Demonstration of Mitral Valve Prolapse with CT for Planning of Mitral Valve Repair

Koo, Hyun Jung; Yang, Dong Hyun; Oh, Sang Young; Kang, Joon‐Won; Kim, Dae–Hee; Song, Jae‐Kwan; Lee, Jae Won; Chung, Cheol Hyun; Lim, Tae‐Hwan

doi:10.1148/rg.346130146

Cited by 39 publications

(32 citation statements)

References 29 publications

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“…Cardiac MDCT has several strengths, including:fast imaging time (<10 s) and widespread availabilityexcellent spatial resolution (≃0.5 mm) with voxel isotropy, allowing for high quality 2D and 3D reconstructions of the mitral valve and subvalvular apparatus at any time point of the cardiac cyclehigh reproducibility and relative operator-independencedirect visualisation and quantification of mitral calcificationspanoramic view of the whole heart (including the coronary arteries, the aortic root and the left ventricular outflow tract) and the chest wall [5,6,11,12,[17], [18], [19], [20]]. …”

Section: Mdct Image Acquisition Protocolmentioning

confidence: 99%

“…panoramic view of the whole heart (including the coronary arteries, the aortic root and the left ventricular outflow tract) and the chest wall [5,6,11,12,[17], [18], [19], [20]]. …”

Section: Mdct Image Acquisition Protocolmentioning

confidence: 99%

“…1). In order to accurately assess the mitral valve morphology and size during the various phases of the cardiac cycle, a recommended approach is to perform a retrospectively ECG-gated acquisition and reconstruct MDCT datasets every 5% or 10% of the R-R interval from 0% to 90% [20].

Fig.…”

Section: Mdct Image Acquisition Protocolmentioning

confidence: 99%

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Preprocedural planning of transcatheter mitral valve interventions by multidetector CT: What the radiologist needs to know

Faggioni

Gabelloni

Accogli

et al. 2018

European Journal of Radiology Open

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Mitral regurgitation is the most common valve disorder in the Western world, and although surgery is the established therapeutic gold standard, percutaneous transcatheter mitral interventions are gaining acceptance in selected patients who are inoperable or at an exceedingly high surgical risk. For such patients, multidetector computed tomography (MDCT) can provide a wealth of valuable morphological and functional information in the preoperative setting. Our aim is to give an overview of the MDCT image acquisition protocols, post-processing techniques, and imaging findings with which radiologists should be familiar to convey all relevant information to the Heart Team for successful treatment planning.

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Section: Mdct Image Acquisition Protocolmentioning

confidence: 99%

“…panoramic view of the whole heart (including the coronary arteries, the aortic root and the left ventricular outflow tract) and the chest wall [5,6,11,12,[17], [18], [19], [20]]. …”

Section: Mdct Image Acquisition Protocolmentioning

confidence: 99%

See 1 more Smart Citation

Preprocedural planning of transcatheter mitral valve interventions by multidetector CT: What the radiologist needs to know

Faggioni

Gabelloni

Accogli

et al. 2018

European Journal of Radiology Open

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“…Similarly, mitral valve regurgitation and stenosis may be evaluated by CCTA, though it is much less well studied [185][186][187][188][189]. Structural characteristics of the normal and degenerative mitral valve may be characterized by CCTA [185,186].…”

Section: Assessment Of Native and Prosthetic Cardiac Valves Using Cctamentioning

confidence: 99%

“…Structural characteristics of the normal and degenerative mitral valve may be characterized by CCTA [185,186]. Mitral valve prolapse can be identified [187,188]. The mitral valve orifice area can be planimetered [189].…”

Section: Assessment Of Native and Prosthetic Cardiac Valves Using Cctamentioning

confidence: 99%

Cardiac CT Angiography Manual

Pelberg

2015

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Cycle‐consistent adversarial denoising network for multiphase coronary CT angiography

et al. 2018

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Purpose In multiphase coronary CT angiography (CTA), a series of CT images are taken at different levels of radiation dose during the examination. Although this reduces the total radiation dose, the image quality during the low‐dose phases is significantly degraded. Recently, deep neural network approaches based on supervised learning technique have demonstrated impressive performance improvement over conventional model‐based iterative methods for low‐dose CT. However, matched low‐ and routine‐dose CT image pairs are difficult to obtain in multiphase CT. To address this problem, we aim at developing a new deep learning framework. Method We propose an unsupervised learning technique that can remove the noise of the CT images in the low‐dose phases by learning from the CT images in the routine dose phases. Although a supervised learning approach is not applicable due to the differences in the underlying heart structure in two phases, the images are closely related in two phases, so we propose a cycle‐consistent adversarial denoising network to learn the mapping between the low‐ and high‐dose cardiac phases. Results Experimental results showed that the proposed method effectively reduces the noise in the low‐dose CT image while preserving detailed texture and edge information. Moreover, thanks to the cyclic consistency and identity loss, the proposed network does not create any artificial features that are not present in the input images. Visual grading and quality evaluation also confirm that the proposed method provides significant improvement in diagnostic quality. Conclusions The proposed network can learn the image distributions from the routine‐dose cardiac phases, which is a big advantage over the existing supervised learning networks that need exactly matched low‐ and routine‐dose CT images. Considering the effectiveness and practicability of the proposed method, we believe that the proposed can be applied for many other CT acquisition protocols.

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Demonstration of Mitral Valve Prolapse with CT for Planning of Mitral Valve Repair

Cited by 39 publications

References 29 publications

Preprocedural planning of transcatheter mitral valve interventions by multidetector CT: What the radiologist needs to know

Preprocedural planning of transcatheter mitral valve interventions by multidetector CT: What the radiologist needs to know

Cardiac CT Angiography Manual

Cycle‐consistent adversarial denoising network for multiphase coronary CT angiography

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