Model-Based Analysis of Flow-Mediated Dilation and Intima-Media Thickness
Author(s) -
G. Bartoli,
Gloria Menegaz,
Matteo Lisi,
Giuseppe Di Stolfo,
Saverio Dragoni,
Tommaso Gori
Publication year - 2008
Publication title -
international journal of biomedical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.626
H-Index - 41
eISSN - 1687-4196
pISSN - 1687-4188
DOI - 10.1155/2008/738545
Subject(s) - computer science , preprocessor , computer vision , artificial intelligence , segmentation , robustness (evolution) , interactivity , dilation (metric space) , reproducibility , biochemistry , chemistry , multimedia , statistics , mathematics , combinatorics , gene
We present an end-to-end system for the automatic measurement of flow-mediated dilation (FMD) and intima-media thickness (IMT) for the assessment of the arterial function. The video sequences are acquired from a B-mode echographic scanner. A spline model (deformable template) is fitted to the data to detect the artery boundaries and track them all along the video sequence. The a priori knowledge about the image features and its content is exploited. Preprocessing is performed to improve both the visual quality of video frames for visual inspection and the performance of the segmentation algorithm without affecting the accuracy of the measurements. The system allows real-time processing as well as a high level of interactivity with the user. This is obtained by a graphical user interface (GUI) enabling the cardiologist to supervise the whole process and to eventually reset the contour extraction at any point in time. The system was validated and the accuracy, reproducibility, and repeatability of the measurements were assessed with extensive in vivo experiments. Jointly with the user friendliness, low cost, and robustness, this makes the system suitable for both research and daily clinical use.
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