Incorporating Prior Knowledge into Image Registration
The first step in the spatial normalization of brain images is usually to determine the affine transformation that best maps the image to a template image in a standard space. We have developed a rapid and automatic method for performing this registration, which uses a Bayesian scheme to incorporate...
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| Veröffentlicht in: | NeuroImage (Orlando, Fla.) Fla.), 1997-11, Vol.6 (4), p.344-352 |
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| container_title | NeuroImage (Orlando, Fla.) |
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| creator | Ashburner, J. Neelin, P. Collins, D.L. Evans, A. Friston, K. |
| description | The first step in the spatial normalization of brain images is usually to determine the affine transformation that best maps the image to a template image in a standard space. We have developed a rapid and automatic method for performing this registration, which uses a Bayesian scheme to incorporate prior knowledge of the variability in the shape and size of heads. We compared affine registrations with and without incorporating the prior knowledge. We found that the affine transformations derived using the Bayesian scheme are much more robust and that the rate of convergence is greater. |
| doi_str_mv | 10.1006/nimg.1997.0299 |
| format | Article |
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We found that the affine transformations derived using the Bayesian scheme are much more robust and that the rate of convergence is greater.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Bayes Theorem</subject><subject>Brain Mapping</subject><subject>Cephalometry</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Male</subject><subject>Mathematical Computing</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kM1LxDAQxYMo67p69Sb05K012Wya5CiLH8UFRfQc0mRaIm2yJl3F_96WXbx5mgfvzWPmh9AlwQXBuLzxrm8LIiUv8FLKIzQnWLJcMr48njSjuSBEnqKzlD4wxpKsxAzN5Ipwycs5YpU3IW5D1IPzbfYSXYjZkw_fHdgWMueHkFW9HuUrtC4NUy74c3TS6C7BxWEu0Pv93dv6Md88P1Tr201uKJVDDqWlNauXghFbguTUSluO5zVY1LykjDHaYF1qIRsrNKsZWCAN0yAMaYQmdIGu973bGD53kAbVu2Sg67SHsEuKS4b52DMGi33QxJBShEZto-t1_FEEq4mTmjipiZOaOI0LV4fmXd2D_YsfwIy-2PswvvflIKpkHHgD1kUwg7LB_Vf9C56ld0g</recordid><startdate>19971101</startdate><enddate>19971101</enddate><creator>Ashburner, J.</creator><creator>Neelin, P.</creator><creator>Collins, D.L.</creator><creator>Evans, A.</creator><creator>Friston, K.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>19971101</creationdate><title>Incorporating Prior Knowledge into Image Registration</title><author>Ashburner, J. ; Neelin, P. ; Collins, D.L. ; Evans, A. ; Friston, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-e6d3b5b2851d6e973d9d6095f08b7635553f0a6a89fd8a5b5ede1f5ae8c1f8a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Bayes Theorem</topic><topic>Brain Mapping</topic><topic>Cephalometry</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Male</topic><topic>Mathematical Computing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ashburner, J.</creatorcontrib><creatorcontrib>Neelin, P.</creatorcontrib><creatorcontrib>Collins, D.L.</creatorcontrib><creatorcontrib>Evans, A.</creatorcontrib><creatorcontrib>Friston, K.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ashburner, J.</au><au>Neelin, P.</au><au>Collins, D.L.</au><au>Evans, A.</au><au>Friston, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Incorporating Prior Knowledge into Image Registration</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>1997-11-01</date><risdate>1997</risdate><volume>6</volume><issue>4</issue><spage>344</spage><epage>352</epage><pages>344-352</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>The first step in the spatial normalization of brain images is usually to determine the affine transformation that best maps the image to a template image in a standard space. 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| ispartof | NeuroImage (Orlando, Fla.), 1997-11, Vol.6 (4), p.344-352 |
| issn | 1053-8119 1095-9572 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_79507355 |
| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Adolescent Adult Algorithms Bayes Theorem Brain Mapping Cephalometry Female Humans Image Processing, Computer-Assisted Male Mathematical Computing |
| title | Incorporating Prior Knowledge into Image Registration |
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