Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Robust carotid artery recognition in longitudinal B-mode ultrasound images
Δημιουργός/Συγγραφέας:	Sifakis E.G. Golemati S.
Εκδότης:	Institute of Electrical and Electronics Engineers Inc.
Ημερομηνία:	2014
Γλώσσα:	Αγγλικά
ISSN:	1057-7149
DOI:	10.1109/TIP.2014.2332761
Άλλο:	PubMed ID: 24968172
Περίληψη:	Automatic segmentation of the arterial lumen from ultrasound images is an important task in clinical diagnosis. Carotid artery recognition, the first task in lumen segmentation, should be performed in a fully automated, fast, and reliable way to further facilitate the low-level task of arterial delineation. In this paper, a user-independent, real-time algorithm is introduced for carotid artery localization in longitudinal B-mode ultrasound images. The proposed technique acts directly on the raw image, and exploits basic statistics along with anatomical knowledge. The method's evaluation and parameter value optimization were performed on a threefold cross validation basis. In addition, the introduced algorithm was systematically compared with another algorithm for common carotid artery recognition in B-mode scans, separately for multi-frame and single-frame data. The data sets used included 2,149 images from 100 subjects taken from three different institutions and covering a wide range of possible lumen and surrounding tissue representations. Using the optimized values, the carotid artery was recognized in all the processed images in both multi-frame and single-frame data. Thus, the introduced technique will further reinforce automatic segmentation in longitudinal B-mode ultrasound images.
Τίτλος πηγής δημοσίευσης:	IEEE Transactions on Image Processing
Τόμος/Κεφάλαιο:	23
Τεύχος:	9
Σελίδες:	3762-3772
Θεματική Κατηγορία:	[EL] Τεχνολογία (Γενικά)[EN] Technology (General)
Λέξεις-Κλειδιά:	carotid artery Lumen recognition segmentation ultrasound
Αξιολόγηση από ομότιμους (peer reviewed):	Ναι
Κάτοχος πνευματικών δικαιωμάτων:	© 1992-2012 IEEE.
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο