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Dataset Information

SPARE: Sparse-view reconstruction challenge for 4D cone-beam CT from a 1-min scan.


ABSTRACT:

Purpose

Currently, four-dimensional (4D) cone-beam computed tomography (CBCT) requires a 3-4 min full-fan scan to ensure usable image quality. Recent advancements in sparse-view 4D-CBCT reconstruction have opened the possibility to reduce scan time and dose. The aim of this study is to provide a common framework for systematically evaluating algorithms for 4D-CBCT reconstruction from a 1-min scan. Using this framework, the AAPM-sponsored SPARE Challenge was conducted in 2018 to identify and compare state-of-the-art algorithms.

Methods

A clinically realistic CBCT dataset was simulated using patient CT volumes from the 4D-Lung database. The selected patients had multiple 4D-CT sessions, where the first 4D-CT was used as the prior CT, and the rest were used as the ground truth

SUBMITTER: Shieh CC 

PROVIDER: S-EPMC6739166 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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