Automated vertebrae extraction using watershed segmentation and tree-based modelling approach

被引：1

作者：

Ikhsan, Ili Ayuni Mohd ^{[1
]}

Hussain, Aini ^{[1
]}

Zulkifley, Mohd Asyraf ^{[1
]}

Mustapha, Aouache ^{[1
]}

机构：

[1] Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia

来源：

Journal of Fiber Bioengineering and Informatics | 2015年 / 8卷 / 03期

关键词：

Automation - Extraction - Medical imaging - Musculoskeletal system - Trees (mathematics) - Watersheds - X ray analysis;

D O I：

10.3993/jfbim00155

中图分类号：

学科分类号：

摘要：

Vertebra segmentation and extraction are essential steps for automated vertebrae fracture assessment system. This study focuses on vertebra segmentation, which is a challenging task due to high noise and poor contrast of X-Ray images. The objective of this study is to develop and test an automated cervical vertebrae extraction to facilitate the medical researchers and physicians. The novelty of the proposed method is the combination of watershed segmentation and tree-based modelling algorithm. The proposed method has been successfully applied to a set of 50 cervical X-Ray images. Five performance metrics are calculated, which are accuracy, sensitivity, specificity, correlation and error where the best obtained results are 0.9886, 0.0655, 0.99, 0.7246 and 0.01135, respectively. © 2015 Binary Information Press & Textile Bioengineering and Informatics Society.

引用

页码：547 / 555

共 50 条

[1] Local Spectral Envelope: An Approach Using Dyadic Tree-Based Adaptive Segmentation
David S. Stoffer
Hernando C. Ombao
David E. Tyler
[J]. Annals of the Institute of Statistical Mathematics, 2002, 54 : 201 - 223
[2] Local spectral envelope: An approach using dyadic tree-based adaptive segmentation
Stoffer, DS
Ombao, HC
Tyler, DE
[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2002, 54 (01) : 201 - 223
[3] Hierarchical Segmentation Using Tree-Based Shape Spaces
Xu, Yongchao
Carlinet, Edwin
Eraud, Thierry G.
Najman, Laurent
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 39 (03) : 457 - 469
[4] Market segmentation of clearance sales outshoppers using cluster and classification tree-based approach
Hemalatha, M.
[J]. INTERNATIONAL JOURNAL OF INDIAN CULTURE AND BUSINESS MANAGEMENT, 2012, 5 (06) : 627 - 643
[5] Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers
Yin, Pei
Criminisi, Antonio
Winn, John
Essa, Irfan
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2011, 33 (01) : 30 - 42
[6] Incremental information extraction using tree-based context representations
Siefkes, C
[J]. COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, 2005, 3406 : 510 - 521
[7] Comparing Image Objects Using Tree-Based Approach
Zielinski, Bartlomiej
Iwanowski, Marcin
[J]. COMPUTER VISION AND GRAPHICS, 2012, 7594 : 702 - 709
[8] A decision tree-based classification approach to rule extraction for security analysis
Ren, N
Zargham, M
Rahimi, S
[J]. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2006, 5 (01) : 227 - 240
[9] Tree-based classifiers for bilayer video segmentation
Yin, Pei
Criminisi, Antonio
Winn, John
Essa, Irfan
[J]. 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, 2007, : 295 - +
[10] Tree-based protocol for automated trust negotiation
Yao, Hui
Gao, Chengshi
Dai, Qing
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 1112 - +

← 1 2 3 4 5 →