Conference proceeding
Multi-level tree analysis of pulmonary artery/vein trees in non-contrast CT images
Proceedings of SPIE, Vol.8314(1), pp.83142W-83142W-8
Medical Imaging 2012: Image Processing
02/10/2012
DOI: 10.1117/12.911471
Abstract
Diseases like pulmonary embolism and pulmonary hypertension are associated with vascular dystrophy. Identifying
such pulmonary artery/vein (A/V) tree dystrophy in terms of quantitative measures via CT imaging significantly
facilitates early detection of disease or a treatment monitoring process. A tree structure, consisting of nodes and
connected arcs, linked to the volumetric representation allows multi-level geometric and volumetric analysis of A/V
trees. Here, a new theory and method is presented to generate multi-level A/V tree representation of volumetric data
and to compute quantitative measures of A/V tree geometry and topology at various tree hierarchies. The new method
is primarily designed on arc skeleton computation followed by a tree construction based topologic and geometric
analysis of the skeleton. The method starts with a volumetric A/V representation as input and generates its topologic
and multi-level volumetric tree representations long with different multi-level morphometric measures. A new
recursive merging and pruning algorithms are introduced to detect bad junctions and noisy branches often associated
with digital geometric and topologic analysis. Also, a new notion of shortest axial path is introduced to improve the
skeletal arc joining two junctions. The accuracy of the multi-level tree analysis algorithm has been evaluated using
computer generated phantoms and pulmonary CT images of a pig vessel cast phantom while the reproducibility of
method is evaluated using multi-user A/V separation of in vivo contrast-enhanced CT images of a pig lung at different
respiratory volumes.
Details
- Title: Subtitle
- Multi-level tree analysis of pulmonary artery/vein trees in non-contrast CT images
- Creators
- Zhiyun Gao - University of IowaRandall W Grout - University of IowaEric A Hoffman - University of IowaPunam K Saha - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.8314(1), pp.83142W-83142W-8
- Conference
- Medical Imaging 2012: Image Processing
- DOI
- 10.1117/12.911471
- ISSN
- 0277-786X
- Language
- English
- Date published
- 02/10/2012
- Academic Unit
- Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Internal Medicine; Radiology
- Record Identifier
- 9984197193402771
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