Research Topics
| R M SummersSummaryAffiliation: National Institutes of Health Country: USA Publications
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Detail Information
Publications
Evaluation of the aortic root by MRI: insights from patients with homozygous familial hypercholesterolemiaR M Summers
Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bethesda, MD, USA
Circulation 98:509-18. 1998..However, the aortic wall and plaque have not yet been assessed in this condition by MRI. We evaluated the aortic root by use of MRI in 17 HFH patients and 12 normal control subjects in a prospective, blinded, controlled study...- CT colonography with computer-aided detection: automated recognition of ileocecal valve to reduce number of false-positive detectionsRonald M Summers
Department of Diagnostic Radiology, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bldg 10, Rm 1C660, 10 Center Dr, MSC 1182, Bethesda, MD 20892 1182, USA
Radiology 233:266-72. 2004..This result is clinically important because, by reducing the frequency of a common cause of false-positive detections, this algorithm may improve the efficiency of physicians who use CAD... - Computer-aided detection of polyps on oral contrast-enhanced CT colonographyRonald M Summers
Radiology Department, National Institutes of Health, 10 Center Dr, Bldg. 10, Rm. 1C660, MSC 1182, Bethesda, MD 20892-1182, USA
AJR Am J Roentgenol 184:105-8. 2005 
Automated measurement of colorectal polyp height at CT colonography: hyperplastic polyps are flatter than adenomatous polypsRonald M Summers
Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892 1182, USA
AJR Am J Roentgenol 193:1305-10. 2009..Using automated software that computes polyp height, we determined whether hyperplastic colonic polyps on CTC are indeed flatter than adenomatous polyps of comparable width...- Science to practice: Detection of active colonic hemorrhage with use of helical CT: findings in a swine modelRonald M Summers
Department of Diagnostic Radiology, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm 1C660, Bethesda, MD 20892-1182, USA
Radiology 228:599-600. 2003 - Improving the accuracy of CTC interpretation: computer-aided detectionRonald M Summers
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Building 10, Room 1C368X MSC 1182, Bethesda, MD 20892 1182, USA
Gastrointest Endosc Clin N Am 20:245-57. 2010..In its currently proposed use as an adjunct to standard image interpretation, computer-aided polyp detection serves as a spellchecker rather than an efficiency enhancer... - Polyp size measurement at CT colonography: what do we know and what do we need to know?Ronald M Summers
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bldg 10, Room 1C368X, MSC 1182, Bethesda, MD 20892 1182, USA
Radiology 255:707-20. 2010..This review summarizes current best practices for polyp size measurement, describes the role of automated size measurement software, discusses how to manage the measurement uncertainties, and identifies areas requiring further research... - Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening populationRonald M Summers
Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bethesda, Maryland 20892 1182, USA
Gastroenterology 129:1832-44. 2005..Our objective was to determine whether a computer program is as sensitive as optical colonoscopy for the detection of adenomatous colonic polyps on CT virtual colonoscopy... - CT colonography computer-aided polyp detection: Effect on radiologist observers of polyp identification by CAD on both the supine and prone scansRonald M Summers
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892 1182, USA
Acad Radiol 17:948-59. 2010.... - Colonic polyps: complementary role of computer-aided detection in CT colonographyRonald M Summers
Department of Diagnostic Radiology, Warren Grant Magnuson Clinical Center, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Rm 1C660, Bethesda, MD 20892 1182, USA
Radiology 225:391-9. 2002.... - Normalized distance along the colon centerline: a method for correlating polyp location on CT colonography and optical colonoscopyRonald M Summers
Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD 20892 1182, USA
AJR Am J Roentgenol 193:1296-304. 2009..The purpose of this study was to determine whether a polyp's normalized distance along the colon centerline derived from CTC data can accurately predict its location on OC... - Automated polyp detector for CT colonography: feasibility studyR M Summers
Department of Diagnostic Radiology, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bldg 10, Rm 1C660, 10 Center Dr MSC 1182, Bethesda, MD 20892 1182, USA
Radiology 216:284-90. 2000..There were no false-positive detections. Shape analysis is technically feasible and is a promising approach to automated polyp detection... 
Performance of a previously validated CT colonography computer-aided detection system in a new patient populationRonald M Summers
Diagnostic Radiology Department, National Institutes of Health Clinical Center, Bldg 10, Rm 1C368X MSC 1182, Bethesda, MD 20892 1182, USA
AJR Am J Roentgenol 191:168-74. 2008....- Conspicuity of colorectal polyps at CT colonography: visual assessment, CAD performance, and the important role of polyp heightRonald M Summers
Diagnostic Radiology Department, National Institutes of Health Clinical Center, Bethesda, MD 20892 1182, USA
Acad Radiol 16:4-14. 2009.... - MR virtual angioscopy of thoracic aortic atherosclerosis in homozygous familial hypercholesterolemiaR M Summers
Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bethesda, MD 20892 1182, USA
J Comput Assist Tomogr 25:371-7. 2001..Thoracic aortic atherosclerosis in patients with HFH was assessed with contrast-enhanced MR angiograms using exoscopic and endoscopic virtual angioscopy reconstructions and maximum intensity projections (MIPs)... - CT virtual bronchoscopy of the central airways in patients with Wegener's granulomatosisRonald M Summers
Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bethesda, MD 20892 1182, USA
Chest 121:242-50. 2002..To compare CT virtual bronchoscopy (VB) to CT alone and to conventional bronchoscopy for evaluation of central airway stenoses in patients with Wegener's granulomatosis... - Feasibility of simultaneous computed tomographic colonography and fully automated bone mineral densitometry in a single examinationRonald M Summers
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences Department, National Institutes of Health Clinical Center, Bethesda, MD 20892 1182, USA
J Comput Assist Tomogr 35:212-6. 2011..To show the feasibility of calculating the bone mineral density (BMD) from computed tomographic colonography (CTC) scans using fully automated software... - Assessment of polyp and mass histopathology by intravenous contrast-enhanced CT colonographyRonald M Summers
Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bldg 10, Room 1C351, 10 Center Dr MSC 1182, Bethesda, MD 20892 1182, USA
Acad Radiol 13:1490-5. 2006..We sought to demonstrate that intravenous contrast-enhanced CT colonography (CTC) can distinguish colonic adenomas from carcinomas... - Statistical location model for abdominal organ localizationJianhua Yao
Imaging Biomarkers and Computer Aided Diagnosis Lab, Clinical Center, The National Institutes of Health, Bethesda, MD 20892, USA
Med Image Comput Comput Assist Interv 12:9-17. 2009..The SLM enabled reduction in the overall localization error from 62.0 +/- 28.5 mm to 5.8 +/- 1.5 mm. Experiments showed that the SLM was robust to the reference model selection... - Registration of prone and supine CT colonography scans based on correlation optimized warping and canonical correlation analysisShijun Wang
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD 20892 1182, USA
Conf Proc IEEE Eng Med Biol Soc 2009:81-4. 2009..Experimental results show that by using our method, the estimation error of polyp location could be reduced 68.5% (from 41.6mm to 13.1mm on average) compared to a traditional dynamic warping algorithm... - Scale-based scatter correction for computer-aided polyp detection in CT colonographyJiamin Liu
Department of Radiology, National Institutes of Health, Bethesda, Maryland 20892 1182, USA
Med Phys 35:5664-71. 2008..The authors' results indicated that CAD with this correction method as a preprocessing step can yield a high sensitivity and a relatively low FP rate in CTC... - Computer-assisted detection of colonic polyps with CT colonography using neural networks and binary classification treesAnna K Jerebko
Department of Radiology, National Institutes of Health, 10 Center Drive, Bethesda, Maryland 20892-1182, USA
Med Phys 30:52-60. 2003..The backpropagation neural net with one hidden layer trained with Levenberg-Marquardt algorithm achieved the best results: sensitivity 90% and specificity 95% with 16 false positives per study... - Automated polyp detection at CT colonography: feasibility assessment in a human populationR M Summers
Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bldg 10, Rm 1C660, 10 Center Dr, MSC 1182, Bethesda, MD 20892-1182, USA
Radiology 219:51-9. 2001..Colonic distention is an important determinant of sensitivity. Further increases in sensitivity may be achieved by adding prone CT colonography... - Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable modelsJianhua Yao
Diagnostic Radiology Department, Clinical Center, The National Institutes of Health, 10 Center Drive, MSC 1182, Bethesda, MD 20892-1182 USA
IEEE Trans Med Imaging 23:1344-52. 2004..Our segmentation method was able to eliminate 30% of FP detections. The volumetric features computed from the segmentation can further reduce FP detections by 50% at 80% sensitivity... - Detection of colon wall outer boundary and segmentation of the colon wall based on level set methodsR Van Uitert
Diagnostic Radiol Dept, Nat Inst of Health, Bethesda, MD 20892, USA
Conf Proc IEEE Eng Med Biol Soc 1:3017-20. 2006..After determining this location, the algorithm segments the entire colon wall at subvoxel accurate precision. The algorithm has been validated on several CTC datasets... - Automated seed placement for colon segmentation in computed tomography colonographyGheorghe Iordanescu
Department of Radiology, National Institutes of Health, Building 10, Room 1C660, 10 Center Drive MSC 1182, Bethesda, MD 20892-1182, USA
Acad Radiol 12:182-90. 2005..CONCLUSION: Fully automatic seed placement for colonic segmentation is feasible in the majority of cases without seeding of undesired extracolonic air... - CT colonography with computer-aided polyp detection: volume and attenuation thresholds to reduce false-positive findings owing to the ileocecal valveRonald M Summers
Department of Radiology, National Institutes of Health, 10 Center Dr, Bldg 10, Rm 1C351, MSC 1182, Bethesda, MD 20892-1182, USA
Radiology 241:426-32. 2006..Differences in sensitivity and specificity in the detection of polyps between the sets were not significant. CONCLUSION: Volume and average CT attenuation thresholds can help differentiate most ICVs from true polyps... - Reduction of false positives on the rectal tube in computer-aided detection for CT colonographyGheorghe Lordanescu
Department of Radiology, National Institutes of Health Building 10, Bethesda, Maryland 20892-1182, USA
Med Phys 31:2855-62. 2004..CONCLUSIONS: The algorithm detects the RTs with good accuracy, is robust with respect to the two different types of RT used in our study, and is effective at reducing the number of RT FPs reported by our CAD system... - Automated centerline for computed tomography colonographyGheorghe Iordanescu
Department of Radiology, National Institutes of Health, Building 10, Room 1C660, 10 Center Dr, MSC 1182, Bethesda, MD 20892-1182, USA
Acad Radiol 10:1291-301. 2003..999; P < .001). CONCLUSION: This method produces an accurate colon centerline that may be useful for flight path planning, matching detections on the supine and prone views, and computing local colonic distension... - Quality assessment for CT colonography: validation of automated measurement of colonic distention and residual fluidKeshav K Deshpande
Diagnostic Radiology Department, Clinical Center, National Institutes of Health, Bldg 10, Room 1C368X, Bethesda, MD 20892 1182, USA
AJR Am J Roentgenol 189:1457-63. 2007.... - Optimizing computer-aided colonic polyp detection for CT colonography by evolving the Pareto frontaJiang Li
Radiology and Imaging Sciences, Clinical Center National Institutes of Health, Bethesda, Maryland 20892 1182, USA
Med Phys 36:201-12. 2009..2% to 90.58% with an increase of 8.38% (95% CI [0.75%, 16%], p = 0.03) for polyps 8 mm or larger at comparable false positive rates. The sensitivities of the optimized system are nearly equivalent to those of expert radiologists... - Teniae coli-based circumferential localization system for CT colonography: feasibility studyAdam Huang
Diagnostic Radiology Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892 1182, USA
Radiology 243:551-60. 2007..The teniae coli are extractable landmarks, and the teniae coli-based circumferential localization system helps guide virtual navigation and polyp registration at CT colonography... - Improved classifier for computer-aided polyp detection in CT colonography by nonlinear dimensionality reductionShijun Wang
Diagnostic Radiology Department, National Institutes of Health Clinical Center, Building 10, Bethesda, Maryland 20892 1182, USA
Med Phys 35:1377-86. 2008..001)... - Support vector machines committee classification method for computer-aided polyp detection in CT colonographyAnna K Jerebko
Diagnostic Radiology Department, National Institutes of Health, Bethesda, MD 20892, USA
Acad Radiol 12:479-86. 2005..A new classification scheme for the computer-aided detection of colonic polyps in computed tomographic colonography is proposed... - Gray-scale skeletonization of small vessels in magnetic resonance angiographyP J Yim
Clinical Center, NIH, Bethesda, MD 20892, USA
IEEE Trans Med Imaging 19:568-76. 2000..These methods apply best to smaller vessels where the image intensity peaks at the center of the lumen which, for the abdominal MRA, includes vessels whose diameter is less than 1 cm... - Wavelet method for CT colonography computer-aided polyp detectionJiang Li
Diagnostic Radiology Department, Clinical Center National Institutes of Health, Bethesda, Maryland 20892 1182, USA
Med Phys 35:3527-38. 2008..11%, 95% confidence interval [66.39%, 75.74%], p=0.1713). We conclude that this wavelet-based postprocessor can substantially reduce the false positive rate of our CTC CAD for this important polyp size range... - CT and image processing non-invasive indicators of sickle cell secondary pulmonary hypertensionMarius George Linguraru
Diagnostic Radiology Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892 USA
Conf Proc IEEE Eng Med Biol Soc 2008:859-62. 2008..71). CT with image processing shows great potential as a surrogate indicator of pulmonary hemodynamics or response to therapy, which could be an important tool for drug discovery and noninvasive clinical surveillance... - CAD of colon cancer on CT colonography cases without cathartic bowel preparationMarius George Linguraru
Diagnostic Radiology Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892 USA
Conf Proc IEEE Eng Med Biol Soc 2008:2996-9. 2008..The automatic detection of colon polyps using our CAD system on cathartic-free data improves considerably with the addition of the automatic stool removal module from 74% to 86% true positive (TP) rate at 6.4 false positives (FP)/case... - Multi-organ segmentation from multi-phase abdominal CT via 4D graphs using enhancement, shape and location optimizationMarius George Linguraru
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
Med Image Comput Comput Assist Interv 13:89-96. 2010..Comparative results demonstrate the effects of appearance and enhancement, and shape and location on organ segmentation... - Registration of prone and supine CT colonography scans using correlation optimized warping and canonical correlation analysisShijun Wang
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Maryland 20892 1182, USA
Med Phys 36:5595-603. 2009..To assist radiologists in CTC reading, in this paper we propose an automated method for colon registration from supine and prone CTC scans... - Reversible projection technique for colon unfoldingJianhua Yao
Clinical Image Processing Laboratory, National Institutes of Health, Bethesda, MD 20892, USA
IEEE Trans Biomed Eng 57:2861-9. 2010.... - Segmentation and quantification of pulmonary artery for noninvasive CT assessment of sickle cell secondary pulmonary hypertensionMarius George Linguraru
Radiology and Imaging Sciences, Clinical Center National Institutes of Health, Bethesda, Maryland 20892, USA
Med Phys 37:1522-32. 2010..The authors propose a semiautomated computer-assisted diagnostic (CAD) tool to quantify the main PA size from pulmonary CT angiography (CTA)... - Atlas-based automated segmentation of spleen and liver using adaptive enhancement estimationMarius George Linguraru
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
Med Image Comput Comput Assist Interv 12:1001-8. 2009..09 mm; DICE/Tanimoto overlaps = 95.2/91) and liver (RMS error = 2.3 mm, and DICE/Tanimoto overlaps = 96.2/92.7). The correlations (R2) with clinical/manual height measurements were 0.97 and 0.93 for the spleen and liver respectively... - Linear measurement of polyps in CT colonography using level sets on 3D surfacesSovira Tan
National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Clinical Center, 10 Center Drive MSC 1182, Bethesda, MD 20892, USA
Conf Proc IEEE Eng Med Biol Soc 2009:3617-20. 2009..A 3D manual measurement was used as the reference standard. A correlation of 0.825 was found between polyp measurements from our new method and the reference standard... - Computer-aided renal cancer quantification and classification from contrast-enhanced CT via histograms of curvature-related featuresMarius George Linguraru
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
Conf Proc IEEE Eng Med Biol Soc 2009:6679-82. 2009..Cancer types are further classified into four categories. Computer-assisted image analysis shows great potential for tumor diagnosis and monitoring... - Computer aided evaluation of ankylosing spondylitis using high-resolution CTSovira Tan
National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Clinical Center, Bethesda, MD 20892, USA
IEEE Trans Med Imaging 27:1252-67. 2008..The results of our algorithm were validated by comparison with a semi-quantitative evaluation made by a medical expert who visually inspected the CT scans. Correlation between the two evaluations was found to be 0.936 ( p < 10(-18)) ... - Virtual bronchoscopy for evaluation of airway diseaseSteven E Finkelstein
Thoracic Oncology Section, Surgery Branch, Center for Cancer Research, National Cancer Institute, Building 10, Room 2B-07, 10 Center Drive, National Institutes of Health, Bethesda, MD 20892-1502, USA
Thorac Surg Clin 14:79-86. 2004.... - Automatic correction of level set based subvoxel precise centerlines for virtual colonoscopy using the colon outer wallRobert L Van Uitert
National Institutes of Health, Bethesda, MD 20892, USA
IEEE Trans Med Imaging 26:1069-78. 2007..We have demonstrated successfully the effectiveness of our algorithm on 50 cases, 25 of which resulted in erroneous solutions by previous centerline algorithms due to variability in the colon distention... - Oral contrast adherence to polyps on CT colonographyRonald M Summers
Radiology Department, National Institutes of Health, Bethesda, MD and Uniformed Services University of the Health Sciences, Bethesda, MD 20892-1182, USA
J Comput Assist Tomogr 30:51-7. 2006..Polyps with villous histology show a higher rate of contrast adherence than nonvillous polyps... - Neopterin and quinolinic acid are surrogate measures of disease activity in the juvenile idiopathic inflammatory myopathiesLisa G Rider
Laboratory of Molecular and Developmental Immunology, Division of Monoclonal Antibodies, Center for Biologics Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA
Clin Chem 48:1681-8. 2002..We evaluated the utility of neopterin and quinolinic acid (QUIN) as surrogate measures of disease activity in juvenile idiopathic inflammatory myopathies (IIMs)... - Hybrid segmentation of colon filled with air and opacified fluid for CT colonographyMarek Franaszek
Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
IEEE Trans Med Imaging 25:358-68. 2006..In addition, visual inspection of 24 CT colonography scans demonstrated good performance of our procedure: the reconstructed colonic wall appeared smooth even at the interface between air and fluid and there were no leaked regions... - Comparative evaluation of super high-resolution CT scan and virtual bronchoscopy for the detection of tracheobronchial malignanciesSteven E Finkelstein
Thoracic Oncology Section, Surgery Branch, Center for Cancer Research, The National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
Chest 124:1834-40. 2003..Thus, these novel imaging techniques are valuable as complementary modalities to FB, providing information that is useful for the detection and management of airway malignancies... - Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimationMarius George Linguraru
Imaging Biomarkers and Computer Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center National Institutes of Health, 10 Center Drive Bethesda, Maryland 20892, USA
Med Phys 37:771-83. 2010..To investigate the potential of the normalized probabilistic atlases and computer-aided medical image analysis to automatically segment and quantify livers and spleens for extracting imaging biomarkers (volume and height)... - CT colonography with computer-aided detection as a second reader: observer performance studyNicholas Petrick
National Institute of Biomedical Imaging and Bioengineering Center for Devices and Radiological Health Joint Laboratory for the Assessment of Medical Imaging Systems, U S Food and Drug Administration, Rockville, MD, USA
Radiology 246:148-56. 2008.... - Novel thoracic imaging augments diagnosis of bronchial obstructionSteven E Finkelstein
National Institutes of Health, Bethesda, Maryland 20892, USA
Ann Thorac Surg 76:296. 2003 - Multiple neural network classification scheme for detection of colonic polyps in CT colonography data setsAnna K Jerebko
Department of Diagnostic Radiology, Warren Grant Magnuson Clinical Center, National Institutes of Health, Bldg 10, Rm 1C660, 10 Center Dr, MSC 1182, Bethesda, M D 20892-1182, USA
Acad Radiol 10:154-60. 2003..This approach reduces variance in estimates of misclassification rates... - Adaptive deformable model for colonic polyp segmentation and measurement on CT colonographyJianhua Yao
Diagnostic Radiology Department, Clinical Center National Institutes of Health, Bethesda, Maryland 20892, USA
Med Phys 34:1655-64. 2007..61 for the linear measurement and 0.98 for the volumetric measurement. The mean Dice coefficient for volume overlap between automatic and manual segmentation was 0.752 (standard deviation 0.154)... - Challenges for computer-aided diagnosis for CT colonographyR M Summers
Diagnostic Radiology Department, National Institutes of Health, Building 10, Room 1C660, 10 Center Drive, MSC 1182, Bethesda, MD 20892-1182, USA
Abdom Imaging 27:268-74. 2002..This article reviews the current state of research in this nascent field and explores major challenges and avenues for future work... - Current status of CT colonographySuzanne M Frentz
Diagnostic Radiology Department, Clinical Center, National Institutes of Health, Bldg. 10, Room 1C351, 10 Center Dr. MSC 1182, Bethesda, MD 20892-1182, USA
Acad Radiol 13:1517-31. 2006 - Virtual bronchoscopy for evaluation of malignant tumors of the thoraxSteven E Finkelstein
Thoracic Oncology Section, Surgery Branch, Center for Cancer Research, National Institutes of Health, Bethesda, MD 20892-1502, USA
J Thorac Cardiovasc Surg 123:967-72. 2002..Although fiberoptic bronchoscopy remains the standard modality for evaluating airway patency and mucosal lesions, virtual bronchoscopy may provide additional information that may be useful in the management of pulmonary malignant tumors... - Revisiting oral barium sulfate contrast agentsRonald M Summers
Diagnostic Radiology Department, National Institutes of Health, 10 Center Dr, Bldg 10, Rm 1C351, MSC 1182, Bethesda, MD 20892 1182, USA
Acad Radiol 14:72-80. 2007..Our review summarizes numerous aspects of oral barium sulfate contrast agents as well as tests to assess adherence and coating ability of the agents, offering arenas to explore and tools for evaluation... - Temporal and multiinstitutional quality assessment of CT colonographyRobert L Van Uitert
Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bldg 10, Rm 1C368X MSC 1182, Bethesda, MD 20892 1182, USA
AJR Am J Roentgenol 191:1503-8. 2008.... - Polyps: linear and volumetric measurement at CT colonographySrinath C Yeshwant
Diagnostic Radiology Department, Clinical Center, National Institutes of Health, Bldg 10, Room 1C351, 10 Center Dr, MSC 1182, Bethesda, MD 20892-1182, USA
Radiology 241:802-11. 2006..Linear diameter calculated from automated volume measurements showed the smallest variation between supine and prone scans while avoiding observer variability and may be best for assessing polyp size changes with serial examinations... - Lytic metastases in thoracolumbar spine: computer-aided detection at CT--preliminary studyJianhua Yao
Diagnostic Radiology Department, Clinical Center, National Institutes of Health, Bldg 10, Room 1C351, 10 Center Dr, MSC 1182, Bethesda, MD 20892 1182, USA
Radiology 242:811-6. 2007..To evaluate the sensitivity of a computer-aided detection (CAD) system for detection of lytic thoracolumbar spinal lesions at body CT, with results of manual lesion segmentation as the reference standard... - Comparative performance of two polyp detection systems on CT colonographyJ G Fletcher
Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
AJR Am J Roentgenol 189:277-82. 2007..The purpose of our study was to evaluate two current automatic polyp detection systems to determine their sensitivity and false-positive rate in patients who have undergone CT colonography and subsequent endoscopy... - Computer-aided detection of polyps in a colon phantom: effect of scan orientation, polyp size, collimation, and doseShuo-Hung Ling
Institute for Medical Imaging and Image Analysis, Department of Electrical and Computer Engineering, George Washington University, Washington, DC, USA
J Comput Assist Tomogr 26:1013-8. 2002..False-positive detections occurred in only 5 of 48 experiments. CONCLUSION: Clinically significant 10-mm polyps can be detected with 100% sensitivity in all orientations, doses, collimations, and modes that we examined... - Tracheal and central bronchial aerodynamics using virtual bronchoscopy and computational fluid dynamicsJuan R Cebral
School of Computational Sciences, George Mason University, Fairfax, VA 22030, USA
IEEE Trans Med Imaging 23:1021-33. 2004..Pressure and flow patterns in a human airway were computed noninvasively. These showed decreased pressure and increased shear stress in the region of a stenosis... - Computer-assisted detection of subcutaneous melanomas: feasibility assessmentJeffrey Solomon
Sensor Systems, Inc, Sterling, VA, USA
Acad Radiol 11:678-85. 2004..CONCLUSION: This study showed the feasibility of a fully automatic subcutaneous melanoma lesion detection system having good sensitivity. The false-positive rate was high, but avenues for further reduction were identified... - Road maps for advancement of radiologic computer-aided detection in the 21st centuryRonald M Summers
Radiology 229:11-3. 2003 - Validation and clinical significance of the Childhood Myositis Assessment Scale for assessment of muscle function in the juvenile idiopathic inflammatory myopathiesAdam M Huber
IWK Health Centre and Dalhousie University, 5850 University Avenue, Halifax, Nova Scotia B3J 3G9, Canada
Arthritis Rheum 50:1595-603. 2004.... - Biomedical Imaging Research Opportunities Workshop II: report and recommendationsC Leon Partain
Dept of Radiology, Vanderbilt Univ Medical Ctr, RR-1223, MCN, 1161 21st Ave South, Nashville, TN 37232-2675, USA
Radiology 236:389-403. 2005 - Virtual colonoscopyRonald M Summers
JAMA 292:432-3; author reply 433. 2004