Book chapter
Design of Cerebrovascular Phantoms Using Fuzzy Distance Transform-based Geodesic Paths
Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, pp.359-367
Advances in Intelligent Systems and Computing, Springer Singapore
07/13/2017
DOI: 10.1007/978-981-10-3373-5_36
Abstract
Generation of digital phantoms specific to the patients’ carotid vasculature is a complicated and challenging task because of its complex geometrical structure and interconnections. Such digital phantoms are extremely useful in quick analysis of the vascular geometry and modelling blood flows in the cerebrovasculature. All these analyses lead to effective diagnosis and detection/localization of the diseased arterial segment in the cerebrovasculature. In this work, we have proposed a semi-automatic geodesic path propagation algorithm based on fuzzy distance transform to generate digital cerebrovascular phantoms from the patients’ CT angiogram (CTA) images. We have also custom-developed a 2-D/3-D user interface for accurate placement of user specified seeds on the input images. The proposed method effectively separates the artery/vein regions from the soft bones in the overlapping intensity regions using minimal human interaction. Qualitative results along with 3-D rendition of the cerebrovascular phantoms on four patients CTA images are presented here.
Details
- Title: Subtitle
- Design of Cerebrovascular Phantoms Using Fuzzy Distance Transform-based Geodesic Paths
- Creators
- Indranil Guha - Jadavpur UniversityNirmal Das - Jadavpur UniversityPranati Rakshit - Jadavpur UniversityMita Nasipuri - Jadavpur UniversityPunam K Saha - University of IowaSubhadip Basu - Jadavpur University
- Resource Type
- Book chapter
- Publication Details
- Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, pp.359-367
- Publisher
- Springer Singapore; Singapore
- Series
- Advances in Intelligent Systems and Computing
- DOI
- 10.1007/978-981-10-3373-5_36
- eISSN
- 2194-5365
- ISSN
- 2194-5357
- Language
- English
- Date published
- 07/13/2017
- Academic Unit
- Electrical and Computer Engineering; Radiology
- Record Identifier
- 9984197413702771
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