Stable and convenient spatial registration of stand-alone NIRS data through anchor-based probabilistic registration

• Published in: Neuroscience research Vol. 72; no. 2; pp. 163 - 171
• Main Authors: Tsuzuki, Daisuke, Cai, Dong-sheng, Dan, Haruka, Kyutoku, Yasushi, Fujita, Akifumi, Watanabe, Eiju, Dan, Ippeita
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier Ireland Ltd 01.02.2012
• Subjects: Algorithms; Atlas-based registration; Brain Mapping - methods; Diffused optical imaging; Humans; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Models, Theoretical; Optical topography; Spectroscopy, Near-Infrared - methods; Transcranial neuroimaging; Virtual registration; Atlas-based registration; Transcranial neuroimaging; Optical topography; Virtual registration; Diffused optical imaging
• ISSN: 0168-0102; 1872-8111; 1872-8111
• DOI: 10.1016/j.neures.2011.10.008

► We revised the method for probabilistically registering the NIRS data onto MNI space. ► Anchor-based registration is MRI-free utilizing roughly obtained anchor positions on the scalp. ► Anchor-based registration was as accurate as the conventional method but easier to handle. ► Anchor-based registration will be a less restrictive and quicker practical alternative. For functional neuroimaging with near-infrared spectroscopy (NIRS), we recently introduced a probabilistic registration method that uses a reference magnetic resonance image (MRI) database instead of the subject's own MRI, and probabilistically registers the NIRS optode or channel positions onto a canonical brain template in the standard stereotactic brain coordinate systems. As an alternative method, we devised an anchor-based registration method utilizing roughly obtained anchor positions on the scalp instead of strictly defined landmarks such as 10/20 landmarks. This method uses a spherical coordinate system to seek a position in the reference MRI database that corresponds to the anchor position, and eventually presents NIRS optode and channel positions in the standard stereotactic brain coordinate system. For comparison against conventional probabilistic registration, we simulated NIRS optode holder placement on 100 synthesized virtual heads, and found holistic tendencies for probe position estimations were similar between the two methods. Comparison among anchor-based probabilistic registration, conventional probabilistic registration, and SPM-based registration via co-registration to a subject's own MRI revealed that intra-method variability was comparable to a small inter-method variability. Thus, anchor-based registration is a practical alternative, especially to avoid burdening a subject and to reduce experimental time.