Motion Artefact Reduction in Dual-Energy Radiography

Shunkov, Yu. E.; Kobylkin, I. S.; Prokhorov, Alexandre V; Pozdnyakov, Dmitriy; Kasiuk, D. M.; Nechaev, V. A.; Алексеева, О. В.; Naumova, D. I.; Dabagov, A. R.

doi:10.1007/s10527-022-10148-9

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…Medical technology привести к неправильной оценке результатов [2,3]. На текущий момент на рынке РФ присутствуют несколько производителей аппаратов с технологией двухэнергетической рентгенографии, к которым относятся «ТелеКоРД-МТ-Плюс» (АО «МТЛ», Россия), FDR AcSelerate (Fujifilm Medical System, Япония), SonialVision Safire (Shimadzu, Япония), VolumeRAD (GE, США) [2].…”

Section: медицинские технологииunclassified

“…Стоит отметить, что в 25 % случаев на серии рентгенограмм определялись несколько разных по характеру артефактов.Преобладающее количество двигательных артефактов в выборке объясняется физическими особенностями получения раздельных изображений. При работе с данной цифровой диагностической системой минимальное время задержки между экспозициями составляло 300 мс, а длительность окна накопления -400 мс, что не позволяет получать высококачественные рентгенограммы у пациентов с тахикардией[3]. Двигательные артефакты на раздельных изображениях имели вид линейных участков просветления вдоль тени средостения, ребер, куполов диафрагмы, «объемного» легочного рисунка (рис.…”

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Artifacts in Dual-Energy Chest Radiography

Васильев

Naumova

2022

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The aim of this research is to analyze artifacts in dual-energy chest radiography: their appearance and how to eliminate them. A total of 252 patients were examined in random order by using dual-energy radiography. As a result, 756 images were analyzed. This review describes the most important and most prevalent of them, including motion artifacts - 58 (41,4%), quantum noise – 55 (39,2%) and decreasing the suppression of bony elements on soft-tissue-selective images – 27 (19,3%). The main reason of dual-energy chest radiography artifacts is incorrect image reconstruction parameters.

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Section: медицинские технологииunclassified

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Artifacts in Dual-Energy Chest Radiography

Васильев

Naumova

2022

jour

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“…Because of the copper plate, noise characteristics can deteriorate the quality of high-energy images [21]. In the two-shot method, on the other hand, X-ray exposure is carried out twice at different energies [22]. As a result, motion artifacts and dose increments are unavoidable.…”

Section: Introductionmentioning

confidence: 99%

Development of Artificial Intelligence-Based Dual-Energy Subtraction for Chest Radiography

Yamazaki,

Koshida,

Tanaka

et al. 2023

Applied Sciences

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Recently, some facilities have utilized the dual-energy subtraction (DES) technique for chest radiography to increase pulmonary lesion detectability. However, the availability of the technique is limited to certain facilities, in addition to other limitations, such as increased noise in high-energy images and motion artifacts with the one-shot and two-shot methods, respectively. The aim of this study was to develop artificial intelligence-based DES (AI–DES) technology for chest radiography to overcome these limitations. Using a trained pix2pix model on clinically acquired chest radiograph pairs, we successfully converted 130 kV images into virtual 60 kV images that closely resemble the real images. The averaged peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) between virtual and real 60 kV images were 33.8 dB and 0.984, respectively. We also achieved the production of soft-tissue- and bone-enhanced images using a weighted image subtraction process with the virtual 60 kV images. The soft-tissue-enhanced images exhibited sufficient bone suppression, particularly within lung fields. Although the bone-enhanced images contained artifacts on and around the lower thoracic and lumbar spines, superior sharpness and noise characteristics were presented. The main contribution of our development is its ability to provide selectively enhanced images for specific tissues using only high-energy images obtained via routine chest radiography. This suggests the potential to improve the detectability of pulmonary lesions while addressing challenges associated with the existing DES technique. However, further improvements are necessary to improve the image quality.

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Motion Artefact Reduction in Dual-Energy Radiography

Cited by 2 publications

References 6 publications

Artifacts in Dual-Energy Chest Radiography

Artifacts in Dual-Energy Chest Radiography

Development of Artificial Intelligence-Based Dual-Energy Subtraction for Chest Radiography

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