CT-based generation of synthetic-pseudo MR images with different weightings for human knee

• Published in: Computers in biology and medicine Vol. 169; p. 107842
• Main Authors: Masad, Ihssan S., Abu-Qasmieh, Isam F., Al-Quran, Hiam H., Alawneh, Khaled Z., Abdalla, Khalid M., Al-Qudah, Ali M.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.02.2024; Elsevier Limited
• Subjects: Bone and Bones; Computed tomography; Confined spaces; Deep learning; Feasibility studies; Femur; Human knee; Human subjects; Humans; Image acquisition; Image contrast; Image processing; Image Processing, Computer-Assisted - methods; Image reconstruction; In vivo methods and tests; Internal Medicine; Knee; Knee Joint; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical imaging; Other; Parameters; Proton density (concentration); Radiation; Registration; Soft tissues; Spin echo; Synthetic MRI; Tomography; Tomography, X-Ray Computed; United States > US; Chicago Illinois; Spin echo; Human knee; Computed tomography; Synthetic MRI

Synthetic MR images are generated for their high soft-tissue contrast avoiding the discomfort by the long acquisition time and placing claustrophobic patients in the MR scanner's confined space. The aim of this study is to generate synthetic pseudo-MR images from a real CT image for the knee re...