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Philips Healthcare hybrid iterative reconstruction algorithm
Hybrid Iterative Reconstruction 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/iterative+algorithm/algorithm+hybrid+iterative+reconstruction/pm42302439-63-1-9
Average 86 stars, based on 1 article reviews
hybrid iterative reconstruction algorithm - by Bioz Stars, 2026-09
86/100 stars

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Article Title: Diagnostic accuracy of dual-layer spectral computed tomography virtual monoenergetic imaging with multiplanar reformation for T-staging of colorectal cancer
Article Snippet: In contrast, PEIs were reconstructed with an iterative reconstruction algorithm (iDose 4 , Philips Healthcare) employing a standard soft tissue kernel.

Article Title: Differentiation of non-hypervascular non-functional pancreatic neuroendocrine neoplasms from solid pseudopapillary neoplasms using dual-layer spectral detector CT
Article Snippet: Conventional 120 kVp polyenergetic images were also reconstructed using a hybrid iterative reconstruction algorithm (iDose 4, level 3, Philips Healthcare).

Article Title: Ultrafast non-ECG-gated cardiac spectral CT scanning for myocardial late iodine enhancement assessment: a feasibility study
Article Snippet: The acquired volume was then reconstructed using Iterative Model Reconstruction algorithm (IMR1, Philips The Netherlands) and sent to dedicated workstations (IntelliSpace Portal, Philips, The Netherlands).

Article Title: The accuracy of spectral CT with quantitative parameters in differentiating septic from aseptic periprosthetic complications
Article Snippet: Conventional images were computed using a hybrid iterative reconstruction algorithm (iDose 4, level 3; Philips Healthcare).

Article Title: The accuracy of spectral CT with quantitative parameters in differentiating septic from aseptic periprosthetic complications.
Article Snippet: Conventional images were computed using a hybrid iterative reconstruction algorithm (iDose 4, level 3; Philips Healthcare).

Article Title: Ultrafast non-ECG-gated cardiac spectral CT scanning for myocardial late iodine enhancement assessment: a feasibility study.
Article Snippet: The acquired volume was then reconstructed using Iterative Model Reconstruction algorithm (IMR1, Philips The Netherlands) and sent to dedicated workstations (IntelliSpace Portal, Philips, The Netherlands).

Preserving:

Article Title: Automated quantitative chest CT for mortality prediction in COVID-19 patients in a resource-limited emergency setting in Gaza: a retrospective study using LungCTAnalyzer.
Article Snippet: 1 Department of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200 Kepala Batas, Pulau Pinang, Malaysia 2 Medical Imaging Department, Applied Medical Sciences Faculty, Al Azhar University-Gaza, P.O.. Box 1277, Gaza City, Palestine 3 Department of Community Health, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200 Kepala Batas, Pulau Pinang, Malaysia Abstract Purpose To assess the prognostic value of automated quantitative chest CT metrics in predicting in-hospital mortality among patients with COVID-19 pneumonia admitted through the emergency department in a resource-limited setting in Gaza.. Methods This retrospective study included 300 adult patients with RT-PCR–confirmed COVID-19 pneumonia who underwent non-contrast chest CT upon hospital admission.



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