| 001 | 139298 | ||
| 005 | 20240529141902.0 | ||
| 024 | 7 | _ | |a 10.1016/j.neuroimage.2017.02.055 |2 doi |
| 024 | 7 | _ | |a pmid:28242316 |2 pmid |
| 024 | 7 | _ | |a pmc:PMC5432428 |2 pmc |
| 024 | 7 | _ | |a 1053-8119 |2 ISSN |
| 024 | 7 | _ | |a 1095-9572 |2 ISSN |
| 024 | 7 | _ | |a altmetric:17042918 |2 altmetric |
| 037 | _ | _ | |a DZNE-2020-05620 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Aganj, Iman |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Mid-space-independent deformable image registration. |
| 260 | _ | _ | |a Orlando, Fla. |c 2017 |b Academic Press |
| 264 | _ | 1 | |3 print |2 Crossref |b Elsevier BV |c 2017-05-01 |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1715605713_2123 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Aligning images in a mid-space is a common approach to ensuring that deformable image registration is symmetric - that it does not depend on the arbitrary ordering of the input images. The results are, however, generally dependent on the mathematical definition of the mid-space. In particular, the set of possible solutions is typically restricted by the constraints that are enforced on the transformations to prevent the mid-space from drifting too far from the native image spaces. The use of an implicit atlas has been proposed as an approach to mid-space image registration. In this work, we show that when the atlas is aligned to each image in the native image space, the data term of implicit-atlas-based deformable registration is inherently independent of the mid-space. In addition, we show that the regularization term can be reformulated independently of the mid-space as well. We derive a new symmetric cost function that only depends on the transformation morphing the images to each other, rather than to the atlas. This eliminates the need for anti-drift constraints, thereby expanding the space of allowable deformations. We provide an implementation scheme for the proposed framework, and validate it through diffeomorphic registration experiments on brain magnetic resonance images. |
| 536 | _ | _ | |a 345 - Population Studies and Genetics (POF3-345) |0 G:(DE-HGF)POF3-345 |c POF3-345 |f POF III |x 0 |
| 542 | _ | _ | |i 2017-05-01 |2 Crossref |u https://www.elsevier.com/tdm/userlicense/1.0/ |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 650 | _ | 2 | |a Algorithms |2 MeSH |
| 650 | _ | 2 | |a Atlases as Topic |2 MeSH |
| 650 | _ | 2 | |a Brain: anatomy & histology |2 MeSH |
| 650 | _ | 2 | |a Brain Mapping: methods |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Imaging, Three-Dimensional |2 MeSH |
| 650 | _ | 2 | |a Magnetic Resonance Imaging |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Middle Aged |2 MeSH |
| 650 | _ | 2 | |a Signal Processing, Computer-Assisted |2 MeSH |
| 700 | 1 | _ | |a Iglesias, Juan Eugenio |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Reuter, Martin |0 P:(DE-2719)2812134 |b 2 |u dzne |
| 700 | 1 | _ | |a Sabuncu, Mert Rory |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Fischl, Bruce |0 P:(DE-HGF)0 |b 4 |
| 773 | 1 | 8 | |a 10.1016/j.neuroimage.2017.02.055 |b : Elsevier BV, 2017-05-01 |p 158-170 |3 journal-article |2 Crossref |t NeuroImage |v 152 |y 2017 |x 1053-8119 |
| 773 | _ | _ | |a 10.1016/j.neuroimage.2017.02.055 |g Vol. 152, p. 158 - 170 |0 PERI:(DE-600)1471418-8 |q 152<158 - 170 |p 158-170 |t NeuroImage |v 152 |y 2017 |x 1053-8119 |
| 856 | 7 | _ | |2 Pubmed Central |u http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432428 |
| 856 | 4 | _ | |u https://pub.dzne.de/record/139298/files/DZNE-2020-05620_Restricted.pdf |
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| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 2 |6 P:(DE-2719)2812134 |
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