Computed Tomography (CT) allows un-occluded three-dimensional views of the interior of scanned objects. In medical applications this offers the opportunity to diagnose or study diseases, such as Chronic Obstructive Pulmonary Disease (COPD) with limited consequence to the patients. COPD is major cause of death and disability world-wide. It affects how lungs function through two competing mechani...

We present a fast and robust supervised algorithm for labeling anatomical airway trees, based on geodesic distances in a geometric tree-space. Possible branch label configurations for a given tree are evaluated based on distances to a training set of labeled trees. In tree-space, the tree topology and geometry change continuously, giving a natural way to automatically handle anatomical differen...

Pulmonary airways are subdivided into conducting and gas-exchanging airways. An acinus is defined as the small tree of gas-exchanging airways, which is fed by the most distal purely conducting airway. Until now a dissector of five consecutive sections or airway casts were used to count acini. We developed a faster method to estimate the number of acini in young adult rats. Right middle lung lob...

Individual structural parameters of trees, such as forest stand tree height and biomass, serve the foundation for monitoring dynamic changes in resources. are closely related to individual crown segmentation. Although three-dimensional (3D) data have been successfully used determine segmentation, this phenomenon is influenced by various factors, (i) source 3D data, (ii) segmentation algorithm, ...

Tree image segmentation is an important algorithm and technique to separate an individual tree from the surrounding landscape in a photographic image. In recent years, this problem is a hot issue for scientific workers in forestry research field. In order to get a better processing result to the problem that a large number of holes and transparent phenomenon appear in the internal area of tree ...

Individual tree crown segmentation is frequently required in forest inventory, biomass measurement, change detection, tree species recognition, etc. It is almost impossible to do manual segmentation of huge forest by human. In this paper, we present an automatic method for individual tree crown segmentation in aerial forestry images. We first extract treetops using the method in [1]. Next we ap...

A new method of image segmentation based on building up a hierarchical tree through non-linear scale-space is proposed. Non-linear scale space creates from the original image the whole family of blurred images but keeps sharp region boundaries. This characteristic of preserving edges turns out to be extremely useful in choosing a linking strategy through scale. Segmentation is realized in two s...

This paper proposes a method to extract the airway tree from CT images by continually extending the tree with locally optimal paths. This is in contrast to commonly used region growing based approaches that only search the space of the immediate neighbors. The result is a much more robust method for tree extraction that can overcome local occlusions. The cost function for obtaining the optimal ...