Automatic lung segmentation in CT images with accurate handling of the hilar region.

A fully automated and three-dimensional (3D) segmentation method for the identification of the pulmonary parenchyma in thorax X-ray computed tomography (CT) datasets is proposed. It is meant to be used as pre-processing step in the computer-assisted detection (CAD) system for malignant lung nodule detection that is being developed by the Medical Applications in a Grid Infrastructure Connection (MAGIC-5) Project. In this new approach the segmentation of the external airways (trachea and bronchi), is obtained by 3D region growing with wavefront simulation and suitable stop conditions, thus allowing an accurate handling of the hilar region, notoriously difficult to be segmented.

Primary central nervous system lymphoma: role of DWI in the differential diagnosis.

The case of a female patient admitted to the hospital for a syncopal episode characterized by mental confusion, retrograde amnesia, agnosia, lack of sphincter control and behavior disorders, is presented. Cranial CT showed a frontal bihemispheric lesion. MRI completed with DWI was then performed to better define the nature of the lesion and for an in-depth diagnostic study.