NDLI: Three-dimensional segmentation and quantification of the anatomic regurgitant orifice in mitral regurgitation using 3D ultrasound images

Content Provider	IEEE Xplore Digital Library
Author	Sotaquira, Miguel Pepi, Mauro Tamborini, Gloria Caiani, Enrico
Copyright Year	2015
Description	Author affiliation: Universidad de San Buenaventura, Bogota, Colombia (Sotaquira, Miguel) \|\| Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milan, Italy (Caiani, Enrico) \|\| Centro Cardiologico Monzino IRCCS, Milan, Italy (Pepi, Mauro; Tamborini, Gloria)
Abstract	Currently, clinical assessment of mitral regurgitation (MR) makes the use of 2D color Doppler imaging for the estimation of the vena contracta (VC) and of the effective regurgitant orifice area (EROA)‥Since the anatomic regurgitant orifice (ARO) has a 3D shape and it's not circular, it cannot be accurately represented by these 2D parameters. We developed a novel semiautomated method for 3D ARO segmentation and quantification using 3D transesophageal echocardiographic (TEE) datasets, and validated it vs manual planimetry on a set of 25 patients with mild to severe MR. ARO 2D projected area and circularity index (CI) correlated well with planimetry results (r2=0.77 and 0.90 and bias of −0.02 and 0.02, respectively). In 19/25 patients ARO planarity index was less than 0.9, confirming its 3D morphology. Only 1/25 patients exhibited an almost circular ARO (CI > 0.92), while 24/25 patients had more elongated orifices (CI<0.8). In conclusion, volumetric quantification of 3D ARO is feasible, and the results confirm the potential of this technique for the estimation of real 3D ARO shape. The proposed method could be a useful alternative for the assessment of patients with MR, given the intrinsic shape of the ARO and the limitations present in current approaches.
Starting Page	13
Ending Page	16
File Size	349920
Page Count	4
File Format	PDF
ISBN	9781509006854
ISSN	2325887X
e-ISBN	9781509006847
DOI	10.1109/CIC.2015.7408574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Image segmentation Magnetic resonance Biomedical imaging Sociology Statistics Cardiology Three-dimensional displays
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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