What is the recent AI studies about ultrasonograph phantom?
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Recent studies have focused on the application of artificial intelligence (AI) in the field of ultrasonography. These studies aim to improve the accuracy and efficiency of ultrasound imaging by utilizing AI algorithms. One study analyzed the trend of AI application in ultrasound and identified convolutional neural networks (CNN) as a promising deep learning algorithm for image analysis and processing . Another study investigated the performance of AI-based MRI image reconstruction using digital phantoms. The results showed that the performance of AI reconstruction models trained only on healthy brain images may be limited in reconstructing pathology regions . Additionally, 3D printed phantoms were used to calibrate super-resolution ultrasound imaging algorithms, providing a stable reference for validating new imaging techniques . Furthermore, a study proposed a fast and accurate ultrasound calibration concept using multiple "active" points, which showed potential for improving tracking accuracy in computer-assisted interventions . Overall, these recent studies highlight the potential of AI and phantoms in enhancing the performance and accuracy of ultrasonography.
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