Evaluation of intracerebral ventricles volume of patients with Parkinson's disease using the atlas-based method: A methodological study

Kocaman, Hikmet; Acer, Niyazi; Köseoğlu, Emel; Gültekın, Murat; Dönmez, Halil

doi:10.1016/j.jchemneu.2019.04.005

Cited by 8 publications

(12 citation statements)

References 42 publications

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“…The shape and size of the ventricles of the four groups of patients can represent the ventricles of the elderly cohort. Kocaman et al (2019) performed a study on a small number of individuals. The actual sample size of our four groups of patients is large, and in clinical practice, these patients are relatively common.…”

Section: Comparison Studies and The Advantages Of Our Proposed Methodsmentioning

confidence: 99%

“…The volume of the ventricle has always been closely related to degenerative brain diseases and traumatic brain injury. Researchers have also described that enlargement of the ventricles is an important characteristic of medical conditions such as schizophrenia, Parkinson's disease, Alzheimer's disease, hydrocephalus, and trauma to the brain (Silbert et al, 2003;Thompson et al, 2004;Chou et al, 2009;Liu et al, 2010;Cavedo et al, 2012;Khan et al, 2012;Anandh et al, 2016;Del et al, 2016;Owen et al, 2018;Kocaman et al, 2019;Lundervold et al, 2019). In some disease diagnosis guidelines, EI > 0.3 is often defined as ventricular enlargement (Relkin et al, 2005;Mori et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…It is realized by segmentation, which can be roughly categorized into automated segmentation and manual segmentation (Huff et al, 2019). The manual segmentation technique is the gold standard for volumetric quantification of regional brain structures (Kocaman et al, 2019), but when dealing with more data, manual segmentation of the ventricles is time-consuming, subjective, and less reproducible (Chou et al, 2008;Liu et al, 2009;Poh et al, 2012). Therefore, it is highly in demand for an automated ventricle segmentation method to be developed and machine and deep learning based methods have emerged as the new era.…”

Section: Introductionmentioning

confidence: 99%

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Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

Zhou

Ye²,

Jiang³

et al. 2020

Front. Aging Neurosci.

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Background and Objective: Ventricle volume is closely related to hydrocephalus, brain atrophy, Alzheimer's, Parkinson's syndrome, and other diseases. To accurately measure the volume of the ventricles for elderly patients, we use deep learning to establish a systematic and comprehensive automated ventricle segmentation framework.Methods: The study participation included 20 normal elderly people, 20 patients with cerebral atrophy, 64 patients with normal pressure hydrocephalus, and 51 patients with acquired hydrocephalus. Second, get their imaging data through the picture archiving and communication systems (PACS) system. Then use ITK software to manually label participants' ventricular structures. Finally, extract imaging features through machine learning.Results: This automated ventricle segmentation method can be applied not only to CT and MRI images but also to images with different scan slice thicknesses. More importantly, it produces excellent segmentation results (Dice > 0.9).Conclusion: This automated ventricle segmentation method has wide applicability and clinical practicability. It can help clinicians find early disease, diagnose disease, understand the patient's disease progression, and evaluate the patient's treatment effect.

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Section: Comparison Studies and The Advantages Of Our Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

Zhou

Ye²,

Jiang³

et al. 2020

Front. Aging Neurosci.

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“…Recently, different techniques have been studied for automatic or semi-automatic of segmentations subcortical structures such as FSL, AFNI [17], BrainVoyager [18], FreeSurfer [19,20], Mristudio [21,22] and SPM [23] software used to analyze the structural features of the human brain. VolBrain is an automated method where the observer can perform fully automatic segmentation using a web-based user.…”

Section: Introductionmentioning

confidence: 99%

Volumetric measurements of the subcortical structures of healthy adult brains in the Turkish population

Soysal

Acer

Özdemir³

et al. 2022

Folia Morphol

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Background:The interest in the morphological development of brain structures during childhood and adolescence arises from discussions on subcortical anomalies and sexual dimorphism, from adolescent changes in cognitive functions supported by cortical and subcortical structures to a wide range of childhood neuropsychiatric diseases. This study aims to investigate the relationships subcortical structures regarding age/gender changes in the healthy adult human brain using web-based VolBrain. Materials and methods:In this study, 303 normal healthy adults [male and female] were obtained using a 1.5 T unit with a 20-channel head coil. Results:The volumes of White Matter, Gray Matter, Total Brain, Cerebrospinal Fluid, and Total Intracranial Volume were significantly higher in males than those in females. Our analysis revealed a significantly larger accumbens volume for females. With age less than or equal to 50 years, older males were found to have higher total LV, putamen, thalamus, amygdala, cerebrum, White Matter and Gray Matter volumes than females. The age greater than the 50-years-old group resulted in a mean of total thalamus, Globus Pallidus and 2 accumbens volumes higher in females than those in males. Right hemisphere volumes in younger and older age groups resulted in volumes except caudate in the older age group; the mean of caudate was significantly higher in females than those in males.Conclusions: These conclusions might have important for the explanation of the effects of gender and age in cross-sectional structural MRI studies. Also, knowing the volume changes of the subcortical structures can provide convenience about the prevention, diagnosis, and treatment of various neuromental disorders.

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“…Using the anatomy and morphological features of the brain, the progression of the diseases was examined and significant studies were conducted (4). Standard brain structures for regional volumetric quantification to be considered in manual segmentation techniques (5,6). Automated measurements to find the volume of various regions in the brain provide more advantages than manual measurements.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Cerebellar Volume in Adult Turkish Male Individuals: Comparison of Three Methods in Magnetic Resonance Imaging

Yılmaz¹

2020

Erciyes Med J

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Objective: Cerebellum plays quite important in our balance by coordinating the control and synergistic movements of the skeletal muscles. There are many studies in which the volume of the cerebellum is measured and different methods are used. Manual measurements are accepted as the gold standard in these studies, but these measurements are not commonly used due to time and difficulty. The present study aims to compare the cerebellum volume using three different methods. Materials and Methods:In this study, MR images of 18 men aged between 22 and 30 years were used in the Department of Radiology of Erciyes University Gevher Nesibe Hospital. In the total cerebellum volume measurements, sagittal images were calculated using the Manual (ImageJ), MRICloud and VolBrain (CERES) methods.Results: Manual and VolBrain measurements were performed to determine the volume of the cerebellum. The total volume of the cerebellum was 136.36±12.36 cm 3 in manual calculation 125.46±17.26 cm 3 in VolBrain and MRICloud1 46.81±20.16. Conclusion:In this study, it was seen that the three methods used to measure the volume of the cerebellum were compatible with each other. Because VolBrain volume values are close to the manual method, cerebellum volumes can be obtained by routinely using them.

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Evaluation of intracerebral ventricles volume of patients with Parkinson's disease using the atlas-based method: A methodological study

Cited by 8 publications

References 42 publications

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

Volumetric measurements of the subcortical structures of healthy adult brains in the Turkish population

Evaluation of Cerebellar Volume in Adult Turkish Male Individuals: Comparison of Three Methods in Magnetic Resonance Imaging

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