A deformable digital brain atlas system according to Talairach and Tournoux

Ganser, Klaus A.; Dickhaus, Hartmut; Metzner, R.; Wirtz, Christian Rainer

doi:10.1016/j.media.2003.06.001

Cited by 82 publications

(57 citation statements)

References 32 publications

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“…Kimura and Otsuki (1993) extracted all surfaces via surface tiling of the contours. Niemann et al (2000) and Ganser et al (2004) interpolated additional sections prior to surface extraction.…”

Section: Introductionmentioning

confidence: 99%

A mean three-dimensional atlas of the human thalamus: Generation from multiple histological data

et al. 2010

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Section: Introductionmentioning

confidence: 99%

A mean three-dimensional atlas of the human thalamus: Generation from multiple histological data

et al. 2010

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“…In 1987Yoshida (Yoshida, 1987 focused on extracting a three-dimensional volume from the great histological slices obtained by Schaltenbrand and Bailey (Schaltenbrand & Bailey, 1959). In the following years, other authors created threedimensional atlases based on the most-consulted printed atlases, using computational technology (Nowinski et al,1997;St-Jean et al,1998;Nowinski & Belov, 2003;Ganser et al, 2004;Carballo-Barreda et al, 2007). However, some inaccuracies on the original atlases led to great 3D inconsistencies (Nieman et al, 1994;Nowinski et al, 2006aNowinski et al, , 2006b).…”

Section: Correcting Tissue Processing-induced Errorsmentioning

confidence: 99%

Review of Printed and Electronic Stereotactic Atlases of the Human Brain

Alho¹,

Grinberg²,

Heinsen³

et al. 2011

Neuroimaging for Clinicians - Combining Research and Practice

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“…It is an important part of image analysis and used in several disciplines. In the medical field, image registration is a key component in several areas including the fusion of morphologic and functional images [1]; image subtraction [2]; intervention planning [3]; computeraided diagnosis (CAD) and treatment follow-up [4]; intervention simulations [5]; atlas building [6][7][8]; radiation therapy [9]; model-based segmentation [10]; and computational model building [11].…”

Section: Introductionmentioning

confidence: 99%

Survey of Non-Rigid Registration Tools in Medicine

2016

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We catalogue available software solutions for non-rigid image registration to support scientists in selecting suitable tools for specific medical registration purposes. Registration tools were identified using nonsystematic search in Pubmed, Web of Science, IEEE Xplore® Digital Library, Google Scholar, and through references in identified sources (n = 22). Exclusions are due to unavailability or inappropriateness. The remaining (n = 18) tools were classified by (i) access and technology, (ii) interfaces and application, (iii) living community, (iv) supported file formats, and (v) types of registration methodologies emphasizing the similarity measures implemented. Out of the 18 tools, (i) 12 are open source, 8 are released under a permissive free license, which imposes the least restrictions on the use and further development of the tool, 8 provide graphical processing unit (GPU) support; (ii) 7 are built on software platforms, 5 were developed for brain image registration; (iii) 6 are under active development but only 3 have had their last update in 2015 or 2016; (iv) 16 support the Analyze format, while 7 file formats can be read with only one of the tools; and (v) 6 provide multiple registration methods and 6 provide landmark-based registration methods. Based on open source, licensing, GPU support, active community, several file formats, algorithms, and similarity measures, the tools Elastics and Plastimatch are chosen for the platform ITK and without platform requirements, respectively. Researchers in medical image analysis already have a large choice of registration tools freely available. However, the most recently published algorithms may not be included in the tools, yet.

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A deformable digital brain atlas system according to Talairach and Tournoux

Cited by 82 publications

References 32 publications

A mean three-dimensional atlas of the human thalamus: Generation from multiple histological data

A mean three-dimensional atlas of the human thalamus: Generation from multiple histological data

Review of Printed and Electronic Stereotactic Atlases of the Human Brain

Survey of Non-Rigid Registration Tools in Medicine

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