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Philips Healthcare post processing workstation
Post Processing Workstation, 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/post+processing+workstation/post+processing+workstation/pm42287903-74-35-41
Average 86 stars, based on 1 article reviews
post processing workstation - by Bioz Stars, 2026-11
86/100 stars

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Article Title: Preoperative prediction of tumor budding in colorectal cancer based on quantitative parameters of dual-layer detector spectral computed tomography: a preliminary study
Article Snippet: SDCT image data were sent to a post-processing workstation (IntelliSpace Portal, 10.1, Philips Healthcare, Netherlands) for the reconstruction of 40 and 120 keV virtual monoenergetic pictures, iodine density maps, and Zeff maps during arterial and venous phases.

Article Title: Dual-layer spectral detector CT for improved assessment of right adrenal vein in patients with primary aldosteronism
Article Snippet: The same raw data from each enhancement phase were used to reconstruct conventional 120 kVp polyenergetic images (PEI) and VMI at 40–70 keV (VMI 40–70 ) in 10 keV increments on a post-processing workstation (IntelliSpace Portal, Philips Healthcare, Netherlands).

Article Title: Incremental Value of Non‐Gated Chest CT Coronary Artery Calcium Score in Predicting Major Adverse Cardiovascular Events by GRACE Score After Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome
Article Snippet: All CT images were transferred to a post‐processing workstation (IntelliSpace Portal Vision 9.0 Philips Healthcare, Best, The Netherlands) and independently evaluated and analyzed by two experienced cardiovascular radiologists.

Article Title: Incremental Value of Non-Gated Chest CT Coronary Artery Calcium Score in Predicting Major Adverse Cardiovascular Events by GRACE Score After Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome.
Article Snippet: All CT images were transferred to a post‐processing workstation (IntelliSpace Portal Vision 9.0 Philips Healthcare, Best, The Netherlands) and independently evaluated and analyzed by two experienced cardiovascular radiologists.

Article Title: The application of deep learning-based artificial intelligence algorithms combined with low-dose scanning protocols in chest CT
Article Snippet: All the images from each group were imported into the graphical post-processing workstation (Philips IntelliSpace Portal 10.0, Philips Healthcare).

Article Title: Dual-layer spectral detector CT for improved assessment of right adrenal vein in patients with primary aldosteronism.
Article Snippet: The same raw data from each enhancement phase were used to reconstruct conventional 120 kVp polyenergetic images (PEI) and VMI at 40–70 keV (VMI40–70) in 10 keV increments on a post-processing workstation (IntelliSpace Portal, Philips Healthcare, Netherlands).

Generated:

Article Title: Interpretable radiomics model based on dual-layer spectral CT iodine maps for predicting microsatellite instability in colorectal cancer: A two-center study.
Article Snippet: Purpose: To develop and validate an interpretable radiomics model using dual-layer detector spectral CT (DLSCT)-derived iodine maps to preoperatively predict Microsatellite instability (MSI) status in colorectal cancer (CRC).. Method: A total of 255 CRC patients who underwent DLSCT were retrospectively included from two independent centers.. Tumor iodine concentrations (IC) and normalized iodine concentrations (NIC) were measured and calculated.



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