Dr. Florian Beyer Profile

Dr. Florian Beyer

at Westfälische Wilhelms-Univ Münster

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Publications (8)

Proceedings Article | 28 February 2009 Paper

Acoustical markers for CAD-detected pulmonary nodules in chest CT: A way to avoid suggestion and distraction of radiologist's attention?

Florian Beyer, Walter Heindel, Dag Wormanns

Proceedings Volume 7260, 72602V (2009) https://doi.org/10.1117/12.811406

KEYWORDS: Computer aided diagnosis and therapy, Radio optics, Computed tomography, Chest, Visualization, CAD systems, Lung, Computer aided design, Sensors, Lung cancer

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Proceedings Article | 31 March 2007 Paper

Visualization of CAD results to the radiologist: Influence of the marker type on radiologist's sensitivity for the detection of pulmonary nodules

Florian Beyer, Stefan Diederich, Walter Heindel, Dag Wormanns

Proceedings Volume 6514, 651426 (2007) https://doi.org/10.1117/12.708897

KEYWORDS: Computer aided diagnosis and therapy, Visualization, Computed tomography, Chest, Lung, Diagnostics, Human-machine interfaces, Sensors, Lung cancer, CAD systems

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Proceedings Article | 17 March 2006 Paper

Comparison of sensitivity and reading time for the use of computer aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader

F. Beyer, L. Zierott, E. Fallenberg, K. Juergens, J. Stoeckel, W. Heindel, D. Wormanns

Proceedings Volume 6146, 614617 (2006) https://doi.org/10.1117/12.652051

KEYWORDS: Computer aided diagnosis and therapy, Computer aided design, CAD systems, Computed tomography, Chest, Lung, Radiology, Prototyping, Sensors, Diagnostics

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Proceedings Article | 17 March 2006 Paper

Potential effect of CAD systems on the detection of actionable nodules in chest CT scans during routine reporting

Dag Wormanns, Florian Beyer, Arnauld Butzbach, Livia Zierott, Walter Heindel

Proceedings Volume 6146, 614618 (2006) https://doi.org/10.1117/12.652346

KEYWORDS: Computed tomography, CAD systems, Computer aided diagnosis and therapy, Lung, Chest, Lung cancer, Computer aided design, Radiology, Medical imaging, Image processing

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The purpose of the presented study was to determine the impact of two different CAD systems used as concur-rent reader for detection of actionable nodules (>4 mm) on the interpretation of chest CT scans during routine reporting. Fifty consecutive MDCT scans (1 mm or 1.25 mm slice thickness, 0.8 mm reconstruction increment) were se-lected from clinical routine. All cases were read by a resident and a staff radiologist, and a written report was available in the radiology information system (RIS). The RIS report mentioned at least one actionable pulmonary nodule in 18 cases (50%) and did not report any pulmonary nodule in the remaining 32 cases. Two different recent CAD systems were independently applied to the 50 CT scans as concurrent reader with two radiologists: Siemens LungCare NEV and MEDIAN CAD-Lung. Two radiologists independently reviewed the CAD results and determined if a CAD result was a true positive or a false positive finding. Patients were classified into two groups: in group A if at least one actionable nodule was detected and in group B if no actionable nodules were found. The effect of CAD on routine reporting was simulated as set union of the findings of routine reporting and CAD thus applying CAD as concurrent reader. According to the RIS report group A (patients with at least one actionable nodule) contained 18 cases (36% of all 50 cases), and group B contained 32 cases. Application of a CAD system as concurrent reader resulted in detec-tion of additional CT scans with actionable nodules and reclassification into group A in 16 resp. 18 cases (radi-ologist 1 resp. radiologist 2) with Siemens NEV and in 19 resp. 18 cases with MEDIAN CAD-Lung. In seven cases MEDIAN CAD-Lung and in four cases Siemens NEV reclassified a case into group A while the other CAD system missed the relevant finding. Sensitivity on a nodule (>4 mm) base was .45 for Siemens NEV and .55 for MEDIAN CAD-Lung; the difference was not yet significant (p=.077). In our study use of CAD as second reader in routine reporting doubled the percentage of patients with actionable nodules larger than 4 mm.

Proceedings Article | 14 April 2005 Paper

Clinical value of CT-based preoperative software assisted lung lobe volumetry for predicting postoperative pulmonary function after lung surgery

Dag Wormanns, Florian Beyer, Petra Hoffknecht, Volker Dicken, Jan-Martin Kuhnigk, Tobias Lange, Michael Thomas, Walter Heindel

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.592905

KEYWORDS: Lung, Surgery, Pulmonary function tests, Computed tomography, Lung cancer, Image segmentation, Emphysema, Chest, Tumors, Error analysis

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Proceedings Article | 14 April 2005 Paper

Improved sensitivity of dynamic CT with a new visualization method for radial distribution of lung nodule enhancement

Rafael Wiemker, Dag Wormanns, Florian Beyer, Thomas Blaffert, Thomas Buelow

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.592376

KEYWORDS: Lung, Computed tomography, Visualization, Diagnostics, Biopsy, Image segmentation, Image enhancement, CT reconstruction, Chest, Lawrencium

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Proceedings Article | 6 April 2005 Paper

Comparison of the diagnostic performance of a CAD system for automatic detection of pulmonary nodules with single and double reading and its dependency on nodule size

Florian Beyer, Dag Wormanns, Stefan Diederich, Karl Ludwig, Walter Heindel

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.592130

KEYWORDS: Computer aided diagnosis and therapy, Computer aided design, CAD systems, Computed tomography, Diagnostics, Lung, Lung cancer, Prototyping, Radiology, Computing systems

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Proceedings Article | 4 May 2004 Paper

Diagnostic performance of different measurement methods for lung nodule enhancement at quantitative contrast-enhanced computed tomography

Dag Wormanns, Ernst Klotz, Uwe Dregger, Florian Beyer, Walter Heindel

Proceedings Volume 5372, (2004) https://doi.org/10.1117/12.535209

KEYWORDS: 3D metrology, Computed tomography, Diagnostics, Lung, Lung cancer, 3D imaging standards, Radiology, Biopsy, Positron emission tomography, Lawrencium

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Showing 5 of 8 publications

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