Erratum to “Estimation of the Lateral Ventricles Volumes from a 2D Image and Its Relationship with Cerebrospinal Fluid Flow”
نویسندگان
چکیده
PURPOSE This work suggests a fast estimation method of the lateral ventricles volume from a 2D image and then determines if this volume is correlated with the cerebrospinal fluid flow at the aqueductal and cerebral levels in neurodegenerative diseases. MATERIALS AND METHODS Forty-five elderly patients suffering from Alzheimer's disease (19), normal pressure hydrocephalus (13), and vascular dementia (13) were involved and underwent anatomical and phase contrast MRI scans. Lateral ventricles and stroke volumes were assessed on anatomical and phase contrast scans, respectively. A common reference plane was used to calculate the lateral ventricles' area on 2D images. RESULTS The largest volumes were observed in hydrocephalus patients. The linear regression between volumes and areas was computed, and a strong positive correlation was detected (R² = 0.9). A derived equation was determined to represent the volumes for any given area. On the other hand, no significant correlations were detected between ventricles and stroke volumes (R² ≤ 0.15). CONCLUSION Lateral ventricles volumes are significantly proportional to the 2D reference section area and could be used for patients' follow-up even if 3D images are unavailable. The cerebrospinal fluid fluctuations in brain disorders may depend on many physiological parameters other than the ventricular morphology.
منابع مشابه
Cerebrospinal Pulsation Hydrodynamics in a 2D Simulation of Brain Ventricles
In this article, dynamics of the cerebrospinal fluid (CSF) was studied, using computational fluid dynamics. Using MRI images of two special cases, a 2-dimensional model of the ventricular system was made. CSF velocity and pressure distribution in ventricular system have high importance since the flow pattern of this liquid has an important effect on intracranial pressure, i.e., ICP, which has a...
متن کاملBrain Volume Estimation Enhancement by Morphological Image Processing Tools
Background: Volume estimation of brain is important for many neurological applications. It is necessary in measuring brain growth and changes in brain in normal/abnormal patients. Thus, accurate brain volume measurement is very important. Magnetic resonance imaging (MRI) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. St...
متن کامل2D Computational Fluid Dynamic Modeling of Human Ventricle System Based on Fluid-Solid Interaction and Pulsatile Flow
Many diseases are related to cerebrospinal .uid (CSF) hydrodynamics. Therefore, understanding the hydrodynamics of CSF .ow and intracranial pressure is helpful for obtaining deeper knowledge of pathological processes and providing better treatments. Furthermore, engineering a reliable computational method is promising approach for fabricating in vitro models which is essential for inventing gen...
متن کاملSexual Dimorphism in Volume of the Cerebral Hemispheres and Lateral Ventricles in Schizophrenia Using Magnetic Resonance Imaging
Purpose: This study is designed to determine the sexual dimorphism pattern in volume of the cerebral hemispheres and lateral ventricles in schizophrenia using magnetic resonance imaging (MRI) and to compare it with normal sexual dimorphism pattern in healthy brains. Materials and Methods: This study is performed on 29 healthy volunteers (21 males, 8 females) and 29 patients suffered from schiz...
متن کاملمدلسازی عددی هیپوترمی مغزی با استفاده از سرد کردن مایع مغزی-نخاعی
Background: Brain hypothermia by reducing the temperature of the cerebrospinal fluid is done by a cooling pad in the thoracic region and protect brain from the ischemic injuries. Along with the spinal cord, the brain is an essential partner in the central nervous system, and similarly, it is surrounded and protected from the bony skull and from shock by cerebrospinal fluid. The brain analyzes i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
دوره 2013 شماره
صفحات -
تاریخ انتشار 2013