Literature DB >> 18215807

Statistics of deformations in histology and application to improved alignment with MRI.

T Schormann1, A Dabringhaus, K Zilles.   

Abstract

An exact registration of magnetic resonance images (MRI) with histological sections is impeded by local deformations resulting from histological preparation procedures. Therefore, it is desirable to know the probability density function of spatial deformations in order to estimate optimal global least-square transformation parameters from suitable landmarks. For this reason, the statistics of deformations is investigated. It is shown analytically that the frequency of occurrence of the absolute geometrical differences (deformations) are Rayleigh-Bessel distributed for anisotropic histological preparation procedures and Rayleigh distributed in the case of isotropic procedures. The probabilistic analysis is given in conjunction with an iterative optimization technique in order to ensure that the probability density function is within a threshold required for the application to experimental data. The application of the analytical model is investigated with real data. It is shown with this data that the extent of deformations varies with the size of the histological section. An individual threshold can be selected on the basis of a Rayleigh-function restricting local corrections to small parts of the image. Thus, global misalignment in each section can be avoided, resulting in an improved 3-D reconstruction of the volume, i.e., the transitions from one section to the next are more continuous.

Entities:  

Year:  1995        PMID: 18215807     DOI: 10.1109/42.370399

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  12 in total

1.  Three-dimensional linear and nonlinear transformations: an integration of light microscopical and MRI data.

Authors:  T Schormann; K Zilles
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

2.  A four-dimensional probabilistic atlas of the human brain.

Authors:  J Mazziotta; A Toga; A Evans; P Fox; J Lancaster; K Zilles; R Woods; T Paus; G Simpson; B Pike; C Holmes; L Collins; P Thompson; D MacDonald; M Iacoboni; T Schormann; K Amunts; N Palomero-Gallagher; S Geyer; L Parsons; K Narr; N Kabani; G Le Goualher; J Feidler; K Smith; D Boomsma; H Hulshoff Pol; T Cannon; R Kawashima; B Mazoyer
Journal:  J Am Med Inform Assoc       Date:  2001 Sep-Oct       Impact factor: 4.497

3.  An alternative approach to histopathological validation of PET imaging for radiation therapy image-guidance: a proof of concept.

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4.  Evaluation of coils for imaging histological slides: signal-to-noise ratio and filling factor.

Authors:  Dung Minh Hoang; Evelyn B Voura; Chao Zhang; Latifa Fakri-Bouchet; Youssef Zaim Wadghiri
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5.  Towards ultra-high resolution fibre tract mapping of the human brain - registration of polarised light images and reorientation of fibre vectors.

Authors:  Christoph Palm; Markus Axer; David Gräßel; Jürgen Dammers; Johannes Lindemeyer; Karl Zilles; Uwe Pietrzyk; Katrin Amunts
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6.  Large Deformation Diffeomorphic Metric Mapping Registration of Reconstructed 3D Histological Section Images and in vivo MR Images.

Authors:  Can Ceritoglu; Lei Wang; Lynn D Selemon; John G Csernansky; Michael I Miller; J Tilak Ratnanather
Journal:  Front Hum Neurosci       Date:  2010-05-28       Impact factor: 3.169

7.  Custom fit 3D-printed brain holders for comparison of histology with MRI in marmosets.

Authors:  Joseph R Guy; Pascal Sati; Emily Leibovitch; Steven Jacobson; Afonso C Silva; Daniel S Reich
Journal:  J Neurosci Methods       Date:  2015-09-10       Impact factor: 2.390

8.  Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI.

Authors:  Daniel H Adler; John Pluta; Salmon Kadivar; Caryne Craige; James C Gee; Brian B Avants; Paul A Yushkevich
Journal:  Neuroimage       Date:  2013-09-12       Impact factor: 6.556

9.  Co-registration of In-Vivo Human MRI Brain Images to Postmortem Histological Microscopic Images.

Authors:  M Singh; A Rajagopalan; T-S Kim; D Hwang; H Chui; X-L Zhang; A-Y Lee; C Zarow
Journal:  Int J Imaging Syst Technol       Date:  2008       Impact factor: 2.000

10.  Slice-to-Volume Nonrigid Registration of Histological Sections to MR Images of the Human Brain.

Authors:  Sergey Osechinskiy; Frithjof Kruggel
Journal:  Anat Res Int       Date:  2010-12-12
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