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Canon inc 1-nex images nex1
Results of SNR and CNR from <t> NEX1, </t> NEX1 + dDLR and NEX5 of healthy volunteers and patients with PD
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Image Search Results


Results of SNR and CNR from  NEX1,  NEX1 + dDLR and NEX5 of healthy volunteers and patients with PD

Journal: Japanese Journal of Radiology

Article Title: Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance

doi: 10.1007/s11604-023-01452-9

Figure Lengend Snippet: Results of SNR and CNR from NEX1, NEX1 + dDLR and NEX5 of healthy volunteers and patients with PD

Article Snippet: Denoising was applied to 1-NEX images (NEX1) using a commercially available deep learning-based reconstruction algorithm (Advanced intelligent Clear-IQ Engine [AiCE]; Canon Medical Systems) to create NEX1 + dDLR.

Techniques:

Diagnostic performance of  NEX1  and  NEX1  + dDLR in differentiating PD from non-PD

Journal: Japanese Journal of Radiology

Article Title: Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance

doi: 10.1007/s11604-023-01452-9

Figure Lengend Snippet: Diagnostic performance of NEX1 and NEX1 + dDLR in differentiating PD from non-PD

Article Snippet: Denoising was applied to 1-NEX images (NEX1) using a commercially available deep learning-based reconstruction algorithm (Advanced intelligent Clear-IQ Engine [AiCE]; Canon Medical Systems) to create NEX1 + dDLR.

Techniques: Diagnostic Assay

Diagnostic performance by visual assessment of  NEX1  and  NEX1  + dDLR for differentiation between healthy volunteers and patients with PD

Journal: Japanese Journal of Radiology

Article Title: Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance

doi: 10.1007/s11604-023-01452-9

Figure Lengend Snippet: Diagnostic performance by visual assessment of NEX1 and NEX1 + dDLR for differentiation between healthy volunteers and patients with PD

Article Snippet: Denoising was applied to 1-NEX images (NEX1) using a commercially available deep learning-based reconstruction algorithm (Advanced intelligent Clear-IQ Engine [AiCE]; Canon Medical Systems) to create NEX1 + dDLR.

Techniques: Diagnostic Assay, Biomarker Discovery

Box-and-whisker plots and scatter plots of contrast ratios for the substantia nigra and locus coeruleus in patients with PD and non-PD patients from NEX1 and NEX1 + dDLR. Contrast ratios of patients with PD were significantly lower than those of non-PD patients for both images. PD Parkinson’s disease

Journal: Japanese Journal of Radiology

Article Title: Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance

doi: 10.1007/s11604-023-01452-9

Figure Lengend Snippet: Box-and-whisker plots and scatter plots of contrast ratios for the substantia nigra and locus coeruleus in patients with PD and non-PD patients from NEX1 and NEX1 + dDLR. Contrast ratios of patients with PD were significantly lower than those of non-PD patients for both images. PD Parkinson’s disease

Article Snippet: Denoising was applied to 1-NEX images (NEX1) using a commercially available deep learning-based reconstruction algorithm (Advanced intelligent Clear-IQ Engine [AiCE]; Canon Medical Systems) to create NEX1 + dDLR.

Techniques: Whisker Assay