The aim of this article is to build trajectories for virtual endoscopy inside 3D medical images,
using the most automatic way. Usually the construction of this trajectory is left to the clinician …

Introduces a refined general definition of a skeleton that is based on a penalized distance
function and that cannot create any of the degenerate cases of the earlier CEASAR (Center …

We present a fast, robust and automatic method for computing centerline paths through
tubular structures for application to virtual endoscopy. The key idea is to utilize a …

In this paper, we introduce a concise and concrete definition of an accurate colon centerline
and provide an efficient automatic means to extract the centerline and its associated …

We introduce the TEASAR algorithm which is a treestructure extraction algorithm delivering
skeletons that are accurate and robust. Volumetric skeletons are needed for accurate …

In this paper, we present a novel framework for computing centerlines for both 2D and 3D
shape analysis. The framework works as follows: an object centerline point is selected …

Virtual colonoscopy (CT colonography) promises to become a primary method for colorectal
cancer screening and return radiologists to a major role in colon cancer prevention. Results …

Representing a 3D shape by a set of 1D curves that are locally symmetric with respect to its
boundary (ie, curve skeletons) is of importance in several machine intelligence tasks. This …

This paper presents a method of characterizing the distribution of colorectal morphometrics.
It uses three-dimensional region growing and topological thinning algorithms to determine …

Electronic colon cleansing (ECC) aims to segment the colon lumen from a patient abdominal
image acquired using an oral contrast agent for colonic material tagging, so that a virtual …