ABSTRACT
Cerebrospinal fluid imaging plays a significant role in the clinical diagnosis of brain disorders, such as hydrocephalus and Alzheimer's disease. While three-dimensional images of cerebrospinal fluid are very detailed, the complex structures they contain can be time-consuming and laborious to interpret. This paper presents a simple technique that represents the intracranial cerebrospinal fluid distribution as a two-dimensional image in such a way that the total fluid volume is preserved. We call this a volumetric relief map, and show its effectiveness in a characterization and analysis of fluid distributions and networks in hydrocephalus patients and healthy adults.
Subject(s)
Brain/pathology , Cerebrospinal Fluid/cytology , Hydrocephalus/cerebrospinal fluid , Hydrocephalus/pathology , Imaging, Three-Dimensional/methods , Magnetic Resonance Imaging/methods , Adolescent , Adult , Aged , Aged, 80 and over , Algorithms , Humans , Image Interpretation, Computer-Assisted/methods , Middle Aged , Reproducibility of Results , Rheology/methods , Sensitivity and Specificity , Young AdultABSTRACT
We provide conditions under which 2D digital images preserve their topological properties under rigid transformations. We consider the two most common digital topology models, namely dual adjacency and well-composedness. This paper leads to the proposal of optimal preprocessing strategies that ensure the topological invariance of images under arbitrary rigid transformations. These results and methods are proved to be valid for various kinds of images (binary, gray-level, label), thus providing generic and efficient tools, which can be used in particular in the context of image registration and warping.
