Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR). - Wikidata - awgldk - TriplyDB

Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR).

Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR).

http://www.wikidata.org/entity/Q45831420

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Lesion insertion in the projection domain: Methods and initial results Inter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data.An Official American Thoracic Society Research Statement: A Research Framework for Pulmonary Nodule Evaluation and Management.Evaluating iterative reconstruction performance in computed tomography.Preoperative Prediction of Ki-67 Labeling Index By Three-dimensional CT Image Parameters for Differential Diagnosis Of Ground-Glass Opacity (GGO).Size-specific optimization of CT protocols based on minimum detectability.Image quality improvement using model-based iterative reconstruction in low dose chest CT for children with necrotizing pneumonia Can conclusions drawn from phantom-based image noise assessments be generalized to in vivo studies for the nonlinear model-based iterative reconstruction method?Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT.Statistical model based iterative reconstruction (MBIR) in clinical CT systems: experimental assessment of noise performance.A new CT reconstruction technique using adaptive deformation recovery and intensity correction (ADRIC).A method to extract image noise level from patient images in CT.Variability in CT lung-nodule volumetry: Effects of dose reduction and reconstruction methods.Statistical model based iterative reconstruction (MBIR) in clinical CT systems. Part II. Experimental assessment of spatial resolution performance.Estimability index for volume quantification of homogeneous spherical lesions in computed tomography.Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules.Efficacy of model-based iterative reconstruction technique in non-enhanced CT of the renal tracts for ureteric calculi.Evaluation of a projection-domain lung nodule insertion technique in thoracic computed tomography.Quantum noise properties of CT images with anatomical textured backgrounds across reconstruction algorithms: FBP and SAFIRE.Assessment of volumetric noise and resolution performance for linear and nonlinear CT reconstruction methods.Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.

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Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR).

http://www.wikidata.org/entity/Q45831420

description

2013 nî lūn-bûn

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2013年の論文

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年學術文章

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2013年學術文章

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2013年學術文章

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name

Volumetric quantification of l ...... econstruction (ASiR and MBIR).

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Volumetric quantification of lung nodules in CT with iterative reconstruction

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type

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Volumetric quantification of l ...... econstruction (ASiR and MBIR).

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Volumetric quantification of lung nodules in CT with iterative reconstruction

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Volumetric quantification of l ...... econstruction (ASiR and MBIR).

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Volumetric quantification of lung nodules in CT with iterative reconstruction

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Medical Physics

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Volumetric quantification of l ...... econstruction (ASiR and MBIR).

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P2093

Baiyu Chen

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Ehsan Samei

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Huiman Barnhart

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James Colsher

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Marthony Robins

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Samuel Richard

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P2860

New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada

Applications of the repeatability of quantitative imaging biomarkers: a review of statistical analysis of repeat data sets

Noncalcified lung nodules: volumetric assessment with thoracic CT

Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study.

Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm.

Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm--initial clinical experience.

New iterative reconstruction techniques for cardiovascular computed tomography: how do they work, and what are the advantages and disadvantages?

Towards task-based assessment of CT performance: System and object MTF across different reconstruction algorithms.

A three-dimensional statistical approach to improved image quality for multislice helical CT.

Quantitative CT: technique dependence of volume estimation on pulmonary nodules.

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scholarly article

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10.1118/1.4823463

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24320435

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