Automatic view planning for cardiac MRI acquisition

Authors:
Xiaoguang Lu;Marie-Pierre Jolly;Bogdan Georgescu;Carmel Hayes;Peter Speier;Michaela Schmidt;Xiaoming Bi;Randall Kroeker;Dorin Comaniciu;Peter Kellman;Edgar Mueller;Jens Guehring
Affiliations:
Image Analytics and Informatics, Siemens Corporate Research, Princeton NJ;Image Analytics and Informatics, Siemens Corporate Research, Princeton NJ;Image Analytics and Informatics, Siemens Corporate Research, Princeton NJ;Siemens AG, Healthcare Sector, H IM MR PLM-AW CARD, Erlangan, Germany;Siemens AG, Healthcare Sector, H IM MR PLM-AW CARD, Erlangan, Germany;Siemens AG, Healthcare Sector, H IM MR PLM-AW CARD, Erlangan, Germany;Siemens Medical Solutions USA, Chicago IL;Siemens Medical Solutions Canada, Winnipeg MB, Canada;Image Analytics and Informatics, Siemens Corporate Research, Princeton NJ;National Institutes of Health, Bethesda MD;Siemens AG, Healthcare Sector, H IM MR PLM-AW CARD, Erlangan, Germany;Siemens AG, Healthcare Sector, H IM MR PLM-AW CARD, Erlangan, Germany
Venue:
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Year:
2011

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Abstract

Conventional cardiac MRI acquisition involves a multistep approach, requiring a few double-oblique localizers in order to locate the heart and prescribe long- and short-axis views of the heart. This approach is operator-dependent and time-consuming. We propose a new approach to automating and accelerating the acquisition process to improve the clinical workflow. We capture a highly accelerated static 3D full-chest volume through parallel imaging within one breath-hold. The left ventricle is localized and segmented, including left ventricle outflow tract. A number of cardiac landmarks are then detected to anchor the cardiac chambers and calculate standard 2-, 3-, and 4-chamber long-axis views along with a short-axis stack. Learning-based algorithms are applied to anatomy segmentation and anchor detection. The proposed algorithm is evaluated on 173 localizer acquisitions. The entire view planning is fully automatic and takes less than 10 seconds in our experiments.