standard soft tissue kernel (Philips Healthcare)
86
Structured Review
Philips Healthcare
standard soft tissue kernel
Standard Soft Tissue Kernel, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/kernels/kernel+reconstruction+soft+tissue/pmc13264170-5-3-6
Average 86 stars, based on 1 article reviews
Standard Soft Tissue Kernel, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/kernels/kernel+reconstruction+soft+tissue/pmc13264170-5-3-6
Average 86 stars, based on 1 article reviews
standard soft tissue kernel - by Bioz Stars,
2026-09
86/100 stars
Images
Related Articles
other:Article Title: Effect of Chest Computed Tomography Kernel Use on Emphysema Score in Severe Chronic Obstructive Pulmonary Disease Patients Evaluated for Lung Volume Reduction. Article Snippet: Categorization of Article Title: Opportunistic automated aortic valve calcification assessment in low-cost, screening CT calcium score exams. Article Snippet: In our cohort of “coned down” images, the Article Title: Significance of Image Reconstruction Parameters for Future Lung Cancer Risk Prediction Using Low-Dose Chest Computed Tomography and the Open-Access Sybil Algorithm Article Snippet: Purpose: Sybil is a validated publicly available deep learning–based algorithm that can accurately predict lung cancer risk from a single low-dose computed tomography (LDCT) scan.. We aimed to study the effect of image reconstruction parameters and CT scanner manufacturer on Sybil's performance.. Materials andMethods:Using LDCTs of a subset of the National Lung Screening Trial participants, which we previously used for internal validation of the Sybil algorithm (test set), we ran the Sybil algorithm on LDCT series pairs matched on kilovoltage peak, milliampere-seconds, reconstruction interval, reconstruction diameter, and either reconstruction filter or axial slice thickness. Article Title: Opportunistic automated aortic valve calcification assessment in low-cost, screening CT calcium score exams Article Snippet: Both gave similar noise characteristics and much less noise than some kernels used to reconstruct the entire chest in a manner suitable for Article Title: Monetite-based composite cranial implants demonstrate long-term clinical volumetric balance by concomitant bone formation and degradation. Article Snippet: All images were reconstructed with Article Title: Carotid perivascular adipose tissue attenuation predicts stroke and TIA in symptomatic carotid artery disease patients. Article Snippet: Images were reconstructed with a field of view of 120–160 mm, a matrix size of 512 × 512, a slice thickness of 1.0 mm, an increment of 0.6–0.7 mm, and Article Title: Transformer-Based Multi-Modal Data Fusion Method for COPD Classification and Physiological and Biochemical Indicators Identification. Article Snippet: For this study, the CT images were reconstructed using smooth reconstruction kernels, such as Siemens B31f or |
