David S Paik
Affiliation: Stanford University
- Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CTDavid S Paik
Department of Radiology, Stanford University, Stanford, CA 94305 5450, USA
IEEE Trans Med Imaging 23:661-75. 2004..It is able to achieve 100% sensitivity for colonic polyps 10 mm and larger at 7.0 false positives (FPs)/dataset and 90% sensitivity for solid lung nodules 6 mm and larger at 5.6 FP/dataset...
- CT colonography: influence of 3D viewing and polyp candidate features on interpretation with computer-aided detectionRong Shi
Department of Radiology, Stanford University Medical Center, James H Clark Center, 318 Campus Dr, Room S324, Stanford, CA 94305 5450, and Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
Radiology 239:768-76. 2006....
- Adaptive border marching algorithm: automatic lung segmentation on chest CT imagesJiantao Pu
Department of Radiology, Stanford University, United States
Comput Med Imaging Graph 32:452-62. 2008..The clinical impact of this method is in potentially avoiding false negative CAD findings due to juxtapleural nodules and improving volumetry and doubling time accuracy...
- Optimization of a tomosynthesis system for the detection of lung nodulesAngel R Pineda
Department of Radiology, Stanford University, Stanford, California 94305, USA
Med Phys 33:1372-9. 2006..The validation of these mathematical observers extends their applicability to the optimization of tomosynthesis systems...
- Edge displacement field-based classification for improved detection of polyps in CT colonographyBurak Acar
Department of Radiology, Lucas MRS Center, 3D Laboratory, Stanford University, Stanford, CA 94305, USA
IEEE Trans Med Imaging 21:1461-7. 2002..The mean specificity over all experiments increased from 0.19 (0.35) to 0.47 (0.56) for a sensitivity of 1.00 (0.95)...
- Computed tomography colonography: feasibility of computer-aided polyp detection in a "first reader" paradigmAravind Mani
Department of Radiology, Stanford University Medical Center, and Stanford Medical School, CA 94305, USA
J Comput Assist Tomogr 28:318-26. 2004..To determine the feasibility of a computer-aided detection (CAD) algorithm as the "first reader" in computed tomography colonography (CTC)...
- Registration of central paths and colonic polyps between supine and prone scans in computed tomography colonography: pilot studyPing Li
Department of Statistics, Stanford University, Stanford, California 94305, USA
Med Phys 31:2912-23. 2004..With polyp registration, the average number of comparisons was 1.78 per polyp, as opposed to 4.28 comparisons without polyp registration...
- Quantification of distention in CT colonography: development and validation of three computer algorithmsPeter W Hung
Department of Radiology, Stanford University Medical Center, MC 5105, 300 Pasteur Dr, Stanford, CA 94305, USA
Radiology 222:543-54. 2002..Clinical feasibility was demonstrated. Depending on the desired spatial resolution and accuracy, each algorithm can quantitatively depict colonic diameter in CT colonography...
- CT colonography: does improved z resolution help computer-aided polyp detection?Padmavathi Sundaram
Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA
Med Phys 30:2663-74. 2003..For detection of polyps 10 mm and larger, reconstruction of 5 mm sections may be sufficient. Further study is required to generalize these results to a broader population of patients scanned on different scanners...
- Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detectionGeoffrey D Rubin
Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, S 072, Stanford, CA 94305 5105, USA
Radiology 234:274-83. 2005..To compare the performance of radiologists and of a computer-aided detection (CAD) algorithm for pulmonary nodule detection on thin-section thoracic computed tomographic (CT) scans...
- Carotid disease: automated analysis with cardiac-gated three-dimensional US technique and preliminary resultsSandy Napel
Department of Radiology, Stanford University School of Medicine, Lucas Magnetic Resonance Imaging and Spectroscopy MRS Center P 287, Stanford, CA 94305 5488, USA
Radiology 222:560-3. 2002..Data for all healthy volunteers (n = 8) and patients with complete occlusions (n = 3) were correctly classified. Data for two of the 12 patients with mild to severe (but not occlusive) disease were misclassified by one category...
- Polyp enhancing level set evolution of colon wall: method and pilot studyEnder Konukoglu
Department of Electrical and Electronics Engineering, Bogazici University, 34342 Istanbul, Turkey
IEEE Trans Med Imaging 26:1649-56. 2007..0 to 9.0 mm in diameter. This is accompanied by a statistically significant separation between small polyps and false positives. PELS did not change the CTC CAD performance significantly for larger polyps...