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The brain shape is deformed regionally by kinds of cerebral diseases and the degree of progress. Therefore quantitative evaluation of the deformation using MR images is effective for diagnosis of cerebral diseases. To evaluate the cerebral deformation, almost conventional methods are based on normalization of the brain shape which deforms the evaluating brain into the standardized brain. Because the...
Cerebral surface extraction plays a fundamental role of computer aided diagnosis (CAD) for neonatal brain magnetic resonance (MR) images. However, cerebral sulci of the neonatal brains is complexity folded, and it is difficult to extract complete cerebral contour from MR images due to the limitation of spatial resolution and partial volume effect (PVE). This paper proposes a novel method to extract...
Computer aided diagnosis (CAD) system is an effective system of systems engineering (SoSE) in the medical field. The CAD system using medical images is constructed by integrating medical image acquisition system, medical image processing system, and clinical data analysis system, and it presents both of quantitative and qualitative data for physicians. This article proposes a CAD system for diagnosing...
Automated stripping of skulls from infantile brain MR images is the fundamental work to visualize cerebral surface and to measure cerebral volumes. They are important to evaluate cerebral diseases because most cerebral diseases cause morphometric changes in cerebrum. This study proposes a novel image segmentation method based on fuzzy rule-based active surface model. The proposed method was validated...
Rupture of anterior cruciate ligament (ACL) is a serious problem which causes in functional stability of the knee joint. To restore the knee injury, surgical operations, which replace the damaged ACL, have been applied. After ACL reconstruction, it is important to numerically evaluate the knee kinematics to diagnose the ACL reconstruction patients and to evaluate ACL reconstruction operation techniques...
It is known that Hypoxic ischemic encephalopathy of the neonate decreases the cerebral volume. And, the volume decrement occurs at the different rate on each gyrus. Therefore, it is helpful for diagnosing such symptoms to segment the cerebral region from neonatal MR images and measure the volume of each gyms. Many conventional methods for segmenting brain region from adult brain MR images have been...
Volume visualization of cerebral blood vessels is highly significant for diagnosis of the cerebral diseases. It is because the automated segmentation of the blood vessels from an MR angiography (MRA) image is a knotty problem that there are few works on it. This paper proposes an automated method to segment the blood vessels from 3D time of flight (TOF) MRA volume data. The method consists of: (1)...
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