Pearling: 3D interactive extraction of tubular structures from volumetric images
نویسندگان
چکیده
This paper presents Pearling, a novel three-dimensional approach to the interactive segmentation and modeling of tubular structures from a volumetric image. Given a user-supplied initialization, Pearling extracts runs of pearls (balls) from the image, where each pearl is specified by a center position and radius. The runs are combined into a graph, with bifurcations and possibly loops. By treating each pearl’s center and radius parameters as a control point in 4D space, a continuous tubular model is defined via subdivision. We show that Pearling is both computationally efficient and flexible, providing a convenient mechanism for fast, interactive segmentation of a portion of interest in a tubular network.
منابع مشابه
Automatic Centerline Extraction of Irregular Tubular Structures Using Probability Volumes from Multiphoton Imaging
In this paper, we present a general framework for extracting 3D centerlines from volumetric datasets. Unlike the majority of previous approaches, we do not require a prior segmentation of the volume nor we do assume any particular tubular shape. Centerline extraction is performed using a morphology-guided level set model. Our approach consists of: i) learning the structural patterns of a tubula...
متن کاملLiveSync: Smart Linking of 2D and 3D Views in Medical Applications
In this thesis two techniques for the smart linking of 2D and 3D views in medical applications are presented. Although real-time interactive 3D volume visualization is available even for very large data sets, it is used quite rarely in the clinical practice. A major obstacle for a better integration in the clinical workflow is the time-consuming process to adjust the parameters to generate diag...
متن کاملPearling: Medical Image Segmentation with Pearl Strings
This paper introduces a novel segmentation technique, called pearling, for identifying tubular structures in images. Examples of such structures include, but are not limited to, blood vessels, bones, roads, rivers, electrical wirings, and brush-strokes. Pearling allows the user to extract a higher level parametric representation of each tube or of a network of tubes. This representation is comp...
متن کاملA Novel Robust Tube Detection Filter for 3D Centerline Extraction
Centerline extraction of tubular structures such as blood vessels and airways in 3D volume data is of vital interest for applications involving registration, segmentation and surgical planing. In this paper, we propose a robust method for 3D centerline extraction of tubular structures. The method is based on a novel multiscale medialness function and additionally provides an accurate estimate o...
متن کاملTubular Anisotropy Segmentation
In this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 2D and 3D images. The basic tools are minimal paths solved using the fast marching algorithm. This allows interactive tools for the physician by clicking on a small number of points in order to obtain a minimal path between two points or a s...
متن کامل