MRI ‚texture‘ analysis of MR images of apples during ripening
and storage

J 2003

MRI ‚texture‘ analysis of MR images of apples during ripening and storage

LÉTAL, Jiří a Milan HÁJEK

Základní údaje

Originální název

MRI ‚texture‘ analysis of MR images of apples during ripening and storage

Název česky

MRI texturní analýza MR obrazů jablek během zrání a skladování

Autoři

LÉTAL, Jiří (203 Česká republika) a Milan HÁJEK (203 Česká republika, garant)

Vydání

Lebensm. Wiss. u. Technol. 2003, 0022-1147

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10103 Statistics and probability

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 0.943

Klíčová slova anglicky

magnetic resonance; MRI; texture analysis; apples

Štítky

apples, magnetic resonance, MRI, texture analysis

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 5. 1. 2007 21:34, RNDr. Jiří Létal, Ph.D.

Anotace

ORIG CZ

V originále

Images obtained by Magnetic Resonance Imaging (MRI) of the apple varieties Idared, Redspur and Topaz during ripening and storage were analysed by texture analysis (TA) to determine the correlation between TA parameters and firmness, soluble solids content (SSC) and titratable acids. All varieties differ significantly in SSC, acidity and the firmness of the fruits. Three sagital T2w slices measured at 4.7T (resolution 256x256 pixels) were analyzed numerically using the software MaZda 2.10 and the statistical package S-PLUS 4.5. A significant correlation was found between acidity and TA parameters such as sum average, sum variance and sum entropy. The dynamics of the TA parameters during the periods of maturation and storage were described by polynomial trends. The following distinctive TA parameters were found: skewness and kurtosis (among histogram-based parameters), variance of absolute gradient (among gradient-based parameters), grey level nonuniformity (among run length matrix-based parameters) and especially some co-occurrence matrix-derived parameters such as correlation, sum average, sum variance and sum entropy (within 1-, 3-, and 5-pixel neighbourhoods). TA parameter correlation appears to be a good method for characterising the stages of fruit ripening - moreover, values of this parameters depend on the pixel neighbourhood.

Česky

Využití metod MRI(magnetic resonance imaging) pro sledování změn v MR obraze jablek v závislosti na změně fyzikálně chemických parametrů v průběhu zrání a skladování plodů - včetně frekvenčních charakteristik získaných nedestruktivními metodami. Sledování změn texturních parametrů MR obrazů u jablek, vystavených chladovému stresu a při odlišném způsobu skladování. Hodnocení korelačních vztahů mezi texturními parametry MR obrazů jablek.

Citovat

LÉTAL, Jiří a Milan HÁJEK. MRI ‚texture‘ analysis of MR images of apples during ripening and storage. Lebensm. Wiss. u. Technol. 2003, roč. 2003, č. 36, s. 719-727, 8 s. ISSN 0022-1147.

@article{707717,
   author = {Létal, Jiří and Hájek, Milan},
   article_number = {36},
   keywords = {magnetic resonance; MRI; texture analysis; apples},
   language = {eng},
   issn = {0022-1147},
   journal = {Lebensm. Wiss. u. Technol.},
   title = {MRI ‚texture‘ analysis of MR images of apples during ripening and storage},
   volume = {2003},
   year = {2003}
}

TY  - JOUR
ID  - 707717
AU  - Létal, Jiří - Hájek, Milan
PY  - 2003
TI  - MRI ‚texture‘ analysis of MR images of apples during ripening and storage
JF  - Lebensm. Wiss. u. Technol.
VL  - 2003
IS  - 36
SP  - 719-727
EP  - 719-727
SN  - 00221147
KW  - magnetic resonance
KW  - MRI
KW  - texture analysis
KW  - apples
N2  - Images obtained by Magnetic Resonance Imaging (MRI) of the apple varieties Idared, Redspur and Topaz during ripening and storage were analysed by texture analysis (TA) to determine the correlation between TA parameters and firmness, soluble solids content (SSC) and titratable acids. All varieties differ significantly in SSC, acidity and the firmness of the fruits. Three sagital T2w slices measured at 4.7T (resolution 256x256 pixels) were analyzed numerically using the software MaZda 2.10 and the statistical package S-PLUS 4.5. A significant correlation was found between acidity and TA parameters such as sum average, sum variance and sum entropy. The dynamics of the TA parameters during the periods of maturation and storage were described by polynomial trends. The following distinctive TA parameters were found: skewness and kurtosis (among histogram-based parameters), variance of absolute gradient (among gradient-based parameters), grey level nonuniformity (among run length matrix-based parameters) and especially some co-occurrence matrix-derived parameters such as correlation, sum average, sum variance and sum entropy (within 1-, 3-, and 5-pixel neighbourhoods). TA parameter correlation appears to be a good method for characterising the stages of fruit ripening - moreover, values of this parameters depend on the pixel neighbourhood.
ER  -

LÉTAL, Jiří a Milan HÁJEK. MRI ‚texture‘ analysis of MR images of apples during ripening and storage. \textit{Lebensm. Wiss. u. Technol.}. 2003, roč.~2003, č.~36, s.~719-727, 8 s. ISSN~0022-1147.

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