Enhanced coronary calcium visualization and detection from dual energy chest x-rays with sliding organ registration

Wen, Di; Nye, Katelyn; Zhou, Bo; Gilkeson, Robert C.; Gupta, Amit; Ranim, Shiraz; Couturier, Spencer; Wilson, David L.

doi:10.1016/j.compmedimag.2018.01.004

Cited by 11 publications

(5 citation statements)

References 25 publications

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“…Recently, Di Wen at al developed and studied the use of dual-energy coronary calcium (DECC) processing method for CAC detection through dual energy chest radiograph, which provides low cost and radiation solution to CAC screening. 12 Before this study, Neves et al 13 reported a case of CAC detection in routine chest radiograph in a patient with the endstage renal disease. These studies divert our attention towards the use of Chest X rays -dual energy or routine Chest X rays-for coronary artery calcium detection and demand more research in this regard.…”

Section: Cac and Chest X Raysmentioning

confidence: 92%

Coronary artery calcium–a review article

Iqbal¹,

Hussain²,

Iqbal³

2018

IJRRT

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Coronary artery calcium formation is an organized metabolic process which is similar to bone formation. Calcification occurs in both intima (atherosclerotic) as well as in media of coronary arteries. Inflammatory mediators and elevated lipid content within atherosclerosis are associated with intimal calcification whereas diabetes, advanced age and chronic kidney diseases (CKD) are associated with medial calcification. 14,15 Three common steps of coronary artery calcification are: a. Osteoblastic differentiation b. Bone-associated proteins formation c. Mineralization

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Section: Cac and Chest X Raysmentioning

confidence: 92%

Coronary artery calcium–a review article

Iqbal¹,

Hussain²,

Iqbal³

2018

IJRRT

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“…Dual-energy chest radiography in the PA projection is a mature technique, with many reports outlining advantages 14–16 . Dual-energy imaging to detect coronary calcium has been described previously, but adoption of the technique has been limited by partial obscuration of the coronary arteries on the PA projection by the overlapping sternum, vertebral bodies, and rib end cartilage calcification 17–19 . Because of this limitation, we implemented performing dual-energy chest radiographs in the lateral projection using existing equipment.…”

Section: Key Pointmentioning

confidence: 99%

“…[14][15][16] Dual-energy imaging to detect coronary calcium has been described previously, but adoption of the technique has been limited by partial obscuration of the coronary arteries on the PA projection by the overlapping sternum, vertebral bodies, and rib end cartilage calcification. [17][18][19] Because of this limitation, we implemented performing dual-energy chest radiographs in the lateral projection using existing equipment. With technique refinements and training of technologists and radiologists, we now report our experience, with CT correlation.…”

mentioning

confidence: 99%

Opportunistic Detection of Coronary Calcium on Dual-Energy Lateral Chest Radiograph

Boswell

Fong

Nayak

2022

J Comput Assist Tomogr

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Heart disease remains the leading cause of death among men and women in the world. The majority of cardiac morbidity worldwide is secondary to atherosclerotic coronary disease. In this article, we discuss our experience using dual exposure, dual-energy lateral chest x-ray (CXR) technique to detect coronary calcium. Similar to other reports demonstrating opportunistic detection on imaging studies, here we demonstrate the added value of detection of coronary calcium on the lateral CXR. This technique reinforces the importance of "knowing where to look" and to recognize the appearance of coronary calcium wherein subtle cardiac motion can be a useful artifact in the accurate detection of coronary calcium. In addition, we discuss correlating coronary calcium burden with age, elaborate on the physics behind coronary calcium detection, and how best to optimize imaging technique. Lastly, we show other uses of dual-energy lateral CXR technique to illustrate where using material decomposition and subtle motion can better define contours in the mediastinum and lung.

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“…It is a low-cost, low radiation and fast imaging exam. Recent studies also demonstrated the chest radiography's application on detection and evaluation of coronary artery diseases, which are usually evaluated using Computed Tomography (CT) with expensive cost and high radiation dose [10,11,12]. CAD techniques have been widely applied in chest radiography for task such as automatic diagnosis and patient image retrieval.…”

Section: Related Workmentioning

confidence: 99%

A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities

Zhou,

Li,

Wang

2018

Preprint

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We present a weakly supervised deep learning model for classifying thoracic diseases and identifying abnormalities in chest radiography. In this work, instead of learning from medical imaging data with region-level annotations, our model was merely trained on imaging data with image-level labels to classify diseases, and is able to identify abnormal image regions simultaneously. Our model consists of a customized pooling structure and an adaptive DenseNet front-end, which can effectively recognize possible disease features for classification and localization tasks. Our method has been validated on the publicly available ChestX-ray14 dataset. Experimental results have demonstrated that our classification and localization prediction performance achieved significant improvement over the previous models on the ChestX-ray14 dataset. In summary, our network can produce accurate disease classification and localization, which can potentially support clinical decisions.

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Enhanced coronary calcium visualization and detection from dual energy chest x-rays with sliding organ registration

Cited by 11 publications

References 25 publications

Coronary artery calcium–a review article

Coronary artery calcium–a review article

Opportunistic Detection of Coronary Calcium on Dual-Energy Lateral Chest Radiograph

A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities

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