A semiautomatic approach for segmentation of carotid vasculature from patients’ CTA images

Indranil Guha; Nirmal Das; Pranati Rakshit; Mita Nasipuri; Punam K Saha; Subhadip Basu

doi:10.1007/s11334-017-0289-y

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A semiautomatic approach for segmentation of carotid vasculature from patients’ CTA images

Journal article

Peer reviewed

A semiautomatic approach for segmentation of carotid vasculature from patients’ CTA images

Indranil Guha, Nirmal Das, Pranati Rakshit, Mita Nasipuri, Punam K Saha and Subhadip Basu

Innovations in systems and software engineering, Vol.13(4), pp.243-250

06/19/2017

DOI: 10.1007/s11334-017-0289-y

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Abstract

Segmentation of vasculature specific to the patients’ carotid vasculature is a complicated and challenging task because of its complex geometrical structure and interconnections. Accurate or approximate digital phantoms of the vasculature are extremely useful in quick analysis of the vascular geometry and the modelling of blood flow 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 semiautomatic 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 segmented cerebrovasculature on eight patients’ CTA images are presented here.

Artificial Intelligence

Computer Applications

Computer Science

S.i. : Icacni-2016

Software Engineering

Details

Title: Subtitle: A semiautomatic approach for segmentation of carotid vasculature from patients’ CTA images
Creators: Indranil Guha - Jadavpur University
Nirmal Das - Jadavpur University
Pranati Rakshit - Jadavpur University
Mita Nasipuri - Jadavpur University
Punam K Saha - University of Iowa
Subhadip Basu - Jadavpur University
Resource Type: Journal article
Publication Details: Innovations in systems and software engineering, Vol.13(4), pp.243-250
Publisher: Springer London
DOI: 10.1007/s11334-017-0289-y
ISSN: 1614-5046
eISSN: 1614-5054
Grant note: F.30-31/2016(SA-II) / University Grants Commission (http://dx.doi.org/10.13039/501100001501">University Grants Commission)
Language: English
Date published: 06/19/2017
Academic Unit: Electrical and Computer Engineering; Radiology
Record Identifier: 9984197340202771

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