3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks.

ABSTRACT: Compared to magnetic resonance imaging (MRI) and X-ray computed tomography (CT), ultrasound imaging is safer, faster, and more widely applicable. However, the use of conventional ultrasound in transcranial brain imaging for adults is predominantly hindered by the high acoustic impedance contrast between the skull and soft tissue. This study introduces a 3D AI algorithm, Brain Imaging Full Convolution Network (BIFCN), combining waveform modeling and deep learning for precise brain ultrasound reconstruction. We constructed a network comprising one input layer, four convolution layers, and one pooling layer to train our algorithm. In the simulation experiment, the Pearson correlation coefficient between the reconstructed and true images was exceptionally high. In the laboratory, the results s

SUBMITTER: Ren J 

PROVIDER: S-EPMC10575417 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature