A three-dimensional interactive atlas of cerebral arterial variants.

The knowledge of cerebrovascular variants is essential in education, training, diagnosis and treatment. The current way of presentation of vasculature and, particularly, vascular variants is insufficient. Our purpose is to construct a three-dimensional (3D) interactive atlas of cerebral arterial variants along with exploration tools allowing the investigator just with a few clicks to better and faster understand the variants and their spatial relationships.

Automatic testing and assessment of neuroanatomy using a digital brain atlas: method and development of computer- and mobile-based applications.

Preparation of tests and student's assessment by the instructor are time consuming. We address these two tasks in neuroanatomy education by employing a digital media application with a three-dimensional (3D), interactive, fully segmented, and labeled brain atlas. The anatomical and vascular models in the atlas are linked to Terminologia Anatomica.

Quantification of spatial consistency in the Talairach and Tournoux stereotactic atlas.

Background: The Talairach-Tournoux (TT) atlas is one of the most prevalent brain atlases. Although its spatial inconsistencies were reported earlier, there has been no systematic quantification of them across the entire atlas, which is addressed here.

Method: The consistency of the TT atlas, defined as uniformity of labeling across all three orthogonal atlas orientations, is calculated and presented as maps.

A new presentation and exploration of human cerebral vasculature correlated with surface and sectional neuroanatomy.

The increasing complexity of human body models enabled by advances in diagnostic imaging, computing, and growing knowledge calls for the development of a new generation of systems for intelligent exploration of these models. Here, we introduce a novel paradigm for the exploration of digital body models illustrating cerebral vasculature. It enables dynamic scene compositing, real-time interaction combined with animation, correlation of 3D models with sectional images, quantification as well as 3D manipulation-independent labeling and knowledge-related meta labeling (with name, diameter, description, variants, and references).

Estimation and presentation of blood flow and velocity from angiographic scans in the human cerebral arterial system.

This paper provides an overview of blood flow in the arterial system and aims to estimate the blood velocity from cerebral angiography scans without having acquired data on velocity by using Murray's Law. The estimation technique post-processes the scan and provides crucial 3D visual data for the development of a visualization program of the blood flow in the human brain.