Technology and applications in interventional imaging: 2D X-ray radiography/fluoroscopy and 3D cone-beam CT

Schäfer, Sebastian; Siewerdsen, Jeffrey H.

doi:10.1016/b978-0-12-816176-0.00031-4

Cited by 6 publications

(1 citation statement)

References 141 publications

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“…However, orthopedic intraoperative CBCTs have been suffering from the problem of metal artifacts. Metal artifacts introduced by metallic guidewires can significantly degrade images and impair the physician's ability to determine wire location (Schafer and Siewerdsen 2020), and they have long been the cause of image quality degradation in all CT systems (Gjesteby et al 2016). These artifacts are especially difficult to suppress in CBCT due to increased scattering, magnified noise, and collecting projections over a limited angular range (as a compromise to in-room mobility, orthopedic intraoperative CBCT systems place the source and detector on a C-shaped arm, limiting their scanning angle range).…”

Section: Introductionmentioning

confidence: 99%

PDS-MAR: a fine-grained projection-domain segmentation-based metal artifact reduction method for intraoperative CBCT images with guidewires

Lyu,

Wu,

et al. 2023

Phys. Med. Biol.

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Objective: Since the invention of modern CT systems, metal artifacts have been a persistent problem. Due to increased scattering, amplified noise, and limited-angle projection data collection, it is more difficult to suppress metal artifacts in cone-beam CT, limiting its use in human- and robot-assisted spine surgeries where metallic guidewires and screws are commonly used. Approach: To solve this problem, we present a fine-grained projection-domain segmentation-based MAR method termed PDS-MAR, in which metal traces are augmented and segmented in the projection domain before being inpainted using triangular interpolation. In addition, a metal reconstruction phase is proposed to restore metal areas in the image domain. }Main results: The proposed method is tested on both digital phantom data and real scanned CBCT data. It achieves much-improved quantitative results in both metal segmentation and artifact reduction in our phantom study. The results on real scanned data also show the superiority of this method. Significance: The concept of projection-domain metal segmentation would advance MAR techniques in CBCT and has the potential to push forward the use of intraoperative CBCT in human-handed and robotic-assisted minimal invasive spine surgeries.

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Section: Introductionmentioning

confidence: 99%