Research Papers: Imaging

Comparison of procedures for co-registering scalp-recording locations to anatomical magnetic resonance images

[+] Author Affiliations
Antonio M. Chiarelli

University of Illinois, Beckman Institute, 405 North Mathews Avenue, Urbana, Illinois 61801, United States

Edward L. Maclin

University of Illinois, Beckman Institute, 405 North Mathews Avenue, Urbana, Illinois 61801, United States

Kathy A. Low

University of Illinois, Beckman Institute, 405 North Mathews Avenue, Urbana, Illinois 61801, United States

Monica Fabiani

University of Illinois, Beckman Institute, 405 North Mathews Avenue, Urbana, Illinois 61801, United States

University of Illinois, Psychology Department, 405 North Mathews Avenue, Urbana, Illinois 61801, United States

Gabriele Gratton

University of Illinois, Beckman Institute, 405 North Mathews Avenue, Urbana, Illinois 61801, United States

University of Illinois, Psychology Department, 405 North Mathews Avenue, Urbana, Illinois 61801, United States

J. Biomed. Opt. 20(1), 016009 (Jan 09, 2015). doi:10.1117/1.JBO.20.1.016009
History: Received October 23, 2014; Accepted December 1, 2014
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Abstract.  Functional brain imaging techniques require accurate co-registration to anatomical images to precisely identify the areas being activated. Many of them, including diffuse optical imaging, rely on scalp-placed recording sensors. Fiducial alignment is an effective and rapid method for co-registering scalp sensors onto anatomy, but is quite sensitive to placement errors. Surface Euclidean distance minimization using the Levenberq-Marquart algorithm (LMA) has been shown to be very accurate when based on good initial guesses, such as precise fiducial alignment, but its accuracy drops substantially with fiducial placement errors. Here we compared fiducial and LMA co-registration methods to a new procedure, the iterative closest point-to-plane (ICP2P) method, using simulated and real data. An advantage of ICP2P is that it eliminates the need to identify fiducials and is, therefore, entirely automatic. We show that, typically, ICP2P is as accurate as fiducial-based LMA, but is less sensitive to initial placement errors. However, ICP2P is more sensitive to spatially correlated noise in the description of the head surface. Hence, the best technique for co-registration depends on the type of data available to describe the scalp and the surface defined by the recording sensors. Under optimal conditions, co-registration error using surface-fitting procedures can be reduced to 3mm.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Antonio M. Chiarelli ; Edward L. Maclin ; Kathy A. Low ; Monica Fabiani and Gabriele Gratton
"Comparison of procedures for co-registering scalp-recording locations to anatomical magnetic resonance images", J. Biomed. Opt. 20(1), 016009 (Jan 09, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.1.016009


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