&lt;title&gt;Collaborative processing to extract myocardium from a sequence of two-dimensional echocardiograms&lt;/title&gt;

Revankar, Shriram V.; Sher, David B.; Rosenthal, Steven

doi:10.1117/12.44402

Cited by 6 publications

(2 citation statements)

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“…Since this was a crucial stage of border detection, automation of this stage could reduce variability and bring an improvement in speed. Some other interactive thresholding schemes applied to echo cardiograms can be seen in Revanakar et al [176] , [177], [178].…”

Section: Manual and Semi-automatic LV Thresholdingmentioning

confidence: 99%

Advanced Algorithmic Approaches to Medical Image Segmentation

Suri¹,

Setarehdan²,

Singh³

2002

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Section: Manual and Semi-automatic LV Thresholdingmentioning

confidence: 99%

Advanced Algorithmic Approaches to Medical Image Segmentation

Suri¹,

Setarehdan²,

Singh³

2002

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“…If the expert is convinced that they are extraneous, he just points at those fragments using mouse-clicks as shown inFigure 2-(3), and a region growing algorithm[7] deletes those regions and displays the refined output as shown in the upper frame ofFigure 2-(4). Fragments are quite often extraneous reflections caused by the overlapping papillary muscles, and the endocardium.…”

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confidence: 99%

<title>Supervised interpretation of echocardiograms with a psychological model of expert supervision</title>

et al. 1993

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We have developed a collaborative scheme that facilitates active human supervision of the binary segmentation of an echocardiogram. The scheme complements the reliability of a human expert with the precision of segmentation algorithms. In the developed system, an expert user compares the computer generated segmentation with the original image in a user friendly graphics environment, and interactively indicates the incorrectly classified regions either by poiniing or by circling. The precise boundaries of the indicated regions are computed by studying original image properties at that region, and a human visual aflenlion disribn1on map obtained from the published psychological and psychophysical research. We use the developed system to extract contours of heart chambers from a sequence of two dimensional echocardiograms.We are currently extending this method to incorporate a richer set of inputs from the human supervisor, to facilitate multi-classification of image regions depending on their functionality. We are integrating into our system the knowledge related constraints that cardiologists use, to improve the capabilities of our existing system. This extension involves developing a psychological model of expert reasoning, functional and relational models of typical views in echocardiograms, and corresponding interface modifications to map the suggested actions to image processing algorithms. Association. We are grateful to Steve Rosenthal, M.D. for serving as a domain expert for the development of the expert itiodel. 100 ISPIE Vol. 1905 0-8194-1 138-8/93/$6.0O Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/22/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx SPIE Vol1. 1905/101 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/22/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Psychology: General, 109:160-174, 1980. ilO/SPIEVo!. 1905 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/22/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx

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