Literature DB >> 23732651

Dual energy imaging using a clinical on-board imaging system.

M A Hoggarth1, J Luce, F Syeda, T S Bray, A Block, S Nagda, J C Roeske.   

Abstract

Dual energy (DE) imaging consists of obtaining kilovoltage (kV) x-ray images at two different diagnostic energies and performing a weighted subtraction of these images. A third image is then produced that highlights soft tissue. DE imaging has been used by radiologists to aid in the detection of lung malignancies. However, it has not been used clinically in radiotherapy. The goal of this study is to assess the feasibility of performing DE imaging using a commercial on-board imaging system. Both a simple and an anthropomorphic phantom were constructed for this analysis. Planar kV images of the phantoms were obtained using varied imaging energies and mAs. Software was written to perform DE subtraction using empirically determined weighting factors. Tumor detectability was assessed quantitatively using the signal-difference-to-noise ratio (SDNR). Overall DE subtraction suppressed high density objects in both phantoms. The optimal imaging technique, providing the largest SDNR with a dose less than our reference technique was 140 kVp, 1.0 mAs and 60 kVp, 3.2 mAs. Based on this analysis, DE subtraction imaging is feasible using a commercial on-board imaging system and may improve the visualization of tumors in lung cancer patients undergoing image-guided radiotherapy.

Entities:  

Mesh:

Year:  2013        PMID: 23732651     DOI: 10.1088/0031-9155/58/12/4331

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  12 in total

1.  Multi-layer imager design for mega-voltage spectral imaging.

Authors:  Marios Myronakis; Yue-Houng Hu; Rony Fueglistaller; Adam Wang; Paul Baturin; Pascal Huber; Daniel Morf; Josh Star-Lack; Ross Berbeco
Journal:  Phys Med Biol       Date:  2018-05-10       Impact factor: 3.609

2.  A novel phantom for characterization of dual energy imaging using an on-board imaging system.

Authors:  Maksat Haytmyradov; Rakesh Patel; Hassan Mostafavi; Murat Surucu; Adam Wang; Matthew M Harkenrider; John C Roeske
Journal:  Phys Med Biol       Date:  2019-01-21       Impact factor: 3.609

3.  Evaluation of a template-based algorithm for markerless lung tumour localization on single- and dual-energy kilovoltage images.

Authors:  Alec M Block; Rakesh Patel; Murat Surucu; Matthew M Harkenrider; John C Roeske
Journal:  Br J Radiol       Date:  2016-10-12       Impact factor: 3.039

4.  The markerless lung target tracking AAPM Grand Challenge (MATCH) results.

Authors:  Marco Mueller; Per Poulsen; Rune Hansen; Wilko Verbakel; Ross Berbeco; Dianne Ferguson; Shinichiro Mori; Lei Ren; John C Roeske; Lei Wang; Pengpeng Zhang; Paul Keall
Journal:  Med Phys       Date:  2021-12-29       Impact factor: 4.071

5.  Decompose kV projection using neural network for improved motion tracking in paraspinal SBRT.

Authors:  Xiuxiu He; Weixing Cai; Feifei Li; Qiyong Fan; Pengpeng Zhang; John J Cuaron; Laura I Cerviño; Xiang Li; Tianfang Li
Journal:  Med Phys       Date:  2021-10-28       Impact factor: 4.506

6.  Markerless tumor tracking using fast-kV switching dual-energy fluoroscopy on a benchtop system.

Authors:  Maksat Haytmyradov; Hassan Mostafavi; Adam Wang; Liangjia Zhu; Murat Surucu; Rakesh Patel; Arun Ganguly; Michelle Richmond; Roberto Cassetta; Matthew M Harkenrider; John C Roeske
Journal:  Med Phys       Date:  2019-06-01       Impact factor: 4.071

7.  Spectral imaging using clinical megavoltage beams and a novel multi-layer imager.

Authors:  Marios Myronakis; Rony Fueglistaller; Joerg Rottmann; Yue-Houng Hu; Adam Wang; Paul Baturin; Pascal Huber; Daniel Morf; Josh Star-Lack; Ross Berbeco
Journal:  Phys Med Biol       Date:  2017-11-14       Impact factor: 3.609

8.  Adaptive weighted log subtraction based on neural networks for markerless tumor tracking using dual-energy fluoroscopy.

Authors:  Maksat Haytmyradov; Hassan Mostafavi; Roberto Cassetta; Rakesh Patel; Murat Surucu; Liangjia Zhu; John C Roeske
Journal:  Med Phys       Date:  2020-01-10       Impact factor: 4.071

Review 9.  Technical Principles of Dual-Energy Cone Beam Computed Tomography and Clinical Applications for Radiation Therapy.

Authors:  Shailaja Sajja; Young Lee; Markus Eriksson; Håkan Nordström; Arjun Sahgal; Masoud Hashemi; James G Mainprize; Mark Ruschin
Journal:  Adv Radiat Oncol       Date:  2019-07-30

10.  Evaluation of Radiomics to Predict the Accuracy of Markerless Motion Tracking of Lung Tumors: A Preliminary Study.

Authors:  Kevin Nguyen; Maksat Haytmyradov; Hassan Mostafavi; Rakesh Patel; Murat Surucu; Alec Block; Matthew M Harkenrider; John C Roeske
Journal:  Front Oncol       Date:  2018-07-31       Impact factor: 6.244

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