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Objective
Modic changes (MCs) are the most prevalent classification system for describing intravertebral MRI signal intensity changes. However, interpreting these intricate MRI images is a complex and time‐consuming process. This study investigates the performance of single shot multibox detector (SSD) and ResNet18 network‐based automatic detection and classification of MCs. Additionally, it compares...
Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) is a hybrid magnetic modality aiming to reconstruct the electrical impedance property in biological tissue by integrating magnetic induction and ultrasound measurements with high resolution. Most of the existing computation algorithms for MAT-MI are based on the assumption that the tissue has homogeneous acoustic properties. However, the...
Magnetoacoustic tomography with magnetic induction(MAT-MI) is a new type technology for imaging the distribution of electrical impedance in biological tissue. It combines the electrical impedance tomography with the sonography. Organism has a complex structure, so it has important significance and practical value that the study of MAT-MI based on real model. We analyzed the principles of coupling...
Nano-sized particles are widely regarded as a tool to study biologic events at the cellular and molecular levels. However, only a few imaging modalities can visualize interaction between nanoparticles and living cells. A new method of functional imaging method is presented in this paper. Magnetoacoustic imaging is capable of detection the presence and distribution of magnetic nanoparticles, which...
The magnetoacoustic tomography with magnetic induction (MAT-MI) is a hybrid imaging modality proposed to reconstruct the electrical impedance property in biological tissue by integrating magnetic induction and ultrasound measurements with high resolution. One of the major problems of MAT-MI is the singularity problem and its numerical errors caused by singular MAT-MI acoustic sources at conductivity...
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