Adaptive multiresolution method for MAP reconstruction in electron tomography
| Autor: | Ulla Ruotsalainen, Erman Acar, Sari Peltonen |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Electron Microscope Tomography Computer science Computation Multiresolution reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Iterative reconstruction Regularization (mathematics) Imaging phantom Article 03 medical and health sciences Imaging Three-Dimensional Expectation–maximization algorithm Maximum a posteriori estimation Image Processing Computer-Assisted Regularization parameter Instrumentation Phantoms Imaging Maximum a posteriori (MAP) reconstruction Electron tomography (ET) Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Adaptive reconstruction 030104 developmental biology Electron tomography Missing wedge Algorithm Algorithms |
| Zdroj: | Ultramicroscopy |
| ISSN: | 1879-2723 0304-3991 |
| Popis: | 3D image reconstruction with electron tomography holds problems due to the severely limited range of projection angles and low signal to noise ratio of the acquired projection images. The maximum a posteriori (MAP) reconstruction methods have been successful in compensating for the missing information and suppressing noise with their intrinsic regularization techniques. There are two major problems in MAP reconstruction methods: (1) selection of the regularization parameter that controls the balance between the data fidelity and the prior information, and (2) long computation time. One aim of this study is to provide an adaptive solution to the regularization parameter selection problem without having additional knowledge about the imaging environment and the sample. The other aim is to realize the reconstruction using sequences of resolution levels to shorten the computation time. The reconstructions were analyzed in terms of accuracy and computational efficiency using a simulated biological phantom and publically available experimental datasets of electron tomography. The numerical and visual evaluations of the experiments show that the adaptive multiresolution method can provide more accurate results than the weighted back projection (WBP), simultaneous iterative reconstruction technique (SIRT), and sequential MAP expectation maximization (sMAPEM) method. The method is superior to sMAPEM also in terms of computation time and usability since it can reconstruct 3D images significantly faster without requiring any parameter to be set by the user. Highlights • An adaptive multiresolution reconstruction method is introduced for electron tomography. • The method provides more accurate results than the conventional reconstruction methods. • The missing wedge and noise problems can be compensated by the method efficiently. |
| Databáze: | OpenAIRE |
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