computed tomography

Automated Diagnosis of COVID-19 using Deep Features and Parameter Free BAT Optimization

Author(s): Taranjit Kaur, Tapan K. Gandhi, Bijaya K. Panigrahi
Automated Diagnosis of COVID-19 using Deep Features and Parameter Free BAT Optimization 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Timely and precise identification of COVID-19 is an arduous task owing to the scarcity and inefficiency of the medical test kits. This has resulted in medical professionals turning towards…

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The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy

The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy

Author(s): George Zaki, William Plishker, Wen Li, Junghoon Lee, Harry Quon, John Wong, Raj Shekhar
The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Abstract: The images generated during radiation oncology treatments provide a valuable resource to conduct analysis for personalized therapy, outcomes prediction, and treatment margin optimization. Deformable image registration (DIR) is an…

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Constrained TpV-minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction

Constrained TpV-minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction 540 410 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Exploiting sparsity in the image gradient magnitude has proved to be an effective means for reducing the sampling rate in the projection view angle in computed tomography (CT). Most of…

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Detection of Cardiac Quiescence from B-Mode Echocardiography using a Correlation-Based Frame-to-Frame Deviation Measure

Detection of Cardiac Quiescence from B-Mode Echocardiography using a Correlation-Based Frame-to-Frame Deviation Measure 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Two novel methods for detecting cardiac quiescent phases from B-mode echocardiography using a correlation-based frame-to-frame deviation measure were developed. Accurate knowledge of cardiac quiescence is crucial to the performance of…

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