Feature-Based Non-rigid Registration of Serial Section Images by Blending Rigid Transformations

In this paper, we propose a novel noniterative algorithm to simultaneously estimate optimal rigid transformations for serial section images, which is a key component in performing volume reconstructions of serial sections of biological tissue. To avoid the error accumulation and propagation caused by current algorithms, we add an extra condition: that the positions of the first and last section images should remain unchanged. This constrained simultaneous registration problem has not previously been solved. Our solution is noniterative; thus, it can simultaneously compute rigid transformations for a large number of serial section images in a short time. We demonstrate that our algorithm obtains optimal solutions under ideal conditions and shows great robustness under nonideal circumstances. Further, we experimentally show that our algorithm outperforms state-of-the-art methods in terms of speed and accuracy.

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Non-rigid registration of serial section images by blending transforms for 3D reconstruction

Pattern Recognition ◽

10.1016/j.patcog.2019.07.001 ◽

2019 ◽

Vol 96 ◽

pp. 106956 ◽

Cited By ~ 2

Author(s):

Takehiro Kajihara ◽

Takuya Funatomi ◽

Haruyuki Makishima ◽

Takahito Aoto ◽

Hiroyuki Kubo ◽

...

Keyword(s):

3D Reconstruction ◽

Serial Section ◽

Rigid Registration

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Cell morphology, volume, and surface area determinations from multilevel contouring within HVEM micrographs of serial sections and whole-cell mounts

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100127426 ◽

1987 ◽

Vol 45 ◽

pp. 588-589

Author(s):

M. Marko ◽

A. Leith ◽

D. Parsons

Keyword(s):

Surface Area ◽

Electron Micrographs ◽

Cell Morphology ◽

Individual Variation ◽

Serial Section ◽

Stereo Pair ◽

Complex Structures ◽

Serial Sections ◽

Surface Areas ◽

Computer Based

The use of serial sections and computer-based 3-D reconstruction techniques affords an opportunity not only to visualize the shape and distribution of the structures being studied, but also to determine their volumes and surface areas. Up until now, this has been done using serial ultrathin sections.The serial-section approach differs from the stereo logical methods of Weibel in that it is based on the Information from a set of single, complete cells (or organelles) rather than on a random 2-dimensional sampling of a population of cells. Because of this, it can more easily provide absolute values of volume and surface area, especially for highly-complex structures. It also allows study of individual variation among the cells, and study of structures which occur only infrequently.We have developed a system for 3-D reconstruction of objects from stereo-pair electron micrographs of thick specimens.

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