Optimization of image quality in photoacoustic tomography using spatial projection data

2019 ◽  
Author(s):  
Robert Nuster ◽  
Günther Paltauf
Keyword(s):  
Image Quality ◽  
Photoacoustic Tomography ◽  
Projection Data

scholarly journals Adaptive optics enhanced all-optical photoacoustic tomography

2021 ◽  
Author(s):  
Jakub Czuchnowski ◽  
Robert Prevedel
Keyword(s):  
High Resolution ◽  
Image Quality ◽  
Adaptive Optics ◽  
Photoacoustic Signal ◽  
Photoacoustic Tomography ◽  
Optical Aberrations ◽  
Fabry Perot ◽  
Mammalian Tissues ◽  
All Optical

AbstractAll-optical ultrasound detection bears a number of unique advantages for photoacoustic tomography, including the ability for high resolution sampling of the acoustic field and its compatibility with a wide variety of other optical modalities. However, optical schemes based on miniaturized cavities are sensitive to optical aberrations as well as manufacturing-induced cavity imperfections which degrade sensor sensitivity and deteriorate photoacoustic image quality. Here we present an experimental method based on adaptive optics that is capable of enhancing the overall sensitivity of Fabry-Pérot based photoacoustic sensors. We experimentally observe clear improvements in photoacoustic signal detection as well as overall image quality after photoacoustic tomography reconstructions when applied to mammalian tissues in vivo.

A suite of phantom-based test methods for assessing image quality of photoacoustic tomography systems

2017 ◽  
Author(s):  
William C. Vogt ◽  
Congxian Jia ◽  
Keith A. Wear ◽  
Brian S. Garra ◽  
T. Joshua Pfefer
Keyword(s):  
Image Quality ◽  
Test Methods ◽  
Photoacoustic Tomography

The Improvement of Katsevich Reconstruction Algorithm Based on Cone-Beam CT

2012 ◽  
Vol 239-240 ◽  
pp. 1148-1151
Author(s):  
Li Fang Wang
Keyword(s):  
Image Quality ◽  
Polynomial Interpolation ◽  
Cone Beam Ct ◽  
Reconstruction Algorithm ◽  
Experimental Results ◽  
Cone Beam ◽  
Projection Data ◽  
Interpolation Function ◽  
Reconstruction Process ◽  
Derivatives Of

The Katsevich reconstruction algorithm based on cone-beam must compute the derivative of projection data in the reconstruction process, but projection data are discrete and haven’t derivative. So the derivatives of the polynomial interpolation function are as approximation of the derivative of projection data. To verify the effectiveness of this method, 3D Shepp-Logan model is reconstructed by the method and the average gradient is used to measure the clarity of image. The experimental results show that this method enables image clearer and improves image quality

AN IMPROVED 3DRP PET IMAGE RECONSTRUCTION METHOD WITH REBINNED DIRECT IMAGE ESTIMATE

2006 ◽  
Vol 18 (05) ◽  
pp. 237-245
Author(s):  
WEI-MIN JENG ◽  
HSUAN-HUI WANG
Keyword(s):  
Image Reconstruction ◽  
Image Quality ◽  
Three Dimensional ◽  
Simulation Software ◽  
Direct Image ◽  
Projection Data ◽  
Reconstruction Method ◽  
Two Dimensional ◽  
Dimensional Image

The quality of traditional two-dimensional image reconstruction for PET has been efficiently improved by three-dimensional image reconstruction, but the sensitivity of the data and the quality of the image are restricted by the limit of modality physics. In analytical image reconstruction algorithm, 3DRP method compensates the unmeasured events by forward projection based on the initial direct image estimate. However, the original 3DRP method merely depends on the parallel projections without taking into account the oblique projections. In our proposed 3DRP-SSRB method, we improve the first image estimate by incorporating the rebinned oblique data. SSRB method was used to perform the rebinning operation to make uses of the oblique projection data to improve the sensitivity information. And then project the improved image estimate forward and reconstruct the final image. Conflicting parameters of reconstructed image quality of 3DRP are experimented by simulated three-dimensional phantom study with regard to both system sensitivity and image quality factors. PET simulation software package was used to conduct the experiment along with the MATLAB software to evaluate the effectiveness of two-dimensional FBP, 3DRP, and our proposed 3DRP-SSRB methods. The result demonstrated its better image quality by having better mean squared error numbers in most of output image slices.

scholarly journals Wavelength Optimization in the Multispectral Photoacoustic Tomography of the Lymphatic Drainage in Mice

2021 ◽  
Author(s):  
Ihab ABi Nassif
Keyword(s):  
Image Quality ◽  
Temporal Resolution ◽  
Condition Number ◽  
Energy Deposition ◽  
Fluorescent Dyes ◽  
Tunable Laser ◽  
Lymphatic Drainage ◽  
Minimum Condition ◽  
Photoacoustic Tomography

Multispectral photoacoustic tomography provides a mapping of the tissue chromophore distribution by using a broad range of tunable laser wavelengths. While a large number of employed wavelengths may improve the separation of exogenous and endogenous chromophores, it also decreases the temporal resolution and increases the total energy deposition, which can cause bleaching of fluorescent dyes. With the overall goal of studying the dynamics of cerebrospinal fluid in mice in vivo, the work in this thesis aims to minimize the number of wavelengths in order to reduce the scanning time, improve the temporal resolution, reduce the energy deposition into the tissue and avoid photobleaching of the tracers while maintaining high image quality. Two methods were used to select small sets of wavelengths: the first method of wavelength selection was based on the minimization of the condition number of the extinction matrix, and the second method was based on the peak signal-to-noise ratio optimization of the chromophore images. 3 wavelengths set was selected based on minimum condition number proved to be enough to maintain good image quality and accurate mapping for chromophores and tracer.

scholarly journals Correction: Improving Image Quality by Accounting for Changes in Water Temperature during a Photoacoustic Tomography Scan

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
Author(s):  
Dominique Van de Sompel ◽  
Laura Sarah Sasportas ◽  
Anca Dragulescu-Andrasi ◽  
Sarah Bohndiek ◽  
Sanjiv Sam Gambhir
Keyword(s):  
Image Quality ◽  
Water Temperature ◽  
Photoacoustic Tomography ◽  
Tomography Scan

scholarly journals Improving Image Quality by Accounting for Changes in Water Temperature during a Photoacoustic Tomography Scan

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e45337 ◽  
Author(s):  
Dominique Van de Sompel ◽  
Laura Sarah Sasportas ◽  
Anca Dragulescu-Andrasi ◽  
Sarah Bohndiek ◽  
Sanjiv Sam Gambhir
Keyword(s):  
Image Quality ◽  
Water Temperature ◽  
Photoacoustic Tomography ◽  
Tomography Scan

Effects of fixed-rate CT projection data compression on perceived and measured CT image quality

2010 ◽  
Author(s):  
Albert Wegener ◽  
Naveen Chandra ◽  
Yi Ling ◽  
Robert Senzig ◽  
Robert Herfkens
Keyword(s):  
Image Quality ◽  
Data Compression ◽  
Projection Data ◽  
Ct Image ◽  
Fixed Rate ◽  
Ct Image Quality
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