کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5485960 1399443 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Anatomical Regurgitant Orifice Detection and Quantification from 3-D Echocardiographic Images
ترجمه فارسی عنوان
تشخیص و تشخیص ویروس تشریحی آناتومیک از تصاویر اکوکاردیوگرافی سه بعدی
کلمات کلیدی
اکوکاردیوگرافی سه بعدی، سوراخکاری میترال، سوراخ بینی تشریحی، مسابقه منطقه، حداکثر جریان، مینی برش،
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم آکوستیک و فرا صوت
چکیده انگلیسی
The vena contracta and effective regurgitant orifice area (EROA) are currently used for the clinical assessment of mitral regurgitation (MR) from 2-D color Doppler imaging. In addition to being highly user dependent and having low repeatability, these methods do not represent accurately the anatomic regurgitant orifice (ARO), which affects the adequate assessment of MR patients. We propose a novel method for semi-automatic detection and quantitative assessment of the 3-D ARO shape from 3-D transesophageal echocardiographic images. The algorithm was tested on a set of 25 patients with MR, and compared with EROA for validation. Results indicate the robustness of the proposed approach, with low variability in relation to different settings of user-defined segmentation parameters. Although EROA and ARO exhibited a good correlation (r = 0.8), relatively large biases were measured, indicating that EROA probably underestimates the real shape and size of the regurgitant orifice. Along with the higher reproducibility of the proposed approach, this highlights the limitations of current clinical approaches and underlines the importance of accurate assessment of the ARO shape for diagnosis and treatment in MR patients.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasound in Medicine & Biology - Volume 43, Issue 5, May 2017, Pages 1048-1057
نویسندگان
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