Literature DB >> 25848138

A Method to Determine the Density of Foods using X-ray Imaging.

Shivangi Kelkar1, Carol J Boushey2, Martin Okos1.   

Abstract

Density of foods is an important physical property, which depends on structural properties of food. For porous foods such as baked foods, accurate measurement of density is challenging since traditional density measurement techniques are tedious, operator-dependent and incapable of precise volume measurement of foods. To overcome such limitations, a methodology was developed using both digital radiography(DR) and computed tomography(CT) x-ray imaging to directly determine density of foods. Apparent density was determined directly from x-ray linear attenuation coefficients by scanning at 40, 60, 80 kVp on DR and 45, 55, 70 kVp on CT. The apparent density can be directly determined using CT however sample thickness is needed to determine density using DR. No significant difference (p<0.05) was observed between density obtained from traditional methods, with density determined from x-ray linear attenuation coefficients. Density determined on CT for all foods with mean 0.579 g/cm3 had a standard deviation, SD = 0.0367 g/cm3. Density determination using x-ray linear attenuation was found to be a more efficient technique giving results comparable with conventional techniques.

Entities:  

Keywords:  Apparent density; computed tomography; digital radiography; porous foods; x-ray imaging; x-ray linear attenuation coefficient

Year:  2015        PMID: 25848138      PMCID: PMC4384159          DOI: 10.1016/j.jfoodeng.2015.03.012

Source DB:  PubMed          Journal:  J Food Eng        ISSN: 0260-8774            Impact factor:   5.354


  5 in total

1.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions.

Authors:  W Schneider; T Bortfeld; W Schlegel
Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

2.  Study of contrast and modulation mechanisms in X-ray/photon transverse axial transmission tomography.

Authors:  Z H Cho; C M Tsai; G Wilson
Journal:  Phys Med Biol       Date:  1975-11       Impact factor: 3.609

Review 3.  X-ray imaging methods for internal quality evaluation of agricultural produce.

Authors:  Nachiket Kotwaliwale; Karan Singh; Abhimannyu Kalne; Shyam Narayan Jha; Neeraj Seth; Abhijit Kar
Journal:  J Food Sci Technol       Date:  2011-08-13       Impact factor: 2.701

4.  Tissue decomposition from dual energy CT data for MC based dose calculation in particle therapy.

Authors:  Nora Hünemohr; Harald Paganetti; Steffen Greilich; Oliver Jäkel; Joao Seco
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

5.  Three-dimensional pore space quantification of apple tissue using X-ray computed microtomography.

Authors:  Fernando Mendoza; Pieter Verboven; Hibru K Mebatsion; Greet Kerckhofs; Martine Wevers; Bart Nicolaï
Journal:  Planta       Date:  2007-03-15       Impact factor: 4.540

  5 in total
  3 in total

1.  A Mobile Food Record For Integrated Dietary Assessment.

Authors:  Ziad Ahmad; Deborah A Kerr; Marc Bosch; Carol J Boushey; Edward J Delp; Nitin Khanna; Fengqing Zhu
Journal:  MADiMa16 (2016)       Date:  2016-10

2.  Automatic computation of bone defective volume from tomographic images.

Authors:  M Ezzahmouly; A Essakhi; A El Ouahli; H El Byad; M Ed-Dhahraouy; S Hakim; E Gourri; A ELmoutaouakkil; Z Hatim
Journal:  Heliyon       Date:  2022-05-30

3.  An automatic electronic instrument for accurate measurements of food volume and density.

Authors:  Ding Yuan; Xiaohui Hu; Hong Zhang; Wenyan Jia; Zhi-Hong Mao; Mingui Sun
Journal:  Public Health Nutr       Date:  2020-08-28       Impact factor: 4.022

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.