Comparison of 3D reconstruction methods based on different cardiovascular imaging: a study of multimodality reconstruction method

Mixed Reality (MR) is a technology which enable to bring a virtual element into the real-world environment. MR intends to improve reality on the virtual world immerse onto real-world space. Occasionally the MR has been improved as the display technologies advanced progressively. In MR collaborative interface context, the local and remote user work together on collaborative task while sense the immersive environment in the cooperative application. User telepresence is an immersive telepresence, where the reconstruction of a human appears in a real-life. Up till now, producing full telepresence of the life-size human body may require a high transmission bandwidth of the internet. Therefore, this paper explores on a robust real-time 3D reconstruction method for MR telepresence. This paper discusses the previous works on the reconstruction method of a full-body human and the existing research works that have proposed the reconstruction methods for telepresence. Besides the 3D reconstruction method, this paper also enlightens our recent finding on the MR framework to transport a full-body human from a local location to a remote location. The MR telepresence will be discussed, as well as the robust 3D reconstruction method which has been implemented with user telepresence feature where the user experiences an accurate 3D representation of a remote person. The paper ends with the discussion and results, MR telepresence with robust 3D reconstruction method to execute user telepresence.

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A Multi-Perspective 3D Reconstruction Method with Single Perspective Instantaneous Target Attitude Estimation

Remote Sensing ◽

10.3390/rs11111277 ◽

2019 ◽

Vol 11 (11) ◽

pp. 1277

Author(s):

Dan Xu ◽

Mengdao Xing ◽

Xiang-Gen Xia ◽

Guang-Cai Sun ◽

Jixiang Fu ◽

...

Keyword(s):

3D Reconstruction ◽

Matrix Factorization ◽

Three Dimensional ◽

Single Layer ◽

Factorization Method ◽

Attitude Estimation ◽

Reconstruction Method ◽

Limited Information ◽

Radar Images ◽

Reconstruction Methods

Due to the limited information of two-dimensional (2D) radar images, the study of three-dimensional (3D) radar image reconstruction has received significant attention. However, the target attitude obtained by the existing 3D reconstruction methods is unknown. In addition, using a single perspective, one can only get 3D reconstruction result of a simple target. For a complex target, due to occlusion and scattering characteristics, 3D reconstruction information obtained from a single perspective is limited. To tackle the above two problems, this paper proposes a new method for multi-perspective 3D reconstruction and single perspective instantaneous target attitude estimation. This method consists of three steps. First, the result of 3D reconstruction with unknown attitude is obtained by the traditional matrix factorization method. Then, in order to obtain the attitude of a target 3D reconstruction, additional constraints are added to the projection vectors which are computed from the matrix factorization method. Finally, the information from different perspectives are merged into a single layer information according to certain rules. After the information fusion, a multi-perspective 3D reconstruction structure with better visibility and more information is obtained. Simulation results have proved the effectiveness and robustness of the proposed method.

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Structural Studies on the Eukaryotic Ribosome

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100180033 ◽

1990 ◽

Vol 48 (1) ◽

pp. 256-257

Author(s):

Adriana Verschoor ◽

Ronald Milligan ◽

Suman Srivastava ◽

Joachim Frank

Keyword(s):

Chick Embryo ◽

3D Reconstruction ◽

Single Particle ◽

Mass Density ◽

Particle Surface ◽

Uranyl Acetate ◽

Electron Microscopic ◽

Eukaryotic Ribosome ◽

Negative Stain ◽

Reconstruction Methods

We have studied the eukaryotic ribosome from two vertebrate species (rabbit reticulocyte and chick embryo ribosomes) in several different electron microscopic preparations (Fig. 1a-d), and we have applied image processing methods to two of the types of images. Reticulocyte ribosomes were examined in both negative stain (0.5% uranyl acetate, in a double-carbon preparation) and frozen hydrated preparation as single-particle specimens. In addition, chick embryo ribosomes in tetrameric and crystalline assemblies in frozen hydrated preparation have been examined. 2D averaging, multivariate statistical analysis, and classification methods have been applied to the negatively stained single-particle micrographs and the frozen hydrated tetramer micrographs to obtain statistically well defined projection images of the ribosome (Fig. 2a,c). 3D reconstruction methods, the random conical reconstruction scheme and weighted back projection, were applied to the negative-stain data, and several closely related reconstructions were obtained. The principal 3D reconstruction (Fig. 2b), which has a resolution of 3.7 nm according to the differential phase residual criterion, can be compared to the images of individual ribosomes in a 2D tetramer average (Fig. 2c) at a similar resolution, and a good agreement of the general morphology and of many of the characteristic features is seen.Both data sets show the ribosome in roughly the same ’view’ or orientation, with respect to the adsorptive surface in the electron microscopic preparation, as judged by the agreement in both the projected form and the distribution of characteristic density features. The negative-stain reconstruction reveals details of the ribosome morphology; the 2D frozen-hydrated average provides projection information on the native mass-density distribution within the structure. The 40S subunit appears to have an elongate core of higher density, while the 60S subunit shows a more complex pattern of dense features, comprising a rather globular core, locally extending close to the particle surface.

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Global Inhomogeneity Index Evaluation of a DCT-based EIT Lung Imaging

Current Directions in Biomedical Engineering ◽

10.1515/cdbme-2020-3010 ◽

2020 ◽

Vol 6 (3) ◽

pp. 36-39

Author(s):

Rongqing Chen ◽

Knut Möller

Keyword(s):

Classical Method ◽

Lung Imaging ◽

Imaging Method ◽

Reconstruction Method ◽

Essential Information ◽

Preliminary Results ◽

Reconstruction Methods ◽

Comparison Results ◽

Index Evaluation ◽

Inhomogeneity Index

AbstractPurpose: To evaluate a novel structural-functional DCT-based EIT lung imaging method against the classical EIT reconstruction. Method: Taken retrospectively from a former study, EIT data was evaluated using both reconstruction methods. For different phases of ventilation, EIT images are analyzed with respect to the global inhomogeneity (GI) index for comparison. Results: A significant less variant GI index was observed in the DCTbased method, compared to the index from classical method. Conclusion: The DCT-based method generates more accurate lung contour yet decreasing the essential information in the image which affects the GI index. These preliminary results must be consolidated with more patient data in different breathing states.

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Research on 3D Reconstruction Method Based on Temporal Fourier Transform Profilometry

2020 2nd International Conference on Information Technology and Computer Application (ITCA) ◽

10.1109/itca52113.2020.00150 ◽

2020 ◽

Author(s):

Liao Min ◽

Luo weifeng

Keyword(s):

Fourier Transform ◽

3D Reconstruction ◽

Reconstruction Method ◽

Fourier Transform Profilometry

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3D RECONSTRUCTION OF BREAST CANCER FROM MAMMOGRAMS USING VOLUME RENDERING TECHNIQUES

Jurnal Teknologi ◽

10.11113/jt.v75.4978 ◽

2015 ◽

Vol 75 (2) ◽

Author(s):

Ho Wei Yong ◽

Abdullah Bade ◽

Rajesh Kumar Muniandy

Keyword(s):

Breast Cancer ◽

3D Reconstruction ◽

Computational Cost ◽

Reconstruction Method ◽

Cancer Model ◽

Volume Reconstruction ◽

The Past ◽

Breast Cancer Model ◽

Reconstruction Software ◽

To Come

Over the past thirty years, a number of researchers have investigated on 3D organ reconstruction from medical images and there are a few 3D reconstruction software available on the market. However, not many researcheshave focused on3D reconstruction of breast cancer’s tumours. Due to the method complexity, most 3D breast cancer’s tumours reconstruction were done based on MRI slices dataeven though mammogram is the current clinical practice for breast cancer screening. Therefore, this research will investigate the process of creating a method that will be able to reconstruct 3D breast cancer’s tumours from mammograms effectively. Several steps were proposed for this research which includes data acquisition, volume reconstruction, andvolume rendering. The expected output from this research is the 3D breast cancer’s tumours model that is generated from correctly registered mammograms. The main purpose of this research is to come up with a 3D reconstruction method that can produce good breast cancer model from mammograms while using minimal computational cost.

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