scholarly journals An implementation of the minimization of region-scalable fitting energy levelsets

2012 ◽  
Author(s):  
Hui Tang ◽  
Reinhard Hameeteman ◽  
Arnaud Gelas ◽  
Theo van Walsum
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Medical Images ◽  
Segmentation Method ◽  
Resonance Imaging ◽  
Constant Intensity ◽  
Novel Method

Intensity inhomogeneities often occur in medical images, especially when using magnetic resonance imaging. In these images, the standard Chan-and-Vese levelset segmentation method may not work properly, as it assumes constant intensity distributions for foreground and background. Recently, a novel method was published that models the intensities as piece-wise smooth, and thus is more suitable to segment images with intensity homogeneities. However, this method was not yet implemented in ITK. This submission introduces our implementation of the region-scalable-fitting levelset segmentation method within the ITKv4 levelset framework.

scholarly journals Prefrontal and hippocampal atrophy using 7-tesla magnetic resonance imaging in patients with Parkinson’s disease

2021 ◽  
Vol 10 (2) ◽  
pp. 205846012098809
Author(s):  
Byeong H Oh ◽  
Hyeong C Moon ◽  
Aryun Kim ◽  
Hyeon J Kim ◽  
Chae J Cheong ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Resonance ◽  
7 Tesla ◽  
Cortical Atrophy ◽  
Automated Segmentation ◽  
Healthy Controls ◽  
Segmentation Method ◽  
Resonance Imaging

Background The pathology of Parkinson’s disease leads to morphological changes in brain structure. Currently, the progressive changes in gray matter volume that occur with time and are specific to patients with Parkinson’s disease, compared to healthy controls, remain unclear. High-tesla magnetic resonance imaging might be useful in differentiating neurological disorders by brain cortical changes. Purpose We aimed to investigate patterns in gray matter changes in patients with Parkinson’s disease by using an automated segmentation method with 7-tesla magnetic resonance imaging. Material and Methods High-resolution T1-weighted 7 tesla magnetic resonance imaging volumes of 24 hemispheres were acquired from 12 Parkinson’s disease patients and 12 age- and sex-matched healthy controls with median ages of 64.5 (range, 41–82) years and 60.5 (range, 25–74) years, respectively. Subgroup analysis was performed according to whether axial motor symptoms were present in the Parkinson’s disease patients. Cortical volume, cortical thickness, and subcortical volume were measured using a high-resolution image processing technique based on the Desikan-Killiany-Tourville atlas and an automated segmentation method (FreeSurfer version 6.0). Results After cortical reconstruction, in 7 tesla magnetic resonance imaging volume segmental analysis, compared with the healthy controls, the Parkinson’s disease patients showed global cortical atrophy, mostly in the prefrontal area (rostral middle frontal, superior frontal, inferior parietal lobule, medial orbitofrontal, rostral anterior cingulate area), and subcortical volume atrophy in limbic/paralimbic areas (fusiform, hippocampus, amygdala). Conclusion We first demonstrated that 7 tesla magnetic resonance imaging detects structural abnormalities in Parkinson’s disease patients compared to healthy controls using an automated segmentation method. Compared with the healthy controls, the Parkinson’s disease patients showed global prefrontal cortical atrophy and hippocampal area atrophy.

scholarly journals Qualitative skeletal muscle analysis predicts survival in patients with pancreatic cancer undergoing surgery: A novel method using magnetic resonance imaging

HPB ◽  
2016 ◽  
Vol 18 ◽  
pp. e152-e153
Author(s):  
D.P.J. van Dijk ◽  
S. Sanduleanu ◽  
F.C.H. Bakers ◽  
S.S. Rensen ◽  
C.H.C. Dejong ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Skeletal Muscle ◽  
Pancreatic Cancer ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Novel Method

Using Tomographic Medical Images as Objects of Portrait Examination

2019 ◽  
pp. 142-145
Author(s):  
G. V. Cherepenko
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Medical Images ◽  
Resonance Imaging ◽  
Examination Technique ◽  
Magnetic Resonance Imaging Mri ◽  
Practical Recommendations ◽  
Mri Image ◽  
Expert Practice

The paper provides an example from expert practice, during which a head image obtained using magnetic resonance imaging (MRI) was used as a sample. It is proposed to include an MRI image in a number of objects and samples considered by the current portrait examination technique. The nature of the suitability of such an object for the production of portrait examination is determined. Practical recommendations are given for working with the appropriate software to get the most visual picture.

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