Piecewise Affine Registration of Biological Images

@inproceedings{Pitiot2003PiecewiseAR,
  title={Piecewise Affine Registration of Biological Images},
  author={Alain Pitiot and Gr{\'e}goire Malandain and {\'E}ric Bardinet and Paul M. Thompson},
  booktitle={WBIR},
  year={2003}
}
his manuscript tackles the registration of 2D biological images (histological sections or autoradiographs) to 2D images from the same or different modalities (e.g., histology or MRI). The process of acquiring these images typically induces composite transformations that can be modeled as a number of rigid or affine local transformations embedded in an elastic one. We propose a registration approach closely derived from this model. Given a pair of input images, we first compute a dense… 

Volumetric image analysis: optical flow, registration and segmentation

TLDR
A study of the fundamental problems of motion estimation and automatic registration of volumetric medical images to find how to improve the performance of registration in terms of both accuracy and efficiency.

3D Functional Models of Monkey Brain Through Elastic Registration of Histological Sections

TLDR
A method for the reconstruction and visualization of functional models of monkey brains built through the registration of high resolution images obtained from the scanning of histological sections with reference photos taken during the brain slicing is described.

Large Deformation Diffeomorphic Metric Mapping Registration of Reconstructed 3D Histological Section Images and in vivo MR Images

TLDR
The utility of the multistage registration method in the transfer of cytoarchitectonic information from histological sections to identify regions of interest in MRI scans of nine adult macaque brains for morphometric analyses is demonstrated.

Registration of Brain Atlas to MR Images Using Topology Preserving Front Propagation

TLDR
A non-rigid registration method, in which, a block matching method is first used to calculate boundary displacement of all structures in a brain atlas, and a topology preserving front propagation method is then used to deform the atlas by warping the structures according to their boundary displacements.

3D volume reconstruction of a mouse brain from histological sections using warp filtering

Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient

TLDR
An efficient groupwise registration approach is presented, which yields consistent volumetric reconstruction and yet runs equally fast as pairwise registration, and yields globally more consistent reconstruction.

Nonlinear Intra-Modality Registration of Medical Volume Data

TLDR
This thesis reviews the large body of literature on nonlinear intra-modality registration with a special focus on CT image registration applications involving brain and thorax and proposes a framework to compare algorithms on synthetically deformed and clinical data.

Multi-modal matching of 2 D images with 3 D medical data

TLDR
A computationally efficient automatic approach to match 2D histological images to 3D micro Computed Tomography data in combination with a density-driven RANSAC plane-fitting allows efficient localization of the histology images in the 3D data within less than four minutes.

Building a 3d atlas of the mouse brain

TLDR
This thesis describes how to construct a high-resolution 3D atlas of the mouse brain from 2D microscopic images using computer graphics techniques and polygonal modeling to build surfaces representing the partitioning of anatomical regions.

Anatomically Guided Registration for Multimodal Images

TLDR
The experiment was successful in proving that decoupling transformations improves the overall registration quality, and simple anatomically guided approach for whole body image registration offers enhanced alignment of large coverage inter-scan studies.
...

References

SHOWING 1-10 OF 24 REFERENCES

Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models

TLDR
A deformable surface algorithm is used to find a parametric representation of the outer cortical surface and then to define a map between corresponding cortical regions in two brain images, which brings two images into register based on elastically deformable models.

Medical image registration.

TLDR
Applications of image registration include combining images of the same subject from different modalities, aligning temporal sequences of images to compensate for motion of the subject between scans, image guidance during interventions and aligning images from multiple subjects in cohort studies.

Registration of serial transverse sections of muscle fibers.

TLDR
By using robust elastic registration methods, the automatic registration of serial transverse muscle fiber images seems feasible and might allow automatic muscle fiber typing, and consequently, improve the characterization of skeletal muscles.

Consistent Linear-Elastic Transformations for Image Matching

TLDR
It is shown that joint estimation of a consistent set of forward and reverse transformations constrained by linear-elasticity gives better registration results than using either constraint alone or none at all.

Deformations Incorporating Rigid Structures

TLDR
A new technique is developed that allows identified objects in the image to move as rigid bodies, while the remainder smoothly deforms, valid in any dimension, subject to the choice of the basis function.

Unifying maximum likelihood approaches in medical image registration

TLDR
This paper clarifies the assumptions on which a number of popular similarity measures rely and shows that the search for an optimal measure can be cast into a maximum likelihood estimation problem.

A Comparison of Simularity Measures for use in 2D-3D Medical Image Registration

TLDR
Results show that the introduction of soft tissue structures and interventional instruments into the phantom image can have a large effect on the performance of some similarity measures previously applied to 2D-3D image registration.

Elastically Deforming 3D Atlas to Match Anatomical Brain Images

TLDR
To evaluate the system for elastically deforming a three-dimensional atlas to match anatomical brain images, six deformed versions of an atlas were generated and the accuracy of the resultant matches was evaluated.

A comparison of similarity measures for use in 2-D-3-D medical image registration

TLDR
Results show that the introduction of soft-tissue structures and interventional instruments into the phantom image can have a large effect on the performance of some similarity measures previously applied to 2-D-3-D image registration.