Fault-based geological lineaments extraction using remote sensing and GIS—a review
Geological lineaments are the earth's linear features indicating significant tectonic units in
the crust associated with the formation of minerals, active faults, groundwater controls …
the crust associated with the formation of minerals, active faults, groundwater controls …
Signal and image processing in biomedical photoacoustic imaging: a review
Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. PAI
works on the principle of electromagnetic energy absorption by the exogenous contrast …
works on the principle of electromagnetic energy absorption by the exogenous contrast …
De-noising of photoacoustic microscopy images by attentive generative adversarial network
D He, J Zhou, X Shang, X Tang, J Luo… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
As a hybrid imaging technology, photoacoustic microscopy (PAM) imaging suffers from
noise due to the maximum permissible exposure of laser intensity, attenuation of ultrasound …
noise due to the maximum permissible exposure of laser intensity, attenuation of ultrasound …
Review of consensus test methods in medical imaging and current practices in photoacoustic image quality assessment
Significance: Photoacoustic imaging (PAI) is a powerful emerging technology with broad
clinical applications, but consensus test methods are needed to standardize performance …
clinical applications, but consensus test methods are needed to standardize performance …
[HTML][HTML] Fast iterative reconstruction for photoacoustic tomography using learned physical model: theoretical validation
KT Hsu, S Guan, PV Chitnis - Photoacoustics, 2023 - Elsevier
Iterative reconstruction has demonstrated superior performance in medical imaging under
compressed, sparse, and limited-view sensing scenarios. However, iterative reconstruction …
compressed, sparse, and limited-view sensing scenarios. However, iterative reconstruction …
Reconstructing the photoacoustic image with high quality using the deep neural network model
The range of diagnostic equipment has been widened and improved by the quick
development of biomedical research technologies. The creation of multifunctional …
development of biomedical research technologies. The creation of multifunctional …
Adaptive coherent weighted averaging algorithm for enhancement of photoacoustic tomography images of brain
One common method to improve the low signal‐to‐noise ratio of the photoacoustic (PA)
signal generated from weak absorbers or absorbers located in deep tissue is to acquire …
signal generated from weak absorbers or absorbers located in deep tissue is to acquire …
Radiation-induced acoustic signal denoising using a supervised deep learning framework for imaging and therapy monitoring
Radiation-induced acoustic (RA) imaging is a promising technique for visualizing the
invisible radiation energy deposition in tissues, enabling new imaging modalities and real …
invisible radiation energy deposition in tissues, enabling new imaging modalities and real …
[HTML][HTML] Singular value decomposition with weighting matrix applied for optical-resolution photoacoustic microscopes
The prestige target selectivity and imaging depth of optical-resolution photoacoustic
microscope (OR-PAM) have gained attentions to enable advanced intra-cellular …
microscope (OR-PAM) have gained attentions to enable advanced intra-cellular …
[HTML][HTML] An extremum-guided interpolation for sparsely sampled photoacoustic imaging
H Wang, L Yan, C Ma, Y Han - Photoacoustics, 2023 - Elsevier
In photoacoustic (PA) reconstruction, spatial constraints or real-time system requirements
often result to sparse PA sampling data. For sparse PA sensor data, the sparse spatial and …
often result to sparse PA sampling data. For sparse PA sensor data, the sparse spatial and …