hybrid iterative reconstruction algorithm idose 4 (Philips Healthcare)
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Philips Healthcare
hybrid iterative reconstruction algorithm idose 4
Hybrid Iterative Reconstruction Algorithm Idose 4, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hybrid-iterative+reconstruction+algorithm+idose+4/idose4/pm39720959-53-6-14
Average 90 stars, based on 1 article reviews
Hybrid Iterative Reconstruction Algorithm Idose 4, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hybrid-iterative+reconstruction+algorithm+idose+4/idose4/pm39720959-53-6-14
Average 90 stars, based on 1 article reviews
hybrid iterative reconstruction algorithm idose 4 - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Abdominal vessel depiction on virtual triphasic spectral detector CT: initial clinical experience Article Snippet: Conventional venous and arterial phase images as well as TNC images were reconstructed using a hybrid-iterative reconstruction algorithm, which is established in clinical Article Title: Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation. Article Snippet: Purpose: Aim of this study was to develop and evaluate a software toolkit, which allows for a fully automated body composition analysis in contrast enhanced abdominal computed tomography leveraging the strengths of both, quantitative information from dual energy computed tomography and simple detection and segmentation tasks performed by deep convolutional neuronal networks (DCNN).. Methods and materials: Both, public and private datasets were used to train and validate DCNN.. A combination of two DCNN and quantitative thresholding was used to classify axial CT slices to the abdominal region, classify voxels as fat and muscle and to differentiate between subcutaneous and visceral fat. Article Title: Evaluating anemia using contrast-enhanced spectral detector CT of the chest in a large cohort of 522 patients Article Snippet: Conventional images of portal venous and angiographic scans were reconstructed using a Article Title: Virtual non-contrast for evaluation of liver parenchyma and vessels: results from 25 patients using multi-phase spectral-detector CT. Article Snippet: Background: In abdominal imaging, contrast-enhanced computed tomography (CT) examinations are most commonly applied; however, unenhanced examinations are still needed for several clinical questions but require additional scanning and radiation exposure.. Purpose: To evaluate accuracy of virtual non-contrast (VNC) from arterial and venous phase spectral-detector CT (SDCT) scans compared to true-unenhanced (TNC) images for the evaluation of liver parenchyma and vessels.. Material and Methods: A total of 25 patients undergoing triphasic SDCT examinations were included. Article Title: Value of spectral detector CT for pretherapeutic, locoregional assessment of esophageal cancer. Article Snippet: Purpose: To investigate the diagnostic value of spectral detector dual-energy CT-derived low-keV virtual monoenergetic images (VMI) and iodine overlays (IO) for locoregional, pretherapeutic assessment of esophageal cancer.. Method: 74 patients with biopsy-proven esophageal cancer who underwent pre-therapeutic, portal-venous-phase staging examinations of the chest and abdomen were retrospectively included.. Quantitative image analysis was performed ROI-based within the tumor, healthy esophageal wall, peri-esophageal lymph nodes, azygos vein, aorta, liver, diaphragm, and mediastinal fat. Article Title: Iodine overlays to improve differentiation between peritoneal carcinomatosis and benign peritoneal lesions. Article Snippet: Objectives Peritoneal carcinomatosis (PC) is a prognostically relevant metastatic disease which may be difficult to depict in postoperative patients, particularly in early stages.. This study aimed to determine whether PC could be diagnosed more accurately when using a combination of spectral detector CT (SDCT)-derived conventional images (CI) and iodine overlay images (IO) compared with CI only.. Methods Thirty patients with PC and 30 patients with benign peritoneal alterations (BPA) who underwent portal-venous abdominal SDCT were included. |