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Literature DB >> 19423259

Dual energy subtraction: principles and clinical applications.

Abstract

Two technical solutions using single or dual shot offer different advantages and disadvantages for dual energy subtraction. The principles of these are explained and the main clinical applications with results are demonstrated. Elimination of overlaying bone and proof or exclusion of calcification are the primary aims of energy subtraction chest radiography, offering unique information in different clinical situations.

Entities: Disease

Mesh：

Year: 2009 PMID： 19423259 DOI： 10.1016/j.ejrad.2009.03.046

Source DB: PubMed Journal: Eur J Radiol ISSN： 0720-048X Impact factor: 3.528

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Cited

7 in total

1. Dual-energy CT angiography in peripheral arterial occlusive disease-accuracy of maximum intensity projections in clinical routine and subgroup analysis.

Authors: Thomas Kau; Wolfgang Eicher; Christian Reiterer; Martin Niedermayer; Egon Rabitsch; Birgit Senft; Klaus A Hausegger
Journal: Eur Radiol Date: 2011-03-02 Impact factor: 5.315

2. Theoretical and Monte Carlo optimization of a stacked three-layer flat-panel x-ray imager for applications in multi-spectral medical imaging.

Authors: Sebastian Lopez Maurino; Aldo Badano; Ian A Cunningham; Karim S Karim
Journal: Proc SPIE Int Soc Opt Eng Date: 2016-03-29

3. Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.

Authors: Ngo Fung Daniel Lam; Hongfei Sun; Liming Song; Dongrong Yang; Shaohua Zhi; Ge Ren; Pak Hei Chou; Shiu Bun Nelson Wan; Man Fung Esther Wong; King Kwong Chan; Hoi Ching Hailey Tsang; Feng-Ming Spring Kong; Yì Xiáng J Wáng; Jing Qin; Lawrence Wing Chi Chan; Michael Ying; Jing Cai
Journal: Quant Imaging Med Surg Date: 2022-07

Dual energy subtraction: principles and clinical applications.

1. Dual-energy CT angiography in peripheral arterial occlusive disease-accuracy of maximum intensity projections in clinical routine and subgroup analysis.

2. Theoretical and Monte Carlo optimization of a stacked three-layer flat-panel x-ray imager for applications in multi-spectral medical imaging.

3. Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographs.

Review 4. Computer-aided detection in chest radiography based on artificial intelligence: a survey.

5. Efficiency and reporting confidence analysis of sequential dual-energy subtraction for thoracic x-ray examinations.

6. Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image Priors.

7. The potential application of dual-energy subtraction radiography for COVID-19 pneumonia imaging.