optical projection tomography(OPT)架構整理

image resolution and deconvolution in optical tomography

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resolution

reconstruction method

sparse samples

CNN

iterative

Convolutional Neural Networks for Reconstruction of Undersampled Optical Projection Tomography Data Applied to in Vivo Imaging of Zebrafish

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Attenuation artifacts

image resolution and deconvolution in optical tomography

3D imaging millimeter samples

projections of transmission or emission

reconstruct

all small animals

in vivo, ex vivo combinational
tissue clearing suppress light scattering

與其他種projection tomography相比較

LENSES

advantage

to relay and magnify the projection image

micrometer resolution

disadvantage

finite depth of field

resolution inversely proportional to NA

using high NA causes some parts of the sample to have a high resolution in a projection, while other parts are out of focus and have a low resolution

extended DOF

by focusing a plane between the center of rotation and the edge of the sample and recording projections over the full range of 360

data from multiple focal planes can be combined by either 1.simulations measurement
2.scanning lens focus through the object

while recording data from multiple focal planes solves the issue of the depth of field, the increased number of measurements requires 'longer acquisitions times' and increased complexity of the OPT system.

resolution blurring in OPT

based in frequency distance relation (FDR)

sinograms

axial intensity distribution and defocus on the PSF

compensated by

weight filtered backprojection

modulation transfer function(MTF) as an additional filter in the filtered backprojection

while obtaining a significant reduction in image background and artifacts using an MTF mask

however, they used a spatially-invariant PSF thereby obtaining less than optimum resolution

OPT 論文架構

calibration rotation axis

projection data (and sinogram)

reconstruction

Lens

這裡如果沒辦法畫圖說明，就用表格或數學式子說明

(resolution)