Multiple Hidden Markov Model for Pathological Vessel Segmentation
Joint Authors
Hu, Xin
Ding, Deqiong
Chu, Dianhui
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-10
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
One of the obstacles that prevent the accurate delineation of vessel boundaries is the presence of pathologies, which results in obscure boundaries and vessel-like structures.
Targeting this limitation, we present a novel segmentation method based on multiple Hidden Markov Models.
This method works with a vessel axis + cross-section model, which constrains the classifier around the vessel.
The vessel axis constraint gives our method the potential to be both physiologically accurate and computationally effective.
Focusing on pathological vessels, we reap the benefits of the redundant information embedded in multiple vessel-specific features and the good statistical properties coming with Hidden Markov Model, to cover the widest possible spectrum of complex situations.
The performance of our method is evaluated on synthetic complex-structured datasets, where we achieve a 91% high overlap ratio.
We also validate the proposed method on a real challenging case, segmentation of pathological abdominal arteries.
The performance of our method is promising, since our method yields better results than two state-of-the-art methods on both synthetic datasets and real clinical datasets.
American Psychological Association (APA)
Hu, Xin& Ding, Deqiong& Chu, Dianhui. 2018. Multiple Hidden Markov Model for Pathological Vessel Segmentation. BioMed Research International،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1130128
Modern Language Association (MLA)
Hu, Xin…[et al.]. Multiple Hidden Markov Model for Pathological Vessel Segmentation. BioMed Research International No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1130128
American Medical Association (AMA)
Hu, Xin& Ding, Deqiong& Chu, Dianhui. Multiple Hidden Markov Model for Pathological Vessel Segmentation. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1130128
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130128