D : Three-dimensional image nationallicence ANOVA : Analysis of variance nationallicence CT : Computed tomography nationallicence DICOM : Digital imaging and communications in medicine nationallicence DM : Digital measurements nationallicence GPU : Graphical processing unit nationallicence GTM : Ground-truth measurements nationallicence HU : Hounsfield units nationallicence kV : Kilovolt nationallicence mA : Milliamperage nationallicence MRI : Magnetic resonance imaging nationallicence PLs : Profile-lines nationallicence px : Pixel nationallicence Donis-González Irwin Department of Biosystems and Agricultural Engineering, Michigan State University, 524 S. Shaw Lane, 48824, East Lansing, MI, USA aut Guyer Daniel Department of Biosystems and Agricultural Engineering, Michigan State University, 524 S. Shaw Lane, 48824, East Lansing, MI, USA aut Kavdir Ismail Department of Agricultural Machinery, College of Agriculture, Çanakkale Onsekiz Mart University, 17020, Çanakkale, Turkey aut Shahriari Dena Department of Materials Science and Engineering, Michigan State University, 2527 Engineering Building, 48824, East Lansing, MI, USA aut Pease Anthony Department of Small Animal Clinical Sciences, D211 Veterinary Medical Center, Michigan State University, 48824, East Lansing, MI, USA aut Journal of Food Measurement and Characterization Springer US; http://www.springer-ny.com 9/3(2015-09-01), 290-298 2193-4126 9:3<290 2015 9 11694 https://doi.org/10.1007/s11694-015-9234-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11694-015-9234-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Donis-González Irwin Department of Biosystems and Agricultural Engineering, Michigan State University, 524 S. Shaw Lane, 48824, East Lansing, MI, USA aut NATIONALLICENCE 700 1- Guyer Daniel Department of Biosystems and Agricultural Engineering, Michigan State University, 524 S. Shaw Lane, 48824, East Lansing, MI, USA aut NATIONALLICENCE 700 1- Kavdir Ismail Department of Agricultural Machinery, College of Agriculture, Çanakkale Onsekiz Mart University, 17020, Çanakkale, Turkey aut NATIONALLICENCE 700 1- Shahriari Dena Department of Materials Science and Engineering, Michigan State University, 2527 Engineering Building, 48824, East Lansing, MI, USA aut NATIONALLICENCE 700 1- Pease Anthony Department of Small Animal Clinical Sciences, D211 Veterinary Medical Center, Michigan State University, 48824, East Lansing, MI, USA aut NATIONALLICENCE 773 0- Journal of Food Measurement and Characterization Springer US; http://www.springer-ny.com 9/3(2015-09-01), 290-298 2193-4126 9:3<290 2015 9 11694