Literature DB >> 18979841

Automatic mitral valve inflow measurements from Doppler echocardiography.

JinHyeong Park1, S Kevin Zhou, John Jackson, Dorin Comaniciu.   

Abstract

Doppler echocardiography is widely used for functional assessment of heart valves such as mitral valve. In current clinical work flow, to extract Doppler measurements, the envelopes of acquired Doppler spectra are manually traced. We propose a robust algorithm for automatically tracing the envelopes of mitral valve inflow Doppler spectra, which exhibit a large amount of variations in envelope shape and image appearance due to various disease conditions, patient/sonographer/instrument differences, etc. The algorithm is learning-based and capable of fully automatic detection and segmentation of the mitral inflow structures. Experiments show that the algorithm, running within one second, yields comparable performance to experts.

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Year:  2008        PMID: 18979841     DOI: 10.1007/978-3-540-85988-8_117

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  6 in total

1.  Shape-based Similarity Retrieval of Doppler Images for Clinical Decision Support.

Authors:  T Syeda-Mahmood; P Turaga; D Beymer; F Wang; A Amir; H Greenspan; K Pohl
Journal:  Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit       Date:  2010-08-05

2.  The ventricular volume variability study of the Pediatric Heart Network: study design and impact of beat averaging and variable type on the reproducibility of echocardiographic measurements in children with chronic dilated cardiomyopathy.

Authors:  Steven D Colan; Girish Shirali; Renee Margossian; Dianne Gallagher; Karen Altmann; Charles Canter; Shan Chen; Fraser Golding; Elizabeth Radojewski; Michael Camitta; Michael Carboni; Jack Rychik; Mario Stylianou; Lloyd Y Tani; Elif Seda Selamet Tierney; Yanli Wang; Lynn A Sleeper
Journal:  J Am Soc Echocardiogr       Date:  2012-06-05       Impact factor: 5.251

Review 3.  Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions.

Authors:  Ghada Zamzmi; Li-Yueh Hsu; Wen Li; Vandana Sachdev; Sameer Antani
Journal:  IEEE Rev Biomed Eng       Date:  2021-01-22

4.  A new automated system to identify a consistent sampling position to make tissue Doppler and transmitral Doppler measurements of E, E' and E/E'.

Authors:  Niti M Dhutia; Graham D Cole; Keith Willson; Daniel Rueckert; Kim H Parker; Alun D Hughes; Darrel P Francis
Journal:  Int J Cardiol       Date:  2010-11-20       Impact factor: 4.164

5.  Extraction of Peak Velocity Profiles from Doppler Echocardiography Using Image Processing.

Authors:  Amirtahà Taebi; Richard H Sandler; Bahram Kakavand; Hansen A Mansy
Journal:  Bioengineering (Basel)       Date:  2019-07-26

6.  Open-source, vendor-independent, automated multi-beat tissue Doppler echocardiography analysis.

Authors:  Niti M Dhutia; Massoud Zolgharni; Michael Mielewczik; Madalina Negoita; Stefania Sacchi; Karikaran Manoharan; Darrel P Francis; Graham D Cole
Journal:  Int J Cardiovasc Imaging       Date:  2017-02-20       Impact factor: 2.357

  6 in total

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