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Philips Healthcare idose4 algorithm
Idose4 Algorithm, 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/idose4+algorithm/idose4/pmc12397641-126-6-8
Average 86 stars, based on 1 article reviews
idose4 algorithm - by Bioz Stars, 2026-09
86/100 stars

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Article Title: Dual-layer spectral detector computed tomography multiparameter machine learning model for prediction of invasive lung adenocarcinoma
Article Snippet: Reconstruction of conventional images employed the iDose4 algorithm developed by Philips Healthcare, whereas specialized spectral reconstruction algorithms were utilized for reconstructing spectral-based images (SBIs).

Article Title: Spectral photon-counting CT system: Toward improved image quality performance in conventional and spectral CT imaging.
Article Snippet: Conventional computed tomography (CT) systems most often include energy-integrating detectors.. These indirect conversion detectors are composed of scintillators coupled with photodiodes to convert the transmitted photons into an electronic signal.. However, the size of these detectors is limited (most often ≥ 500 m) and electronic noise is generated inside the readout circuit of each pixel, limiting spatial resolution and final performance.

Article Title: Coronary calcium scoring potential of large field-of-view spectral photon-counting CT: a phantom study.
Article Snippet: To counteract increased image noise at reduced slice thickness, several iterative reconstruction (IR) levels (iDose4 algorithm, Philips Healthcare) were added.

Article Title: CT simulation optimization for radiation therapy contouring tasks
Article Snippet: New iterative reconstruction algorithms, such as Philips iDose4 algorithm, may be utilized to achieve better image quality for large sized patients.

Article Title: Dual-layer spectral detector computed tomography for adrenal adenoma characterization: radiation dose reduction and quantitative agreement of multiphase virtual noncontrast with true noncontrast imaging
Article Snippet: Conventional images were reconstructed with the iDose4 algorithm (Philips Healthcare), while spectral-based images were reconstructed with a spectral level 4 algorithm.

Article Title: Dual-energy CT parameters in correlation to MRI-based apparent diffusion coefficient: evaluation in rectal cancer after radiochemotherapy
Article Snippet: Conventional and spectral basis images were reconstructed using the iDose4 (Philips Healthcare, The Netherlands) algorithm.

Article Title: Dual-energy CT-based radiomics for predicting pathological grading of invasive lung adenocarcinoma.
Article Snippet: Dual-energy CT-based radiomics for predicting pathological grading of invasive lung adenocarcinoma Y. Zheng a,b,y, H. Li a,b,y, K. Zhang , Q. Luo , C. Ding , X. Han **, H. Shi a,b,* Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, China Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China Bayer Healthcare, No. 399, West Haiyang Road, Shanghai 200126, China

Article Title: Dual-energy CT-based radiomics for predicting invasiveness of lung adenocarcinoma appearing as ground-glass nodules
Article Snippet: Conventional images were reconstructed using the iDose4 (Philips Healthcare) algorithm, and spectral-based images (SBIs) were reconstructed using a spectral reconstruction algorithm.



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