Related Experiment Video
Updated: Jan 25, 2026

Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
Published on: September 27, 2024
Evaluation of a novel reconstruction method based on the compressed sensing technique: Application to cervical spine
Yuki Takato1, Hirofumi Hata1, Yusuke Inoue2
1Department of Radiology, Kitasato University Hospital, Sagamihara, Kanagawa, Japan.
Abstract:
Compressed sensing-based reconstruction (CSR) is a new magnetic resonance (MR) image reconstruction method based on the compressed sensing (CS) technique. CSR suppresses ringing artifacts from truncated k-space sampling by estimating the high spatial frequency information required to support the acquired k-space data. CSR is intended to replace the existing zero-fill interpolation (ZIP) reconstruction. We investigated the usefulness of the CSR technique by obtaining sagittal T2-weighted images of the cervical spine and phantom images using CSR or ZIP. Our results indicated that the CSR technique reduces truncation artifacts compared to ZIP without prolonging the scan time or impairing image sharpness.
Related Concept Videos
The Sense of Self: Reflected Self-Appraisal and Social Comparison
Introduction to Special Senses
Tactile and Chemical Senses
Behavior of Concrete Under Compressive Load
As the concrete specimen fractures under...
Self-Evaluation: Self-Enhancement and Self-Verification
Reconstruction of Signal using Interpolation

