Texture analysis of MR image for predicting the firmness of Huanghua pears (Pyrus pyrifolia Nakai, cv. Huanghua) during storage using an artificial neural network

Magnetic Resonance Imaging

Volumn 25, Issue 5, 2007, Pages 727-732

  Zhou, Ran ^a   Li, Yunfei ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Artificial neural network; Firmness; Huanghua pears; Magnetic resonance imaging; Texture analysis

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CORRELATION ANALYSIS; FOOD QUALITY; FOOD STORAGE; FRUIT; IMAGE ANALYSIS; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PEAR; PREDICTION; PRIORITY JOURNAL;

FOOD HANDLING; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PYRUS;

PYRUS; PYRUS PYRIFOLIA;

EID: 34249314038     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2006.09.011     Document Type: Article

References (24)

1. Lin H.T., Xi Y.F., and Chen S.J. Postharvest softening physiological mechanism of Huanghua pear fruit. Sci Agri Sinic 36 3 (2003) 349-352
2. Létal J., Irák D., Šuderlová L., and Hájek M. MRI 'texture' analysis of MR images of apples during ripening and storage. Lebensm-Wiss U-Technol 36 (2003) 719-727
3. Clark C.J., Hockings P.D., Joyce D.C., and Mazucco R.A. Application of magnetic resonance imaging to pre- and post-harvest studies of fruits and vegetables. Postharvest Biol Technol 11 (1997) 1-21
4. Barreiro P., Ruiz-Cabello J., Fernández-Valle M.E., Ortiz C., and Ruiz-Altisent M. Mealiness assessment in apples using MRI techniques. Magn Reson Imaging 17 2 (1999) 275-281
5. Lammertyn J., Dresselaers T., Van Hecke P., Jancsók P., Wevers M., and Nicolai B.M. MRI and X-ray CT study of spatial distribution of core breakdown in 'Conference' pears. Magn Reson Imaging 21 (2003) 805-815
6. Galed G., Fernández-Valle M.E., Martínez A., and Heras A. Application of MRI to monitor the process of ripening and decay in citrus treated with chitosan solutions. Magn Reson Imaging 22 (2004) 127-137
7. Thybo A.K., Jespersen S.N., Lærke P.E., and Stødkilde-Jørgensen H.J. Nondestructive detection of internal bruise and spraing disease symptoms in potatoes using magnetic resonance imaging. Magn Reson Imaging 22 (2004) 1311-1317
8. Chen P., McCarthy M.J., and Kauten R. NMR for internal quality evaluation of fruits and vegetables. T ASAE 32 (1989) 1747-1753
9. Donker H.C.W., and Van As H. Cell water balance of white button mushrooms (Agaricus bisporus) during its post-harvest lifetime studied by quantitative magnetic resonance imaging. Biochim Biophys Acta 1427 (1999) 287-297
10. Zemah H., Bendel P., Rabinowitch H.D., and Kamenetsky R. Visualization of morphological structure and water status during storage of Allium aflatunense bulbs by NMR imaging. Plant Sci 147 (1999) 65-73
11. Andaur J.E., Guesalaga A.R., Agosin E.E., Guarini M.W., and Irarrázaval P. Magnetic resonance imaging for nondestructive analysis of wine grapes. J Agric Food Chem 52 (2004) 165-170
12. Lerski R.A., and Schad L.R. The use of reticulated foam in texture test objects for magnetic resonance imaging. Magn Reson Imaging 16 9 (1998) 1139-1144
13. Lerski R.A., Straughan K., Schad L.R., Boyce D., Blüml S., and Zuna I. MR image texture analysis - an approach to tissue characterization. Magn Reson Imaging 11 (1993) 873-887
14. Therdthai N., and Zhou W.B. Artificial neural network modeling of the electrical conductivity property of recombined milk. J Food Eng 50 (2001) 107-111
15. Izadifar M. Neural network modeling of trans isomer formation and unsaturated fatty acid changes during vegetable oil hydrogenation. J Food Eng 66 (2005) 227-232
16. Rai P., Majumdar G.C., DasGupta S., and De S. Modeling the performance of batch ultrafiltration of synthetic fruit juice and mosambi juice using artificial neural network. J Food Eng 71 (2005) 273-281
17. Szczypiñski PM. MaZda 3.20 (1998-2002). MRI analysis software. Technical University of Lodz, Lodz, Poland.
18. Torrecilla J.S., Otero L., and Sanz P.D. A neural network approach for thermal/pressure food processing. J Food Eng 62 (2004) 89-95
19. Hornik K. Some new results on neural network approximation. Neural Netw 6 (1993) 1069-1072
20. Ruan R., Almaer S., and Zhang J. Prediction of dough rheological properties using neural networks. Cereal Chem 72 3 (1995) 308-311
21. Abdolmaleki P., Mihara F., Masuda K., and Buadu L.D. Neural networks analysis of astrocytic gliomas from MRI appearances. Cancer Lett 118 (1997) 69-78
22. Sablani S.S., and Shayya W.H. Computerization of Stumbo's method of thermal process calculations using neural networks. J Food Eng 47 (2001) 233-240
23. Lohani S., Trivedi P.K., and Nath P. Changes in activities of cell wall hydrolases during ethylene-induced ripening in banana: effect of 1-MCP, ABA and IAA. Postharvest Biol Technol 31 (2004) 119-126
24. Bendel P., Zemah H., Kamenetsky R., Vergeldt F., and Van As H. Magnetization transfer and double-quantum filtered imaging as probes for motional restricted water in tulip bulbs. Magn Reson Imaging 19 (2001) 857-865