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MR image texture in Parkinson's disease: A longitudinal study

Tutkimustuotosvertaisarvioitu

Standard

MR image texture in Parkinson's disease : A longitudinal study. / Sikiö, Minna; Holli-Helenius, Kirsi K.; Harrison, Lara C V; Ryymin, Pertti; Ruottinen, Hanna; Saunamäki, Tiia; Eskola, Hannu J.; Elovaara, Irina; Dastidar, Prasun.

julkaisussa: Acta Radiologica, Vuosikerta 56, Nro 1, 2015, s. 97-104.

Tutkimustuotosvertaisarvioitu

Harvard

Sikiö, M, Holli-Helenius, KK, Harrison, LCV, Ryymin, P, Ruottinen, H, Saunamäki, T, Eskola, HJ, Elovaara, I & Dastidar, P 2015, 'MR image texture in Parkinson's disease: A longitudinal study', Acta Radiologica, Vuosikerta. 56, Nro 1, Sivut 97-104. https://doi.org/10.1177/0284185113519775

APA

Sikiö, M., Holli-Helenius, K. K., Harrison, L. C. V., Ryymin, P., Ruottinen, H., Saunamäki, T., ... Dastidar, P. (2015). MR image texture in Parkinson's disease: A longitudinal study. Acta Radiologica, 56(1), 97-104. https://doi.org/10.1177/0284185113519775

Vancouver

Sikiö M, Holli-Helenius KK, Harrison LCV, Ryymin P, Ruottinen H, Saunamäki T et al. MR image texture in Parkinson's disease: A longitudinal study. Acta Radiologica. 2015;56(1):97-104. https://doi.org/10.1177/0284185113519775

Author

Sikiö, Minna ; Holli-Helenius, Kirsi K. ; Harrison, Lara C V ; Ryymin, Pertti ; Ruottinen, Hanna ; Saunamäki, Tiia ; Eskola, Hannu J. ; Elovaara, Irina ; Dastidar, Prasun. / MR image texture in Parkinson's disease : A longitudinal study. Julkaisussa: Acta Radiologica. 2015 ; Vuosikerta 56, Nro 1. Sivut 97-104.

Bibtex - Lataa

@article{87bc572cf3d747cdacf4a06f821b58af,
title = "MR image texture in Parkinson's disease: A longitudinal study",
abstract = "Background: Few of the structural changes caused by Parkinson's disease (PD) are visible in magnetic resonance imaging (MRI) with visual inspection but there is a need for a method capable of observing the changes beyond the human eye. Texture analysis offers a technique that enables the quantification of the image gray-level patterns. Purpose: To investigate the value of quantitative image texture analysis method in diagnosis and follow-up of PD patients. Material and Methods: Twenty-six PD patients underwent MRI at baseline and after 2 years of follow-up. Four co-occurrence matrix-based texture parameters, describing the image homogeneity and complexity, were calculated within clinically interesting areas of the brain. In addition, correlations with clinical characteristics (Unified Parkinson's Disease Ranking Scales I-III and Mini-Mental State Examination score) along with a comparison to healthy controls were evaluated. Results: Patients at baseline and healthy volunteers differed in their brain MR image textures mostly in the areas of substantia nigra pars compacta, dentate nucleus, and basilar pons. During the 2-year follow-up of the patients, textural differences appeared mainly in thalamus and corona radiata. Texture parameters in all the above mentioned areas were also found to be significantly related to clinical scores describing the severity of PD. Conclusion: Texture analysis offers a quantitative method for detecting structural changes in brain MR images. However, the protocol and repeatability of the method must be enhanced before possible clinical use.",
keywords = "Follow-up, Image analysis, Magnetic resonance imaging (MRI), Parkinson's disease, Texture analysis",
author = "Minna Siki{\"o} and Holli-Helenius, {Kirsi K.} and Harrison, {Lara C V} and Pertti Ryymin and Hanna Ruottinen and Tiia Saunam{\"a}ki and Eskola, {Hannu J.} and Irina Elovaara and Prasun Dastidar",
note = "Contribution: organisation=elt,FACT1=1<br/>Portfolio EDEND: 2014-08-20<br/>Publisher name: Sage Publications",
year = "2015",
doi = "10.1177/0284185113519775",
language = "English",
volume = "56",
pages = "97--104",
journal = "Acta Radiologica",
issn = "0284-1851",
publisher = "SAGE Publications",
number = "1",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - MR image texture in Parkinson's disease

T2 - A longitudinal study

AU - Sikiö, Minna

AU - Holli-Helenius, Kirsi K.

AU - Harrison, Lara C V

AU - Ryymin, Pertti

AU - Ruottinen, Hanna

AU - Saunamäki, Tiia

AU - Eskola, Hannu J.

AU - Elovaara, Irina

AU - Dastidar, Prasun

N1 - Contribution: organisation=elt,FACT1=1<br/>Portfolio EDEND: 2014-08-20<br/>Publisher name: Sage Publications

PY - 2015

Y1 - 2015

N2 - Background: Few of the structural changes caused by Parkinson's disease (PD) are visible in magnetic resonance imaging (MRI) with visual inspection but there is a need for a method capable of observing the changes beyond the human eye. Texture analysis offers a technique that enables the quantification of the image gray-level patterns. Purpose: To investigate the value of quantitative image texture analysis method in diagnosis and follow-up of PD patients. Material and Methods: Twenty-six PD patients underwent MRI at baseline and after 2 years of follow-up. Four co-occurrence matrix-based texture parameters, describing the image homogeneity and complexity, were calculated within clinically interesting areas of the brain. In addition, correlations with clinical characteristics (Unified Parkinson's Disease Ranking Scales I-III and Mini-Mental State Examination score) along with a comparison to healthy controls were evaluated. Results: Patients at baseline and healthy volunteers differed in their brain MR image textures mostly in the areas of substantia nigra pars compacta, dentate nucleus, and basilar pons. During the 2-year follow-up of the patients, textural differences appeared mainly in thalamus and corona radiata. Texture parameters in all the above mentioned areas were also found to be significantly related to clinical scores describing the severity of PD. Conclusion: Texture analysis offers a quantitative method for detecting structural changes in brain MR images. However, the protocol and repeatability of the method must be enhanced before possible clinical use.

AB - Background: Few of the structural changes caused by Parkinson's disease (PD) are visible in magnetic resonance imaging (MRI) with visual inspection but there is a need for a method capable of observing the changes beyond the human eye. Texture analysis offers a technique that enables the quantification of the image gray-level patterns. Purpose: To investigate the value of quantitative image texture analysis method in diagnosis and follow-up of PD patients. Material and Methods: Twenty-six PD patients underwent MRI at baseline and after 2 years of follow-up. Four co-occurrence matrix-based texture parameters, describing the image homogeneity and complexity, were calculated within clinically interesting areas of the brain. In addition, correlations with clinical characteristics (Unified Parkinson's Disease Ranking Scales I-III and Mini-Mental State Examination score) along with a comparison to healthy controls were evaluated. Results: Patients at baseline and healthy volunteers differed in their brain MR image textures mostly in the areas of substantia nigra pars compacta, dentate nucleus, and basilar pons. During the 2-year follow-up of the patients, textural differences appeared mainly in thalamus and corona radiata. Texture parameters in all the above mentioned areas were also found to be significantly related to clinical scores describing the severity of PD. Conclusion: Texture analysis offers a quantitative method for detecting structural changes in brain MR images. However, the protocol and repeatability of the method must be enhanced before possible clinical use.

KW - Follow-up

KW - Image analysis

KW - Magnetic resonance imaging (MRI)

KW - Parkinson's disease

KW - Texture analysis

UR - http://www.scopus.com/inward/record.url?scp=84925355295&partnerID=8YFLogxK

U2 - 10.1177/0284185113519775

DO - 10.1177/0284185113519775

M3 - Article

VL - 56

SP - 97

EP - 104

JO - Acta Radiologica

JF - Acta Radiologica

SN - 0284-1851

IS - 1

ER -