One of the most common difficulties in neuroanatomy learning is misperception of structure’s spatial position. Three dimensional (3D) reconstruction and modeling is one of the easiest ways of understanding spatial position. 3D reconstruction and modeling from traditional imaging modalities requires too many slices and expensive image display and processing system. Is there any software, which a...

Images generated during the course of patient evaluation and management are an integral part of the medical record and must be retained according to local regulations. Digital Imaging and Communications in Medicine (DICOM) makes it possible for images from many different imaging modalities to be distributed via a standard internet network to distant viewing workstations and a central archive in...

The isocenter of the magnetic gradient fields inside a magnetic resonance imaging scanner is an important parameter in gradient non-linearity distortion correction methods for MR images. Currently there is no established method for estimating the gradient isocenter. All existing correction methods assume that the gradient isocenter coincides with the DICOM coordinate center, which is close but ...

In this paper, the authors describe a methodology to transform programmatically structured reporting (SR) templates defined by the Digital Imaging and Communications for Medicine (DICOM) standard into an XML schema representation. Such schemas can be used in the creation and validation of XML-encoded SR documents that use templates. Templates are a means to put additional constraints on an SR d...

This paper presents the pilot evaluation of a laboratory classroom simulation of radiology networking technology. The simulation focused on educating undergraduate students in applying radiology Picture Archiving and Communication Systems (PACS) in a networked environment, based on the Digital Imaging and Communications in Medicine (DICOM) standard. The laboratory exercise structure enables stu...

This paper describes about the process of recognition and classification of brain images such as normal and abnormal based on PSO-SVM. Image Classification is becoming more important for medical diagnosis process. In medical area especially for diagnosis the abnormality of the patient is classified, which plays a great role for the doctors to diagnosis the patient according to the severeness of...

Kurzfassung. Der Einsatz von Digital Imaging and Communications in Medicine (DICOM) Structured Reporting (SR) ermöglicht einen standardisierten Austausch zwischen dem Picture Archiving and Communication System (PACS) und anderen klinischen Systemkomponenten. Ein strukturiertes Standardformat erlaubt die automatische Interpretation und eine Auswertung mittels Data Mining. Jedoch decken die im DI...

Medical Image Analysis represents a very important step in clinical diagnosis. It provides image segmentation of the Region of Interest (ROI) and the generation of a three-dimensional model, representing the selected object. In this work, was proposed a neural network segmentation based on SelfOrganizing Maps (SOM) and a three-dimensional SOM architecture to create a 3D model, starting from 2D ...