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A graphical user interface(GUI)for model-based radiation-induced acoustic computed tomography

Journal of Innovative Optical Health Sciences 2023年第1期16卷 39-53页

作者： Michelle Simon prabodh kumar pandey Leshan Sun Liangzhong Xiang Department of Biomedical Engineering Samueli School of Engineering University of California IrvineCA 92617USA Department of Radiological Sciences School of Medicine University of California IrvineCA 92697USA Beckman Laser Institute&Medical Clinic University of California Irvine CA 92612USA

Radiation-induced acoustic computed tomography(RACT)is an evolving biomedical imaging modality that aims to reconstruct the radiation energy deposition in *** backprojection(BP)reconstructions carry noisy and limited-view ***-based algorithms have been demonstrated to overcome the drawbacks of ***,model-based algorithms are relatively more complex to develop and computationally ***,while a plethora of novel algorithms has been developed over the past decade,most of these algorithms are either not accessible,readily available,or hard to implement for researchers who are not well versed in *** developed a user-friendly MATLAB-based graphical user interface(GUI;RACT2D)that facilitates back-projection and model-based image reconstructions for twodimensional RACT *** included numerical and experimental X-ray-induced acoustic datasets to demonstrate the capabilities of the *** developed algorithms support parallel computing for evaluating reconstructions using the cores of the computer,thus further accelerating the reconstruction *** also share the MATLAB-based codes for evaluating RACT reconstructions,which users with MATLAB programming expertise can further modify to suit their *** shared GUI and codes can be of interest to researchers across the globe and assist them in e±cient evaluation of improved RACT reconstructions.

关键词： Radiation-induced acoustic computed tomography(RACT) image reconstruction graphical user interface(GUI) photoacoustic tomography

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Ring artifacts removal in X-ray-induced acoustic computed tomography

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Journal of Innovative Optical Health Sciences 2022年第3期15卷 54-69页

作者： prabodh kumar pandey Hari Om Aggrawal Siqi Wang Kaitlyn Kim An Liu Liangzhong Xiang Department of Radiological Sciences University of California IrvineCA 92697USA Institute of Mathematics and Image Computing University of L€ubeck Germany Independent Technical Consultant India Department of Biomedical Engineering University of California IrvineCA 92617USA Department of Radiation Oncology City of Hope National Medical Center Duarte CA 91010 USA Beckman Laser Institute University of California IrvineCA 92612USA

X-ray-induced acoustic computed tomography(XACT)is a hybrid imaging modality for detecting X-ray absorption distribution via ultrasound *** facilitates imaging from a single projection X-ray illumination,thus reducing the radiation exposure and improving imaging *** detector response caused by the interference between multichannel data acquisition for ring array transducers and amplifier systems yields ring artifacts in the reconstructed XACT images,which compromises the image *** propose model-based algorithms for ring artifacts corrected XACT imaging and demonstrate their effcacy on numerical and experimental *** corrected reconstructions indicate significantly reduced ring artifacts as compared to their conventional counterparts.

关键词： X-ray-induced acoustic computed tomography(XACT) ring artifacts artifacts correction

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Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric, Ocimum, and Withania somnifera study

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Journal of Pharmaceutical Analysis 2023年第9期13卷 1041-1057页

作者： Samreen Khan Abhishek kumar Rai Anjali Singh Saudan Singh Basant kumar Dubey Raj Kishori Lal Arvind Singh Negi Nicholas Birse prabodh kumar Trivedi Christopher T.Elliott Ratnasekhar Ch Metabolomics Lab Council of Scientific and Industrial Research(CSIR)-Central Institute of Medicinal and Aromatic Plants(CIMAP)Lucknow226015India Department of Crop Production&Protection Council of Scientific and Industrial Research(CSIR)-Central Institute of Medicinal and Aromatic Plants(CIMAP)Lucknow226015India Academy of Council of Scientific and Industrial Research(ACSIR) Ghaziabad201002India Department of Biotechnology Council of Scientific and Industrial Research(CSIR)-Central Institute of Medicinal and Aromatic Plants(CIMAP)Lucknow226015India Genetics and Plant Breeding Department Council of Scientific and Industrial Research(CSIR)-Central Institute of Medicinal and Aromatic Plants(CIMAP)Lucknow226015India Department of Phytochemistry Council of Scientific and Industrial Research(CSIR)-Central Institute of Medicinal and Aromatic Plants(CIMAP)Lucknow226015India School of Biological Sciences Queen's UniversityBelfastBT95DLUK

Herbal medicines are popular natural medicines that have been used for *** use of alternative medicines continues to expand rapidly across the *** World Health Organization suggests that quality assessment of natural medicines is essential for any therapeutic or health care applications,as their therapeutic potential varies between different geographic origins,plant species,and *** of herbal medicines based on a limited number of secondary metabolites is not an ideal *** quality should be considered based on a complete metabolic profile,as their pharmacological activity is not due to a few specific secondary metabolites but rather a larger group of bioactive compounds.A holistic and integrative approach using rapid and nondestructive analytical strategies for the screening of herbal medicines is required for robust *** this study,a rapid and effective quality assessment system for geographical traceability,species,and variety-specific authenticity of the widely used natural medicines turmeric,Ocimum,and Withania somnifera was investigated using Fourier transform near-infrared(FT-NIR)spectroscopy-based metabolic *** different geographical origins of turmeric,five different Ocimum species,and three different varieties of roots and leaves of Withania somnifera were studied with the aid of machine learning *** good discrimination(R^(2)>0.98,Q^(2)>0.97,and accuracy=1.0)with sensitivity and specificity of 100%was achieved using this metabolic fingerprinting *** study demonstrated that FT-NIR-based rapid metabolic fingerprinting can be used as a robust analytical method to authenticate several important medicinal herbs.

关键词： Rapid metabolic fingerprinting Natural medicines FT-NIR Chemometric models

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