Tomographic Cherenkov-excited luminescence scanned imaging based on back-projection reconstruction demonstrates 0.3mm spatial resolution for molecular reporter through 2-3cm of tissue

2019 ◽  
Author(s):  
Mengyu Jia ◽  
Xu Cao ◽  
Jason R. Gunn ◽  
Petr Bruza ◽  
Shudong Jiang ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Back Projection ◽  
Projection Reconstruction ◽  
Excited Luminescence

scholarly journals Tomographic Cherenkov-excited luminescence scanned imaging with multiple pinhole beams recovered via back-projection reconstruction

2019 ◽  
Vol 44 (7) ◽  
pp. 1552 ◽  
Author(s):  
Mengyu J. Jia ◽  
Xu Cao ◽  
Jason R. Gunn ◽  
Petr Bruza ◽  
Shudong Jiang ◽  
...  
Keyword(s):  
Back Projection ◽  
Projection Reconstruction ◽  
Excited Luminescence

scholarly journals Enhanced Back-Projection as Postprocessing for Pansharpening

2019 ◽  
Vol 11 (6) ◽  
pp. 712 ◽  
Author(s):  
Junmin Liu ◽  
Jing Ma ◽  
Rongrong Fei ◽  
Huirong Li ◽  
Jiangshe Zhang
Keyword(s):  
Spatial Resolution ◽  
Modulation Transfer Function ◽  
High Spatial Resolution ◽  
Multispectral Image ◽  
Back Projection ◽  
Modulation Transfer ◽  
Panchromatic Image ◽  
Consistency Property ◽  
High Pass ◽  
Satellite Sensor

Pansharpening is the process of integrating a high spatial resolution panchromatic image with a low spatial resolution multispectral image to obtain a multispectral image with high spatial and spectral resolution. Over the last decade, several algorithms have been developed for pansharpening. In this paper, a technique, called enhanced back-projection (EBP), is introduced and applied as postprocessing on the pansharpening. The proposed EBP first enhances the spatial details of the pansharpening results by histogram matching and high-pass modulation, followed by a back-projection process, which takes into account the modulation transfer function (MTF) of the satellite sensor such that the pansharpening results obey the consistency property. The EBP is validated on four datasets acquired by different satellites and several commonly used pansharpening methods. The pansharpening results achieve substantial improvements by this postprocessing technique, which is widely applicable and requires no modification of existing pansharpening methods.

An investigation of filter choice for filtered back-projection reconstruction in PET

1998 ◽  
Vol 45 (3) ◽  
pp. 1133-1137 ◽  
Author(s):  
T.H. Farquhar ◽  
A. Chatziioannou ◽  
G. Chinn ◽  
M. Dahlbom ◽  
E.J. Hoffman
Keyword(s):  
Back Projection ◽  
Filtered Back Projection ◽  
Projection Reconstruction

Simulation Analysis of the Sensitivity in Magnetic Induction Tomography Based on Perturbation Theory

2013 ◽  
Vol 749 ◽  
pp. 371-376
Author(s):  
Yang Xuan ◽  
Xu Wang ◽  
Cheng An Liu ◽  
Dan Yang
Keyword(s):  
Perturbation Theory ◽  
Salt Solution ◽  
Magnetic Induction ◽  
Imaging Modality ◽  
Reconstruction Algorithm ◽  
Target Object ◽  
Back Projection ◽  
Filtered Back Projection ◽  
Projection Reconstruction ◽  
Magnetic Induction Tomography

Magnetic induction tomography (MIT) is a noninvasive and contactless imaging modality which aims at the reconstruction of the electrical conductivity in objects from alternating magnetic fields. Filtered back projection reconstruction algorithm is widely used in biomedical imaging field, and tried to use in MIT. Finite element analysis model has been established based on Scharfetter coil-coil model and perturbation theory, then simulated coaxial coil system by ANSYS software, the perturbation aroused by a target object moving on vertical coil axis. The sensitivity of a target object moves in vacuum and a salt solution were calculated respectively, the characteristics of the perturbation sensitivity in a salt solution were analyzed. The conditions of filtered back projection reconstruction algorithm in MIT were discussed.

3-D variance of weighted back-projection reconstruction and its application to the detection of 3-D particle conformational changes

1991 ◽  
Vol 49 ◽  
pp. 542-543
Author(s):  
Weiping Liu
Keyword(s):  
Electron Microscopy ◽  
Radiation Damage ◽  
Conformational Changes ◽  
Preferred Orientation ◽  
Back Projection ◽  
Single Particles ◽  
Single Exposure ◽  
Projection Reconstruction ◽  
High Noise ◽  
Resolution Estimation

To overcome the radiation damage in electron microscopy, the method of 3-D reconstruction from single exposure, random conical tilting series has been developed for single particles with one preferred orientation on the grid. Due to the high noise components in the projections which propagate to the 3-D reconstruction, there is the question about the reproducibility of individual features in the reconstruction. This question cannot be answered by a resolution estimation, because resolution describes the average reliability of the features across the 3-D reconstruction. Also when two independent reconstructions of related particles (e.g. labeled vs. unlabeled) are compared, the following questions are raised: could they have arisen from the same structure? where are the feature differences located? how reliable are the conclusions? These questions can be answered by estimating the variances of the 3-D reconstructions. Since for the random conical method, different projections correspond to different particles on the grid, the conformational differences of these particles can contribute a substantial and recurrent portion to the noise components of their projections. A 3-D variance map should also reveal the 3-D locations of such conformational changes.

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