Work

Detectability of Hypoattenuating Liver Lesions with Deep Learning CT Reconstruction: A Phantom and Patient Study

Year: 2024

Type: article

Abstract: > .05). Conclusion The detectability of low-contrast liver lesions was similar on CT scans reconstructed with low-, medium-, and high-strength DLIR and ASIR-V 40 in both patient and phantom studies. Lesion-to-background contrast-to-noise ratios were higher for DLIR medium- and high-strength reconstructions compared with ASIR-V 40. © RSNA, 2024

Source: Radiology

DOI: 10.1148/radiol.232749

Authors: Jinjin Cao, Nayla Mroueh, Nathaniel Mercaldo, Simon Lennartz, Sasiprang Kongboonvijit, Shravya Srinivas Rao, Nisanard Pisuchpen, Vinit Baliyan, Theodore T. Pierce, Mark A. Anderson, Madeleine Sertic, Anuradha S. Shenoy-Bhangle, Avinash R. Kambadakone

Institutions: Harvard University, University of Cologne, King Chulalongkorn Memorial Hospital, Massachusetts General Hospital

Language: English

Topic: Advanced X-ray and CT Imaging

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: GE Healthcare

Award: G2871050012

OpenAlex ID: W4403219800

FWCI: 1.278

Cites: 23

Cited by: 12

Related to: 10