Book chapter
Multi-scale Topo-morphometric Opening of Arteries and Veins: An Evaluative Study via Pulmonary CT Imaging
Advances in Visual Computing, pp.129-138
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2010
DOI: 10.1007/978-3-642-17277-9_14
Abstract
Distinguishing pulmonary arterial and venous (A/V) trees via in vivo imaging is essential for quantification of vascular geometry useful to diagnose several pulmonary diseases. A multi-scale topo-morphologic opening algorithm has recently been introduced separating A/V trees via non-contrast CT imaging. The method starts with two sets of seeds — one for each of A/V trees and combines fuzzy distance transform, fuzzy connectivity, and morphologic reconstruction leading to locally-adaptive multi-scale opening of two mutually fused structures. Here, we present results of a comprehensive validation study assessing both reproducibility and accuracy of the method. Accuracy of the method is examined using both mathematical phantoms and CT images of contrast-separated pulmonary A/V casting of a pig’s lung. Reproducibility of the method is evaluated using multi-user A/V separations of patients’s CT pulmonary data and contrast-enhanced CT data of a pig’s lung at different volumes. The qualitative and quantitative results are very promising.
Details
- Title: Subtitle
- Multi-scale Topo-morphometric Opening of Arteries and Veins: An Evaluative Study via Pulmonary CT Imaging
- Creators
- Zhiyun Gao - Department of Electrical and Computer Engineering, The University of Iowa, Iowa CityColin Holtze - Department of Radiology, The University of Iowa, Iowa CityRandall Grout - Department of Radiology, The University of Iowa, Iowa CityMilan Sonka - Department of Electrical and Computer Engineering, The University of Iowa, Iowa CityEric Hoffman - Department of Radiology, The University of Iowa, Iowa CityPunam K Saha - Department of Radiology, The University of Iowa, Iowa City
- Resource Type
- Book chapter
- Publication Details
- Advances in Visual Computing, pp.129-138
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-642-17277-9_14
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Language
- English
- Date published
- 2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047710402771
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