Publications by authors named "Hannu J Eskola"
Background And Purpose: Diffusion tensor imaging (DTI) is shown to reveal changes caused by cerebral infarction. The aim of this study is to reveal those changes also in the conventional magnetic resonance (MR) images using a quantitative image analysis method, texture analysis (TA).
Methods: Thirty patients who had suffered their first ever infarction located on the right hemisphere underwent DTI and conventional MRI studies in the chronic phase.
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.
Influence of exercise loading on magnetic resonance image texture of thigh soft tissues.
Clin Physiol Funct Imaging
September 2014
Article Synopsis
- The study examined how different types of exercise affect the structure of thigh soft tissues in female athletes compared to non-athletes.
- Ninety female athletes from five sport categories and 20 non-athletes underwent magnetic resonance imaging to analyze muscle, fat, and bone marrow textures.
- Results showed that high-impact and odd-impact athletes had distinct muscle textures, while variations in fat and bone marrow textures were also observed depending on the exercise type, indicating that exercise loading influences tissue structure.
Article Synopsis
- The study evaluates how co-occurrence matrix-based texture parameters in MRI can identify differences in exercise load-related trabecular bone texture at the femoral neck in female athletes.
- A sample of 91 top-level female athletes from various sports and 20 non-athletic participants underwent MRI scans, focusing on the femoral neck's trabecular bone in four anatomical regions.
- Results indicate significant differences in bone texture, especially in the superior femoral neck, between athletes engaged in high-impact or high-magnitude sports and the non-athletic group, highlighting the effectiveness of MRI texture analysis for assessing structural changes related to exercise.
Rationale And Objectives: Early-stage diagnosis of Parkinson's disease (PD) is essential in making decisions related to treatment and prognosis. However, there is no specific diagnostic test for the diagnosis of PD. The aim of this study was to evaluate the role of texture analysis (TA) of magnetic resonance images in detecting subtle changes between the hemispheres in various brain structures in patients with early symptoms of parkinsonism.
View Article and Find Full Text PDFBackground: The accuracy of texture analysis in clinical evaluation of magnetic resonance images depends considerably on imaging arrangements and various image quality parameters. In this paper, we study the effect of slice thickness on brain tissue texture analysis using a statistical approach and classification of T1-weighted images of clinically confirmed multiple sclerosis patients.
Methods: We averaged the intensities of three consecutive 1-mm slices to simulate 3-mm slices.
Rationale And Objectives: Magnetic resonance imaging (MRI)-based texture analysis has been shown to be effective in classifying multiple sclerosis lesions. Regarding the clinical use of texture analysis in multiple sclerosis, our intention was to show which parts of the analysis are sensitive to slight changes in textural data acquisition and which steps tolerate interference.
Materials And Methods: The MRI datasets of 38 multiple sclerosis patients were used in this study.
Background: To show magnetic resonance imaging (MRI) texture appearance change in non-Hodgkin lymphoma (NHL) during treatment with response controlled by quantitative volume analysis.
Methods: A total of 19 patients having NHL with an evaluable lymphoma lesion were scanned at three imaging timepoints with 1.5T device during clinical treatment evaluation.