Computer-aided Pulmonary Embolism Detection on Virtual Monochromatic Images Compared to Conventional CT Angiography-Reference-Cited by-同舟云学术

Computer-aided Pulmonary Embolism Detection on Virtual Monochromatic Images Compared to Conventional CT Angiography

Published:2021-11 Issue:2 Volume:301 Page:420-422
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Langius-Wiffen Eline¹^ORCID,Nijholt Ingrid M.¹^ORCID,de Boer Erwin¹^ORCID,Nijboer-Oosterveld Jacqueline¹,Huurman Lisa¹^ORCID,Rozema Ilse¹^ORCID,Walen Stefan¹^ORCID,van den Berg Jan W. K.¹^ORCID,de Jong Pim A.¹^ORCID,Boomsma Martijn F.¹^ORCID

Affiliation:

1. From the Departments of Radiology (E.L.W., I.M.N., E.d.B., J.N.O., L.H., I.R., M.F.B.) and Pulmonology (S.W., J.W.K.v.d.B.), Isala Hospital, Dokter van Heesweg 2, 8025 AB Zwolle, the Netherlands; and Department of Radiology, University Medical Centre Utrecht, Utrecht, the Netherlands (P.A.d.J.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2021204620

Reference6 articles.

1. Acute Pulmonary Embolism: Effect of a Computer-assisted Detection Prototype on Diagnosis—An Observer Study

2. Stand-alone performance of a computer-assisted detection prototype for detection of acute pulmonary embolism: a multi-institutional comparison

3. Influence of Monoenergetic Images at Different Energy Levels in Dual-Energy Spectral CT on the Accuracy of Computer-Aided Detection for Pulmonary Embolism

4. Image quality evaluation of dual-layer spectral CT in comparison to single-layer CT in a reduced-dose setting

5. Optimal Monochromatic Energy Levels in Spectral CT Pulmonary Angiography for the Evaluation of Pulmonary Embolism

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An artificial intelligence algorithm for pulmonary embolism detection on polychromatic computed tomography: performance on virtual monochromatic images;European Radiology;2023-08-05

2. Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism;Diagnostics;2022-05-13