Paper Info
Title
Clinical Evaluation Of An Automatic Method For Segmentation And Characterization Of The Thoracic Aorta With And Without Aneurysm Patients
Abstract
The aim of this study was to clinically evaluate a fully automatic method for segmentation and characterizing the thoracic aorta. From 2010 to 2013, a total of 27 patients were randomly selected for the study. The automatic method was compared with two segmentations manually performed by two independent radiologists amd a commercial software for gauging calibres.The results of the segmentation measurements showed a Dice Similarity Coefficient of 93.98 +/- 0.27, a correlation coefficient of 0.875 +/- 0.012, and an intraclass correlation coefficient of 0.909 +/- 0.011 for both experts. For the diameter measurements, the values were a Pearson's Correlation Coefficient of 0.933, and an intraclass correlation of 0.913. The Bland-Altman plots showed no statistically significant differences between the commercial method and the proposed method.In conclusion, the method developed is capable of automatically calculating the diameters, and the segmentation of the thoracic aorta.
Year
DOI
Venue
2015
10.1007/978-3-319-19390-8_81
PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015)
Keywords
DocType
Volume
TAA, MDCT, Aneurysm, Diameter, Segmentation, Characterization
Conference
9117
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
2
6
Name
Order
Citations
PageRank
Juan Antonio Martínez-Mera151.25
Pablo G. Tahoces212716.27
R. Varela-Ponte300.34
Jorge Juan Suárez-Cuenca4211.68
Miguel Souto511110.66
Jose M Carreira6142.97