Automated left ventricular segmentation in cardiac MRI.

IEEE Trans Biomed Eng · Jul 2006

Controlled Clinical Trial

Automated left ventricular segmentation in cardiac MRI.

We present an automated left ventricular (LV) myocardial boundary extraction method. Automatic localization of the LV is achieved using a motion map and an expectation maximization algorithm. The myocardial region is then segmented using an intensity-based fuzzy affinity map and the myocardial contours are extracted by cost minimization through a dynamic programming approach. The results from the automated algorithm compared against the experienced radiologists using Bland and Altman analysis were found to have consistent mean bias of 7% and limits of agreement comparable to the inter-observer variability inherent in the manual method.

expand abstract… or not…
- Amol Pednekar, Uday Kurkure, Raja Muthupillai, Scott Flamm, and Ioannis A Kakadiaris.
- MR Clinical Science Group, Philips Medical Systems North America, Bothell, WA 98021, USA. amol.pednekar@philips.com
- IEEE Trans Biomed Eng. 2006 Jul 1; 53 (7): 1425-8.
AbstractWe present an automated left ventricular (LV) myocardial boundary extraction method. Automatic localization of the LV is achieved using a motion map and an expectation maximization algorithm. The myocardial region is then segmented using an intensity-based fuzzy affinity map and the myocardial contours are extracted by cost minimization through a dynamic programming approach. The results from the automated algorithm compared against the experienced radiologists using Bland and Altman analysis were found to have consistent mean bias of 7% and limits of agreement comparable to the inter-observer variability inherent in the manual method.

Pubmed Full text Copy Citation Plaintext

Add institutional full text...
Notes
Knowledge, pearl, summary or comment to share?

300 characters remaining

help

You can also include formatting, links, images and footnotes in your notes

Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.

Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.

Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.

Links can be included with: [my link to pubmed](http://pubmed.com)

Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")

For footnotes use [^1](This is a footnote.) inline.

Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..
hide…

Automated left ventricular segmentation in cardiac MRI.

Notes

300 characters remaining

help

You can also include formatting, links, images and footnotes in your notes

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.