Extracting Thickness Profiles of Anterior Mitral Leaflets in Echocardiography Videos

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Pires, L (Author) Other; Sultan, MS (Author) Other; Martins, N (Author) Other; Costa, E (Author) Other; Veiga, D (Author) Other; Ferreira, MJ (Author) Other; Silva Mattos, Sd (Author) Other; Coimbra, M (Author) FCUP

Conference proceedings International

Title: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, HI, USA, July 18-21, 2018

Pages: 3582-3585

Indexing

Scopus - 2 Citations

Other information

Authenticus ID: P-00P-YC6

DOI: 10.1109/embc.2018.8512963

Abstract (EN): Rheumatic heart disease is the serious consequence of repeated episodes of acute rheumatic fever. It is the major cause of heart valve damage resulting in morbidity and mortality. Its early detection is considered vital to control the disease's progression. The key manifestations that are visible in the early stages of this disease are changes in the thickness, shape and mobility of the mitral valve leaflets. Echocardiography based screening is sensitive enough to identify these changes in early stages of the disease. In this work, an automatic approach is proposed to measure, quantify and analyze the thickness of the anterior mitral leaflet, in an echocardiographic video. The shape of the anterior mitral leaflet is simplified via morphological skeletonization and spline modelling to get the central line of the leaflet. To analyze the overall thickness from the tip to its base, the anterior mitral leaflet is divided into four quartiles. In ach quartile the thickness is measured as the length of the line segment resulting from the intersection of the contour with the normal direction of the central point of each quartile. Finally, the thickness is analyzed by measuring the variance per quartile, divided by leaflet position (open, straight and closed). The comparison between the normal and pathological leaflets are also presented, exhibiting statistical significant differences in all quartiles, especially near the tip of the leaflet. © 2018 IEEE.

Language: English

Type (Professor's evaluation): Scientific