Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging data
Φόρτωση...
Ημερομηνία
Συγγραφείς
Tripoliti, E. E.
Fotiadis, D. I.
Argyropoulou, M.
Τίτλος Εφημερίδας
Περιοδικό ISSN
Τίτλος τόμου
Εκδότης
Elsevier
Περίληψη
Τύπος
Είδος δημοσίευσης σε συνέδριο
Είδος περιοδικού
peer reviewed
Είδος εκπαιδευτικού υλικού
Όνομα συνεδρίου
Όνομα περιοδικού
Artif Intell Med
Όνομα βιβλίου
Σειρά βιβλίου
Έκδοση βιβλίου
Συμπληρωματικός/δευτερεύων τίτλος
Περιγραφή
Objectives: The aim of this paper is the development of an automated method for the segmentation and quantification of inflammatory tissue of the hand in patients suffering form rheumatoid arthritis using contrast enhanced T1-weighted magnetic resonance images. Methods and materials: The proposed automatic method consists of four stages: (a) preprocessing of images, (b) identification of the number of clusters, by minimizing the appropriate validity index, (c) segmentation using the fuzzy C-means algorithm employing four features which are related to intensity and the location of pixels and (d) postprocessing, where defuzzification is performed and small objects and vessels are eliminated and quantification takes place. Results: The proposed method is evaluated using a dataset of image sequences obtained from 25 patients suffering from rheumatoid arthritis. For 17 of them we have obtained follow-up images after 1 year treatment. The obtained sensitivity and positive predictive rate is 97.71% and 83.35%, respectively. In addition, quantification of inflammation before and after treatment, as welt as, comparison with manual segmentation is carried out. Conclusions: The proposed method performs very well and results in high detection and quantification accuracy. However, the reduction of false positives and the identification of old inflammation must be addressed. (c) 2007 Elsevier B.V. All rights reserved.
Περιγραφή
Λέξεις-κλειδιά
rheumatoid arthritis, fuzzy c-means clustering, magnetic resonance imaging, c-means algorithm, synovial-membrane, quantitative assessment, disease-activity, finger joints, wrist, volume, destruction, mri, pathogenesis
Θεματική κατηγορία
Παραπομπή
Σύνδεσμος
<Go to ISI>://000247433200001
http://ac.els-cdn.com/S0933365707000164/1-s2.0-S0933365707000164-main.pdf?_tid=563d894a63a589bb7f8caf9dca3c618e&acdnat=1339758852_d86704838f9e2183526646025e38f89b
http://ac.els-cdn.com/S0933365707000164/1-s2.0-S0933365707000164-main.pdf?_tid=563d894a63a589bb7f8caf9dca3c618e&acdnat=1339758852_d86704838f9e2183526646025e38f89b
Γλώσσα
en
Εκδίδον τμήμα/τομέας
Όνομα επιβλέποντος
Εξεταστική επιτροπή
Γενική Περιγραφή / Σχόλια
Ίδρυμα και Σχολή/Τμήμα του υποβάλλοντος
Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικών