Normalized Wall Thickening Patterns for Detecting Cardiac Functional Abnormality from Cine MRI Images

A method is presented for detecting regional wall motion abnormality based on capturing the variation in myocardial thickness during the cardiac cycle from standard cine MRI images. The extracted wall thickness patterns are normalized relative to the average epicardial radius, mapped to lower dimensions using principal component analysis, and then classified into normal or abnormal using the maximum likelihood criterion with leave-one-out method. The developed method provides automatic assessment of regional abnormality for each segment in each slice; therefore, it could be a valuable tool for automatic and fast determination of regional wall motion abnormality from conventional untagged cine images.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.