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Model-based analysis of flow-mediated dilation and intima-media thickness.

Bartoli G, Menegaz G, Lisi M, Di Stolfo G, Dragoni S, Gori T - Int J Biomed Imaging (2009)

Bottom Line: 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.Jointly with the user friendliness, low cost, and robustness, this makes the system suitable for both research and daily clinical use.

View Article: PubMed Central - PubMed

Affiliation: Department of Information Engineering, University of Siena, 53100 Siena, Italy.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

The first window of the software presents an “averageframe” derived as an average of all frames in the video and is used tomanually set the ROI. The second window requires the operator to click on twocalibration marks to calibrate the images.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig10: The first window of the software presents an “averageframe” derived as an average of all frames in the video and is used tomanually set the ROI. The second window requires the operator to click on twocalibration marks to calibrate the images.

Mentions: Figure 10 gives an example. A color bar (indicatedas ) gives an index of how parallel thesplines remain throughout the study thus facilitating the detection ofartifacts: a red color corresponds to a movie section of worse quality. Positioning the cursor in correspondence of these frames enables manualanalysis, for their eventual removal. Finally, the FMD data are presented as aplot as illustrated in Figure 11. The GUI allows the evaluation of the set ofmeasurements and the visualization of the framecorresponding to a given diameter. The tract of artery analyzed is typically 0.5–1 cm long. Intervals for each relevant condition (baseline, peak dilation) can be set. Inorder to facilitate the recognition of outliers, a frame preview window isadded to this window.


Model-based analysis of flow-mediated dilation and intima-media thickness.

Bartoli G, Menegaz G, Lisi M, Di Stolfo G, Dragoni S, Gori T - Int J Biomed Imaging (2009)

The first window of the software presents an “averageframe” derived as an average of all frames in the video and is used tomanually set the ROI. The second window requires the operator to click on twocalibration marks to calibrate the images.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2665907&req=5

fig10: The first window of the software presents an “averageframe” derived as an average of all frames in the video and is used tomanually set the ROI. The second window requires the operator to click on twocalibration marks to calibrate the images.
Mentions: Figure 10 gives an example. A color bar (indicatedas ) gives an index of how parallel thesplines remain throughout the study thus facilitating the detection ofartifacts: a red color corresponds to a movie section of worse quality. Positioning the cursor in correspondence of these frames enables manualanalysis, for their eventual removal. Finally, the FMD data are presented as aplot as illustrated in Figure 11. The GUI allows the evaluation of the set ofmeasurements and the visualization of the framecorresponding to a given diameter. The tract of artery analyzed is typically 0.5–1 cm long. Intervals for each relevant condition (baseline, peak dilation) can be set. Inorder to facilitate the recognition of outliers, a frame preview window isadded to this window.

Bottom Line: 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.Jointly with the user friendliness, low cost, and robustness, this makes the system suitable for both research and daily clinical use.

View Article: PubMed Central - PubMed

Affiliation: Department of Information Engineering, University of Siena, 53100 Siena, Italy.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus