Automatic landmarking of magnetic resonance brain images

Camille Izard; Bruno M. Jedynak; Craig E. L. Stark

doi:10.1117/12.594667

29 April 2005 Automatic landmarking of magnetic resonance brain images

Camille Izard, Bruno M. Jedynak, Craig E. L. Stark

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.594667
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

Landmarking MR images is crucial in registering brain structures from different images. It consists in locating the voxel in the image that corresponds to a well-defined point in the anatomy, called the landmark. Example of landmarks are the apex of the head (HoH) of Hippocampus, the tail and the tip of the splenium of the corpus collosum (SCC). Hand landmarking is tedious and time-consuming. It requires an adequate training. Experimental studies show that the results are dependent on the landmarker and drifting with time. We propose a generic algorithm performing automated detection of landmarks. The first part consists in learning from a training set of landmarked images the parameters of a probabilistic model, using the EM algorithm. The second part inputs the estimated parameters and a new image, and outputs a voxel as a predicted location for the landmark. The algorithm is demonstrated on the HoH and the SCC. In contrast with competing approaches, the algorithm is generic: it can be used to detect any landmark, given a hand-labeled training set of images.

Citation Download Citation

Camille Izard, Bruno M. Jedynak, and Craig E. L. Stark "Automatic landmarking of magnetic resonance brain images", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.594667

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