TY - GEN
T1 - Evaluation of brain MRI alignment with the robust hausdorff distance measures
AU - Fedorov, Andriy
AU - Billet, Eric
AU - Prastawa, Marcel
AU - Gerig, Guido
AU - Radmanesh, Alireza
AU - Warfield, Simon K.
AU - Kikinis, Ron
AU - Chrisochoides, Nikos
N1 - Funding Information:
This work was supported in part by NSF grants CSI-0719929 and CNS-0312980, and by John Simon Guggenheim Memorial Foundation.
PY - 2008
Y1 - 2008
N2 - We present a novel automated method for assessment of image alignment, applied to non-rigid registration of brain Magnetic Resonance Imaging data (MRI) for image-guided neurosurgery. We propose a number of robust modifications to the Hausdorff distance (HD) metric, and apply it to the edges recovered from the brain MRI to evaluate the accuracy of image alignment. The evaluation results on synthetic images, simulated tumor growth MRI and real neurosurgery data with expert- identified anatomical landmarks, confirm that the accuracy of alignment error estimation is improved compared to the conventional HD. The proposed approach can be used to increase confidence in the registration results, assist in registration parameter selection, and provide local estimates and visual assessment of the registration error.
AB - We present a novel automated method for assessment of image alignment, applied to non-rigid registration of brain Magnetic Resonance Imaging data (MRI) for image-guided neurosurgery. We propose a number of robust modifications to the Hausdorff distance (HD) metric, and apply it to the edges recovered from the brain MRI to evaluate the accuracy of image alignment. The evaluation results on synthetic images, simulated tumor growth MRI and real neurosurgery data with expert- identified anatomical landmarks, confirm that the accuracy of alignment error estimation is improved compared to the conventional HD. The proposed approach can be used to increase confidence in the registration results, assist in registration parameter selection, and provide local estimates and visual assessment of the registration error.
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U2 - 10.1007/978-3-540-89639-5_57
DO - 10.1007/978-3-540-89639-5_57
M3 - Conference contribution
AN - SCOPUS:68649110911
SN - 3540896384
SN - 9783540896388
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 594
EP - 603
BT - Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
T2 - 4th International Symposium on Visual Computing, ISVC 2008
Y2 - 1 December 2008 through 3 December 2008
ER -