COMPUTER AIDED DETECTION & QUANTIFICATIONand Results with Respect to Pulmonary Nodules in High Resolution CT Data

With the superb spatial resolution of modern multi-slice CT scanners and their ability to complete a high resolution thoracic scan within one breath hold, software algorithms for computer aided detection (CAD) of pulmonary nodules are now reaching high sensitivity levels at moderate false positive rates. Pilot studies indicate that CAD software modules can serve as a powerful tool for diagnostic quality assurance. Equally important are tools for fast and accurate automatic three-dimensional volume measurement of detected nodules. Computer aided diagnosis (CADx) tools such as automated three-dimensional quantification of contrast enhancement in dynamic CT help to exclude benign nodules and reduce biopsies.

[1]  F. M. Vos,et al.  Three-dimensional display modes for CT colonography: conventional 3D virtual colonoscopy versus unfolded cube projection. , 2003, Radiology.

[2]  Dag Wormanns,et al.  Characterization of small pulmonary nodules by CT , 2004, European Radiology.

[3]  Cristian Lorenz,et al.  Automated assessment of bronchial lumen, wall thickness and bronchoarterial diameter ratio of the tracheobronchial tree using high-resolution CT , 2004, CARS.

[4]  K. Doi,et al.  Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. , 2004, AJR. American journal of roentgenology.

[5]  Rafael Wiemker,et al.  Computer-aided lung nodule detection on high-resolution CT data , 2002, SPIE Medical Imaging.

[6]  E. Hoffman,et al.  Lung image database consortium: developing a resource for the medical imaging research community. , 2004, Radiology.

[7]  Cristian Lorenz,et al.  A method for lung nodule visualization from multi-slice CT data , 2005 .

[8]  Rafael Wiemker,et al.  Computer aided segmentation of pulmonary nodules: automated vasculature cutoff in thin- and thickslice CT , 2003, CARS.

[9]  Dominik Fleischmann High-resolution ct of the lung (second edition) , 1997 .

[10]  R. Truyen,et al.  Aspects of computer-aided detection (CAD) and volumetry of pulmonary nodules using multislice CT. , 2005, The British journal of radiology.

[11]  F. Fischbach,et al.  Detection of pulmonary nodules by multislice computed tomography: improved detection rate with reduced slice thickness , 2003, European Radiology.

[12]  O. Miettinen,et al.  Early Lung Cancer Action Project: overall design and findings from baseline screening , 1999, The Lancet.

[13]  Douglas C McCrory,et al.  Screening for lung cancer: a review of the current literature. , 2003, Chest.

[14]  Rafael Wiemker,et al.  Comparison of different follow-up lung registration methods with and without segmentation , 2004, SPIE Medical Imaging.

[15]  Jane P. Ko,et al.  Interobserver variations on interpretation of multislice CT lung cancer screening studies, and the implications for computer-aided diagnosis , 2002, SPIE Medical Imaging.

[16]  D K Owens,et al.  Accuracy of positron emission tomography for diagnosis of pulmonary nodules and mass lesions: a meta-analysis. , 2001, JAMA.

[17]  W. Heindel,et al.  Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers. , 2002, Radiology.

[18]  W. Heindel,et al.  Lung cancer screening with low-dose CT. , 2003, European journal of radiology.

[19]  M. Giger,et al.  Computerized Detection of Pulmonary Nodules in Computed Tomography Images , 1994, Investigative radiology.

[20]  M. Prokop,et al.  Spiral and multislice computed tomography of the body , 2003 .

[21]  John F. Hamilton,et al.  A Free Response Approach To The Measurement And Characterization Of Radiographic Observer Performance , 1977, Other Conferences.

[22]  Rafael Wiemker,et al.  Improved sensitivity of dynamic CT with a new visualization method for radial distribution of lung nodule enhancement , 2005, SPIE Medical Imaging.

[23]  Francoise J. Preteux A Non-Stationary Markovian Modeling for the Lung Nodule Detection in CT , 1991 .