image reconstruction

Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI

Author(s): Seonyeong Park, H. Michael Gach, Siyong Kim, Suk Jin Lee, Yuichi Motai
Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: To introduce an MRI in-plane resolution enhancement method that estimates High-Resolution (HR) MRIs from Low-Resolution (LR) MRIs. Method & Materials: Previous CNN-based MRI super-resolution methods cause loss of input…

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Stomach 3D Reconstruction Using Virtual Chromoendoscopic Images

Author(s): Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki
Stomach 3D Reconstruction Using Virtual Chromoendoscopic Images 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective. Gastric endoscopy is a golden standard in the clinical process that enables medical practitioners to diagnose various lesions inside a patient’s stomach. If a lesion is found, a success…

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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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