Automated planning of scan geometries in spine MRI scans

Authors:
Vladimir Pekar;Daniel Bystrov;Harald S. Heese;Sebastian P. M. Dries;Stefan Schmidt;Rüdiger Grewer;Chiel J. Den Harder;René C. Bergmans;Arjan W. Simonetti;Arianne M. Van Muiswinkel
Affiliations:
Philips Medical Systems, Markham, ON, Canada and Philips Research Europe, Hamburg, Germany;Philips Research Europe, Hamburg, Germany;Philips Research Europe, Hamburg, Germany;Philips Research Europe, Hamburg, Germany;Philips Research Europe, Hamburg, Germany and University of Mannheim, Germany;Philips Research Europe, Hamburg, Germany;Philips Medical Systems, Best, The Netherlands;Philips Medical Systems, Best, The Netherlands;Philips Medical Systems, Best, The Netherlands;Philips Medical Systems, Best, The Netherlands
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

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Machine Vision and Applications

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Abstract

Consistency of MR scan planning is very important for diagnosis, especially in multi-site trials and follow-up studies, where disease progress or response to treatment is evaluated. Accurate manual scan planning is tedious and requires skillful operators. On the other hand, automated scan planning is difficult due to relatively low quality of survey images ("scouts") and strict processing time constraints. This paper presents a novel method for automated planning of MRI scans of the spine. Lumbar and cervical examinations are considered, although the proposed method is extendible to other types of spine examinations, such as thoracic or total spine imaging. The automated scan planning (ASP) system consists of an anatomy recognition part, which is able to automatically detect and label the spine anatomy in the scout scan, and a planning part, which performs scan geometry planning based on recognized anatomical landmarks. A validation study demonstrates the robustness of the proposed method and its feasibility for clinical use.