Skeletonization of Volumetric Angiograms for Display

Yi, Dingrong; Hayward, Vincent

doi:10.1080/1025584021000003874

Cited by 19 publications

(11 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Terminal points were detected by searching for local maximums in the seed map. Identification of branching points was accomplished using a center-line extraction, or skeletonization, of the segmented structure (1,10,11,17,21,23,31,42). This was done by tracing each terminal point back to the seed point through the segmented volume.…”

Section: Methodsmentioning

confidence: 99%

Airway and pulmonary vascular measurements using contrast-enhanced micro-CT in rodents

Counter

Wang

Farncombe

et al. 2013

American Journal of Physiology-Lung Cellular and Molecular Phys

View full text Add to dashboard Cite

Counter WB, Wang IQ, Farncombe TH, Labiris NR. Airway and pulmonary vascular measurements using contrast-enhanced micro-CT in rodents. Am J Physiol Lung Cell Mol Physiol 304: L831-L843, 2013. First published April 5, 2013 doi:10.1152/ajplung.00281.2012.-Preclinical imaging allows pulmonary researchers to study lung disease and pulmonary drug delivery noninvasively and longitudinally in small animals. However, anatomically localizing a pathology or drug deposition to a particular lung region is not easily done. Thus, a detailed knowledge of the anatomical structure of small animal lungs is necessary for understanding disease progression and in addition would facilitate the analysis of the imaging data, mapping drug deposition and relating function to structure. In this study, contrast-enhanced micro-computed tomography (CT) of the lung produced high-resolution images that allowed for the characterization of the rodent airway and pulmonary vasculature. Contrast-enhanced micro-CT was used to visualize the airways and pulmonary vasculature in Sprague-Dawley rats (200 -225 g) and BALB/c mice (20 -25 g) postmortem. Segmented volumes from these images were processed to yield automated measurements of the airways and pulmonary vasculature. The diameters, lengths, and branching angles of the airway, arterial, and venous trees were measured and analyzed as a function of generation number and vessel diameter to establish rules that could be applied at all levels of tree hierarchy. In the rat, airway, arterial, and venous tress were measured down to the 20th, 16th, and 14th generation, respectively. In the mouse, airway, arterial, and venous trees were measured down to the 16th, 8th, and 7th generation, respectively. This structural information, catalogued in a rodent database, will increase our understanding of lung structure and will aid in future studies of the relationship between structure and function in animal models of disease. computed tomography; contrast agents; pulmonary circulation; airway nomenclature THE LUNG IS A COMPLEX ORGAN that works dynamically and must react to changes in posture, environment, and disease (20). Its major function is gas exchange, bringing oxygen into the body while removing carbon dioxide. To accomplish this task, a well-coordinated interaction between the lung and pulmonary circulation is essential. The rodent lung is comprised of two branching networks: the airways and pulmonary vasculature. With the advent of small animal imaging systems, researchers are able to visualize these networks in situ and noninvasively study the progression of lung disease and assess drug efficacy in animal models of disease. Much of this research involves combining the anatomical data obtained using computed tomography (CT) with the functional data obtained using single photon emission computed tomography (SPECT) or positron emission tomography (PET). A detailed knowledge of the structure of the lung would facilitate the mapping of functional data relative to lung anatomy and thus further our understandi...

show abstract

Section: Methodsmentioning

confidence: 99%

Airway and pulmonary vascular measurements using contrast-enhanced micro-CT in rodents

Counter

Wang

Farncombe

et al. 2013

American Journal of Physiology-Lung Cellular and Molecular Phys

View full text Add to dashboard Cite

show abstract

“…In related work (Yi and Hayward, 2002), the centerline representation of vessel network is derived from a binary volume image, which in turn is obtained by segmenting the intensity volume angiogram using an automatic flood-fill-in Further author information: Email: yidingr,hayward@cim.mcgill.ca algorithm. The binary image is then skeletonized by employing a voxel coding approach originally proposed by Zhou and Toga (1999).…”

Section: Introductionmentioning

confidence: 99%

Linear cost reconstruction of vascular trees from intensity volume angiograms

Hayward

2002

SPIE Proceedings

Self Cite

View full text Add to dashboard Cite

This paper introduces a two-phase algorithm to extract a center-adjusted, one-voxel-thick line representation of cerebral vascular trees from volume angiograms coded in gray-scale intensity. The first stage extracts and arranges the vessel system in the form of a directed graph whose nodes correspond to the cross sections of the vessels and whose node connectivity encodes their adjacency. The manual input reduces to the selection of two thresholds and the designation of a single initial point. In a second stage, each node is replaced by a centered voxel. The locations of the extracted centerlines are insensitive to noise and to the thresholds used. The overall computational cost is linear, of the order of the size of the input image. An example is provided which demonstrates the result of the algorithm applied to actual data. While being developed to reconstruct a line representation of a vessel network, the proposed algorithm can also be used to estimate quantitative features in any 2-D and/or 3-D intensity images. This technique is sufficiently fast to process large 3-D images at interactive rates using commodity computers.

show abstract

“…For example, inspection of the views in Figure 3 indicate that it is difficult to realize that the shape of a vessel system could actually be highly organized. While stereopsis is helpful, the haptic experience of this system of curves should be very effective and fast [9]. Figure 3.…”

Section: Application Examplesmentioning

confidence: 99%