Super-resolution reconstruction of 4D-CT lung data via patch-based low-rank matrix reconstruction.

Abstract

Lung 4D computed tomography (4D-CT), which is a time-resolved CT data acquisition, performs an important role in explicitly including respiratory motion in treatment planning and delivery. However, the radiation dose is usually reduced at the expense of inter-slice spatial resolution to minimize radiation-related health risk. Therefore, resolution… (More)
DOI: 10.1088/1361-6560/aa8a48

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