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filtered-back projection reconstruction algorithm fbp  (Philips Healthcare)

 
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    Structured Review

    Philips Healthcare filtered-back projection reconstruction algorithm fbp
    Filtered Back Projection Reconstruction Algorithm Fbp, 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/fbp+algorithm/filtered+back+projection++fbp+/pm37685359-43-6-10
    Average 90 stars, based on 1 article reviews
    filtered-back projection reconstruction algorithm fbp - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Functional Assay:

    Article Title: Radiation dose reduction for CT assessment of urolithiasis using iterative reconstruction: A prospective intra-individual study
    Article Snippet: All acquisitions were reconstructed with filtered back projection (FBP), HIR (iDose 4 level 4, Philips Healthcare) and MIR (IMR level 2, Philips Healthcare).

    Article Title: Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring.
    Article Snippet: Objective To investigate performance of 1-mm, sharp kernel, low-dose chest computed tomography (LDCT) for coronary artery calcium scoring (CACS) using deep learning (DL)–based denoising technique.. Methods This retrospective, intra-individual comparative study consisted of four image datasets of 131 participants who underwent LDCT and calcium CT on the same day between January and February 2020; 1-mm LDCT with DL, 1-mm LDCT with iterative reconstruction (IR), 3-mm LDCT, and calcium CT. CACS from calcium CT were considered as reference and CACS were categorized as 0, 1–10, 11–100, 101–400, and > 400.. We compared CACS from LDCTs with that from calcium CT.

    Article Title: Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors
    Article Snippet: The raw data was reconstructed by IR (iDose4 Level3) and filtered back projection (FBP), then analysis was conducted with functional CT software package (general perfusion and liver perfusion types) on an external BrillianceTM Workspace 4.0.2.144 (Philips).

    Article Title: Ultra-low radiation dose CT angiography of the lower extremity using the iterative model reconstruction (IMR) algorithm.
    Article Snippet: Ultra-low radiation dose CT angiography of the lower extremity using the iterative model reconstruction (IMR) algorithm W.-L. Qian , D.-J.. Zhou , Y. Jiang , C. Feng , Q. Chen , H. Wang , J.-B.. Zhang , J.-M. XU a,* Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No. 26 Daoqian Street, Suzhou 215000, Jiangsu, China Clinical Science IS, Philips Healthcare, 10, Lane 888, Tian Lin Road, Shanghai 200062, China

    Article Title: Comparison of filtered back projection and iterative reconstruction in diagnosing appendicitis at 2-mSv CT.
    Article Snippet: Purpose: To compare radiologists’ diagnostic performance and confidence, and subjective image quality between filtered back projection (FBP) and iterative reconstruction (IR) at 2-mSv appendiceal CT. Methods: The institutional review board approved this retrospective study and waived the requirement for informed consent.. We included 107 adolescents and young adults (age, 29.8 ± 8.5 years; 64 females) undergoing 2-mSv CT for suspected appendicitis.. Appendicitis was pathologically confirmed in 42 patients.

    Article Title: Radiation dose reduction in pediatric great vessel stent computed tomography using iterative reconstruction: A phantom study
    Article Snippet: Images were reconstructed with filtered back projection (FBP) and IR (iDose 4 level 3, Philips Healthcare, Best, The Netherlands).

    Software:

    Article Title: Radiation dose reduction for CT assessment of urolithiasis using iterative reconstruction: A prospective intra-individual study
    Article Snippet: All acquisitions were reconstructed with filtered back projection (FBP), HIR (iDose 4 level 4, Philips Healthcare) and MIR (IMR level 2, Philips Healthcare).

    Article Title: Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring.
    Article Snippet: Objective To investigate performance of 1-mm, sharp kernel, low-dose chest computed tomography (LDCT) for coronary artery calcium scoring (CACS) using deep learning (DL)–based denoising technique.. Methods This retrospective, intra-individual comparative study consisted of four image datasets of 131 participants who underwent LDCT and calcium CT on the same day between January and February 2020; 1-mm LDCT with DL, 1-mm LDCT with iterative reconstruction (IR), 3-mm LDCT, and calcium CT. CACS from calcium CT were considered as reference and CACS were categorized as 0, 1–10, 11–100, 101–400, and > 400.. We compared CACS from LDCTs with that from calcium CT.

    Article Title: Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors
    Article Snippet: The raw data was reconstructed by IR (iDose4 Level3) and filtered back projection (FBP), then analysis was conducted with functional CT software package (general perfusion and liver perfusion types) on an external BrillianceTM Workspace 4.0.2.144 (Philips).

    Article Title: Ultra-low radiation dose CT angiography of the lower extremity using the iterative model reconstruction (IMR) algorithm.
    Article Snippet: Ultra-low radiation dose CT angiography of the lower extremity using the iterative model reconstruction (IMR) algorithm W.-L. Qian , D.-J.. Zhou , Y. Jiang , C. Feng , Q. Chen , H. Wang , J.-B.. Zhang , J.-M. XU a,* Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No. 26 Daoqian Street, Suzhou 215000, Jiangsu, China Clinical Science IS, Philips Healthcare, 10, Lane 888, Tian Lin Road, Shanghai 200062, China

    Article Title: Comparison of filtered back projection and iterative reconstruction in diagnosing appendicitis at 2-mSv CT.
    Article Snippet: Purpose: To compare radiologists’ diagnostic performance and confidence, and subjective image quality between filtered back projection (FBP) and iterative reconstruction (IR) at 2-mSv appendiceal CT. Methods: The institutional review board approved this retrospective study and waived the requirement for informed consent.. We included 107 adolescents and young adults (age, 29.8 ± 8.5 years; 64 females) undergoing 2-mSv CT for suspected appendicitis.. Appendicitis was pathologically confirmed in 42 patients.

    Article Title: Radiation dose reduction in pediatric great vessel stent computed tomography using iterative reconstruction: A phantom study
    Article Snippet: Images were reconstructed with filtered back projection (FBP) and IR (iDose 4 level 3, Philips Healthcare, Best, The Netherlands).

    Diagnostic Assay:

    Article Title: Radiation dose reduction for CT assessment of urolithiasis using iterative reconstruction: A prospective intra-individual study
    Article Snippet: All acquisitions were reconstructed with filtered back projection (FBP), HIR (iDose 4 level 4, Philips Healthcare) and MIR (IMR level 2, Philips Healthcare).

    Article Title: Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring.
    Article Snippet: Objective To investigate performance of 1-mm, sharp kernel, low-dose chest computed tomography (LDCT) for coronary artery calcium scoring (CACS) using deep learning (DL)–based denoising technique.. Methods This retrospective, intra-individual comparative study consisted of four image datasets of 131 participants who underwent LDCT and calcium CT on the same day between January and February 2020; 1-mm LDCT with DL, 1-mm LDCT with iterative reconstruction (IR), 3-mm LDCT, and calcium CT. CACS from calcium CT were considered as reference and CACS were categorized as 0, 1–10, 11–100, 101–400, and > 400.. We compared CACS from LDCTs with that from calcium CT.

    Article Title: Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors
    Article Snippet: The raw data was reconstructed by IR (iDose4 Level3) and filtered back projection (FBP), then analysis was conducted with functional CT software package (general perfusion and liver perfusion types) on an external BrillianceTM Workspace 4.0.2.144 (Philips).

    Article Title: Ultra-low radiation dose CT angiography of the lower extremity using the iterative model reconstruction (IMR) algorithm.
    Article Snippet: Ultra-low radiation dose CT angiography of the lower extremity using the iterative model reconstruction (IMR) algorithm W.-L. Qian , D.-J.. Zhou , Y. Jiang , C. Feng , Q. Chen , H. Wang , J.-B.. Zhang , J.-M. XU a,* Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No. 26 Daoqian Street, Suzhou 215000, Jiangsu, China Clinical Science IS, Philips Healthcare, 10, Lane 888, Tian Lin Road, Shanghai 200062, China

    Article Title: Comparison of filtered back projection and iterative reconstruction in diagnosing appendicitis at 2-mSv CT.
    Article Snippet: Purpose: To compare radiologists’ diagnostic performance and confidence, and subjective image quality between filtered back projection (FBP) and iterative reconstruction (IR) at 2-mSv appendiceal CT. Methods: The institutional review board approved this retrospective study and waived the requirement for informed consent.. We included 107 adolescents and young adults (age, 29.8 ± 8.5 years; 64 females) undergoing 2-mSv CT for suspected appendicitis.. Appendicitis was pathologically confirmed in 42 patients.

    Article Title: Radiation dose reduction in pediatric great vessel stent computed tomography using iterative reconstruction: A phantom study
    Article Snippet: Images were reconstructed with filtered back projection (FBP) and IR (iDose 4 level 3, Philips Healthcare, Best, The Netherlands).



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