Reconstruction of sparse-view tomography via preconditioned Radon sensing matrix
Computed Tomography (CT) is one of the significant research areas in the field of medical
image analysis. As X-rays used in CT image reconstruction are harmful to the human body, it
is necessary to reduce the X-ray dosage while also maintaining good quality of CT images.
Since medical images have a natural sparsity, one can directly employ compressive sensing
(CS) techniques to reconstruct the CT images. In CS, sensing matrices having low
coherence (a measure providing correlation among columns) provide better image …
image analysis. As X-rays used in CT image reconstruction are harmful to the human body, it
is necessary to reduce the X-ray dosage while also maintaining good quality of CT images.
Since medical images have a natural sparsity, one can directly employ compressive sensing
(CS) techniques to reconstruct the CT images. In CS, sensing matrices having low
coherence (a measure providing correlation among columns) provide better image …
[PDF][PDF] Reconstruction of Sparse-View Tomography via Preconditioned Radon Sensing Matrix
PKPU Prasad Theeda, CS Sastry, PV Jampana - raiithold.iith.ac.in
Computed Tomography (CT) is one of the significant research areas in the field of medical
image analysis. As X-rays used in CT image reconstruction are harmful to the human body, it
is necessary to reduce the X-ray dosage while also maintaining good quality of CT images.
Since medical images have a natural sparsity, one can directly employ compressive sensing
(CS) techniques to reconstruct the CT images. In CS, sensing matrices having low
coherence (a measure providing correlation among columns) provide better image …
image analysis. As X-rays used in CT image reconstruction are harmful to the human body, it
is necessary to reduce the X-ray dosage while also maintaining good quality of CT images.
Since medical images have a natural sparsity, one can directly employ compressive sensing
(CS) techniques to reconstruct the CT images. In CS, sensing matrices having low
coherence (a measure providing correlation among columns) provide better image …
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