DocumentCode :
2572725
Title :
Speeding-up image registration for repetitive motion scenarios
Author :
De Luca, Valeria ; Tanner, Christine ; Székely, Gábor
Author_Institution :
Comput. Vision Lab., ETH Zurich, Zürich, Switzerland
fYear :
2012
fDate :
2-5 May 2012
Firstpage :
1355
Lastpage :
1358
Abstract :
We propose a novel approach for real-time image registration for image sequences of organs subject to repetitive movement, such as breathing. The method exploits the redundancy within the images and consists of a training and an application phase. During training, the images are registered and then the relationship between the image appearance and the spatial transformation is learned by employing dimensionality reduction to the images and storage of the corresponding displacements. For each image in the application phase, the most similar images in the training set are selected for predicting the associated displacements. Registration and update of the training data is only performed for outliers. The method is assessed on 2D sequences (4 MRI, 1 ultrasound) of the liver during free breathing. The performance is evaluated on manually selected landmarks, such as vessel centers and the distal point of the inferior segment. The proposed algorithm is real-time (9 ms per frame) and the prediction error is on average 1.2 mm for both MRI and ultrasound.
Keywords :
biomedical MRI; biomedical ultrasonics; image registration; image segmentation; image sequences; liver; medical image processing; motion estimation; pneumodynamics; training; ultrasonic imaging; MRI; breathing; image sequences; inferior segment; liver; organs; real-time image registration; repetitive motion scenarios; repetitive movement; spatial transformation; speeding-up image registration; time 9 ms; training; ultrasound imaging; vessel centers; Image registration; Liver; Magnetic resonance imaging; Real time systems; Tracking; Training; Ultrasonic imaging; Respiratory motion; image registration; magnetic resonance imaging; tracking; ultrasound imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
ISSN :
1945-7928
Print_ISBN :
978-1-4577-1857-1
Type :
conf
DOI :
10.1109/ISBI.2012.6235817
Filename :
6235817
Link To Document :
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