chengweixiasummer

chengweixiasummer's Stars

• rehmanali1994/refractionCorrectedUSCT.github.io

  Gauss-Newton Algorithm for Ultrasound Transmission CT Based on Travel Times in MATLAB

  Language:C165

• rehmanali1994/easy_computed_tomography.github.io

  Educational and easy-to-understand parallel-beam computed tomography simulator (implemented both in MATLAB and CUDA)

  Language:Cuda254

• rehmanali1994/FourierDomainBeamformer

  A generic Fourier beamformer based on the cross-correlation of transmitted and received wavefields

  Language:Python148

• rehmanali1994/DistributedAberrationCorrection

  Distributed Aberration Correction Techniques Based on Tomographic Sound Speed Estimates

  Language:C92

• rehmanali1994/DixInversion4MedicalUltrasound

  Sound Speed Estimator for Layered Media in Medical Ultrasound Imaging

  Language:Python94

• ankrh/MCmatlab

  Numerical simulation tool for Monte Carlo propagation of light in turbid media

  Language:MATLAB5414

• idanstei/Superiorized-Photo-Acoustic-Non-NEgative-Reconstruction-for-Clinical-Photoacoustic-Imaging

  Photoacoustic (PA) imaging can revolutionize medical ultrasound by augmenting it with molecular information. However, clinical translation of PA imaging remains a challenge due to the limited viewing angles and imaging depth. Described here is a new robust algorithm called Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER), designed to reconstruct PA images in real-time and to address these limitations. The method utilizes precise forward modeling of the PA propagation and reception of signals while accounting for the effects of acoustic absorption, element size, shape, and sensitivity, as well as the transducer's impulse response and directivity pattern. A fast superiorized conjugate gradient algorithm is used for inversion. SPANNER is compared to three reconstruction algorithms: delay-and-sum (DAS), universal back-projection (UBP), and model-based reconstruction (MBR). All four algorithms are applied to both simulations and experimental data acquired from tissue-mimicking phantoms, ex vivo tissue samples, and in vivo imaging of the prostates in patients. Simulations and phantom experiments highlight the ability of SPANNER to improve contrast to background ratio by up to 20 dB compared to all other algorithms, as well as a 3-fold increase in axial resolution compared to DAS and UBP. Applying SPANNER on contrast-enhanced PA images acquired from prostate cancer patients yielded a statistically significant difference before and after contrast agent administration, while the other three image reconstruction methods did not, thus highlighting SPANNER's performance in differentiating intrinsic from extrinsic PA signals and its ability to quantify PA signals from the contrast agent more accurately.

  Language:MATLAB255

• hongxiangharry/AdjointPAT

  Numerical experiments of the adjoint PAT with under-sampled sensors. The behaviors of Time-Reversal (TR), Back-Projection (BP), and Truncated Back-Projection (TBP) reconstruction are demonstrated.

  Language:Matlab51

• ucl-bug/k-wave

  A MATLAB toolbox for the time-domain simulation of acoustic wave fields

  Language:MATLAB538

• csheaff/pa-tomography-xu-wang

  Photoacoustic tomography as proposed by Xu and Wang in Python and Rust.

  Language:Rust158

• likemoongg/SARbackprojection

  this is a example about BackProjection algorithm of SAR(synthetic aperture radar) writed by MATLAB

  Language:Matlab6616