Improved Multi-scale Opening Algorithm Using Fuzzy Distance Transform Based Geodesic Path Propagation

Nirmal Das; Indranil Guha; Punam K Saha; Subhadip Basu

doi:10.1007/978-981-15-7834-2_29

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Book chapter

Improved Multi-scale Opening Algorithm Using Fuzzy Distance Transform Based Geodesic Path Propagation

Nirmal Das, Indranil Guha, Punam K Saha and Subhadip Basu

Proceedings of International Conference on Frontiers in Computing and Systems, pp.309-318

Advances in Intelligent Systems and Computing, Springer Singapore

11/24/2020

DOI: 10.1007/978-981-15-7834-2_29

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Abstract

Vessel tree segmentation from CT scan angiogram images of the human brain is a challenging task. The complex geometry, interconnections, and fusion with soft tissues and bones make the segmentation process harder. The segmented cerebrovasculature plays a major role in the fast analysis of vascular geometry leading to an effective diagnosis of the diseased cerebrovascular segment. The present work proposes a geodesic path propagation based on fuzzy distance transform to improve the multi-scale opening algorithm for effective segmentation of carotid vessel with less user intervention. The geodesic path is estimated between a pair of vessel seeds given by the user. The points on the paths are used as the initial pure vessel seeds during the multi-scale opening of the vascular tree from other fused conjoint components (bone, soft tissue etc.) in a shared intensity space. We developed a 2D/3D user interface to mark user-specified vessel/bone seeds or separators on the input images. Experiments on three patients’ CTA images show significant qualitative improvement in segmentation results with much lesser user intervention.

3D rendering

Carotid vasculature

Cerebrovasculature

Fuzzy distance transformation

Geodesic paths

Multi-scale opening

Details

Title: Subtitle: Improved Multi-scale Opening Algorithm Using Fuzzy Distance Transform Based Geodesic Path Propagation
Creators: Nirmal Das - Jadavpur University
Indranil Guha - University of Iowa
Punam K Saha - University of Iowa
Subhadip Basu - Jadavpur University
Resource Type: Book chapter
Publication Details: Proceedings of International Conference on Frontiers in Computing and Systems, pp.309-318
Publisher: Springer Singapore; Singapore
Series: Advances in Intelligent Systems and Computing
DOI: 10.1007/978-981-15-7834-2_29
eISSN: 2194-5365
ISSN: 2194-5357
Language: English
Date published: 11/24/2020
Academic Unit: Electrical and Computer Engineering; Radiology
Record Identifier: 9984197237402771

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