Samuel Armato

Summary

Affiliation: University of Chicago
Country: USA

Publications

  1. ncbi request reprint Automated matching of temporally sequential CT sections
    William F Sensakovic
    Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 31:3417-24. 2004
  2. ncbi request reprint Imaging in pleural mesothelioma: a review of the 11th International Conference of the International Mesothelioma Interest Group
    Samuel G Armato
    Department of Radiology, The University of Chicago, Chicago, IL, USA Electronic address
    Lung Cancer 82:190-6. 2013
  3. doi request reprint Research imaging in an academic medical center
    Samuel G Armato
    Department of Radiology, MC 2026, The University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    Acad Radiol 19:762-71. 2012
  4. ncbi request reprint Anniversary paper: image processing and manipulation through the pages of Medical Physics
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 35:4488-500. 2008
  5. ncbi request reprint The radiologic measurement of mesothelioma
    Samuel G Armato
    Department of Radiology, University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, IL 60637, USA
    Hematol Oncol Clin North Am 19:1053-66, vi. 2005
  6. ncbi request reprint Variability in mesothelioma tumor response classification
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    AJR Am J Roentgenol 186:1000-6. 2006
  7. ncbi request reprint Temporal subtraction in chest radiography: automated assessment of registration accuracy
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 33:1239-49. 2006
  8. ncbi request reprint Temporal subtraction of dual-energy chest radiographs
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 33:1911-9. 2006
  9. ncbi request reprint Temporal subtraction in chest radiography: mutual information as a measure of image quality
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 36:5675-82. 2009
  10. pmc The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans
    Samuel G Armato
    The University of Chicago, Department of Radiology, MC 2026, The University of Chicago, 5841 S Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 14:1409-21. 2007

Research Grants

  1. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2000
  2. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2007
  3. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2007
  4. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2006
  5. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2007
  6. Standard Database for CT Lung Images
    Samuel Armato; Fiscal Year: 2006
  7. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2006
  8. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2004
  9. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2003
  10. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2002

Detail Information

Publications45

  1. ncbi request reprint Automated matching of temporally sequential CT sections
    William F Sensakovic
    Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 31:3417-24. 2004
    ..8%). An 11% improvement was achieved when thoracic segmentation was performed as a pre-processing step...
  2. ncbi request reprint Imaging in pleural mesothelioma: a review of the 11th International Conference of the International Mesothelioma Interest Group
    Samuel G Armato
    Department of Radiology, The University of Chicago, Chicago, IL, USA Electronic address
    Lung Cancer 82:190-6. 2013
    ....
  3. doi request reprint Research imaging in an academic medical center
    Samuel G Armato
    Department of Radiology, MC 2026, The University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    Acad Radiol 19:762-71. 2012
    ....
  4. ncbi request reprint Anniversary paper: image processing and manipulation through the pages of Medical Physics
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 35:4488-500. 2008
    ....
  5. ncbi request reprint The radiologic measurement of mesothelioma
    Samuel G Armato
    Department of Radiology, University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, IL 60637, USA
    Hematol Oncol Clin North Am 19:1053-66, vi. 2005
    ..The challenges of measuring mesothelioma are many. In this article, the authors explore the demands, the current standard of clinical practice, and the opportunities associated with the radiologic measurement of mesothelioma...
  6. ncbi request reprint Variability in mesothelioma tumor response classification
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    AJR Am J Roentgenol 186:1000-6. 2006
    ..In addition, the performance of a semiautomated measurement method was evaluated...
  7. ncbi request reprint Temporal subtraction in chest radiography: automated assessment of registration accuracy
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 33:1239-49. 2006
    ..82 based on a feature subset selected from an independent database of digitized film images. These methods are expected to advance the clinical utility of temporal subtraction images for chest radiography...
  8. ncbi request reprint Temporal subtraction of dual-energy chest radiographs
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 33:1911-9. 2006
    ..By combining dual-energy soft-tissue images with temporal subtraction, misregistration artifacts can be reduced and superior image quality can be obtained...
  9. ncbi request reprint Temporal subtraction in chest radiography: mutual information as a measure of image quality
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 36:5675-82. 2009
    ....
  10. pmc The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans
    Samuel G Armato
    The University of Chicago, Department of Radiology, MC 2026, The University of Chicago, 5841 S Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 14:1409-21. 2007
    ....
  11. pmc The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"
    Samuel G Armato
    Department of Radiology, The University of Chicago, MC 2026, The University of Chicago, 5841 S Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 14:1455-63. 2007
    ....
  12. ncbi request reprint Current state and future directions of pleural mesothelioma imaging
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637, USA
    Lung Cancer 59:411-20. 2008
    ..From diagnosis to response, PET/CT to molecular bioprobes, volumetric analysis to computerized tumor assessment, imaging promises to provide valuable insight for patients with mesothelioma and the physicians who treat them...
  13. pmc Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth"
    Samuel G Armato
    Department of Radiology, University of Chicago, Chicago, IL 60637, USA
    Acad Radiol 16:28-38. 2009
    ....
  14. doi request reprint The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software
    S G Armato
    Department of Radiology, University of Chicago, Chicago, Illinois, USA
    Clin Pharmacol Ther 84:448-56. 2008
    ..The RIDER project will create standardized methods for benchmarking software tools to reduce sources of uncertainty in vital clinical assessments such as whether a specific tumor is responding to therapy...
  15. ncbi request reprint Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 12:1301-9. 2005
    ..To evaluate the clinical acceptability of semiautomated methods for the measurement of mesothelioma tumor thickness in computed tomography (CT) scans...
  16. ncbi request reprint Computerized analysis of mesothelioma on CT scans
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, IL 60637, USA
    Lung Cancer 49:S41-4. 2005
    ....
  17. ncbi request reprint Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program
    Samuel G Armato
    Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637, USA
    Radiology 225:685-92. 2002
    ..To evaluate the performance of a fully automated computerized method for the detection of lung nodules in computed tomographic (CT) scans in the identification of lung cancers that may be missed during visual interpretation...
  18. ncbi request reprint Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 30:461-72. 2003
    ..When applied to the databases in this manner, the automated method demonstrated overall a similar level of performance, indicating an encouraging degree of robustness...
  19. ncbi request reprint Automated lung nodule classification following automated nodule detection on CT: a serial approach
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 30:1188-97. 2003
    ..The area under the ROC curve for this classification task attained a value of 0.79 during a leave-one-out evaluation...
  20. pmc The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans
    Samuel G Armato
    Department of Radiology, The University of Chicago, USA
    Med Phys 38:915-31. 2011
    ....
  21. ncbi request reprint Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 31:1105-15. 2004
    ..93). We have developed computerized techniques for the measurement of mesothelioma tumor thickness in CT scans. These techniques achieved varying levels of agreement with measurements made by human observers...
  22. ncbi request reprint Lung image database consortium: developing a resource for the medical imaging research community
    Samuel G Armato
    Department of Radiology, MC 2026, University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    Radiology 232:739-48. 2004
    ..This article is intended to share with the community the breadth and depth of these key issues...
  23. ncbi request reprint Automated lung segmentation for thoracic CT impact on computer-aided diagnosis
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 11:1011-21. 2004
    ..A core segmentation method may be developed for general application; however, modifications may be required for specific clinical tasks...
  24. ncbi request reprint Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1)
    Samuel G Armato
    Department of Radiology, MC 2026, University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637, USA
    Acad Radiol 12:337-46. 2005
    ..Because nodules demonstrate a spectrum of radiologic appearances, the performance of the automated method was evaluated on the basis of nodule malignancy status, size, subtlety, and radiographic opacity...
  25. ncbi request reprint Vessel tree reconstruction in thoracic CT scans with application to nodule detection
    Gady Agam
    Department of Computer Science, Illinois Institute of Technology, 10 West 31st Street, Chicago, IL 60616, USA
    IEEE Trans Med Imaging 24:486-99. 2005
    ..Moreover, the proposed vessel tree reconstruction algorithm reduced the number of false positives generated by an existing nodule detection algorithm by 38%...
  26. pmc Evaluation of lung MDCT nodule annotation across radiologists and methods
    Charles R Meyer
    Department of Radiology, School of Medicine, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109 2200, USA
    Acad Radiol 13:1254-65. 2006
    ..Thus assessing the source of variability in defining the spatial location of lung nodules by expert radiologists using different software tools as an alternative form of truth is necessary...
  27. pmc The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation
    Michael F McNitt-Gray
    Department of Radiology, David Geffen School of Medicine at UCLA, Suite 650, 924 Westwood Blvd, Los Angeles, CA 90095 1721, USA
    Acad Radiol 14:1464-74. 2007
    ..This data collection process was also intended to capture the variability among readers...
  28. ncbi request reprint Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index
    Arunabha S Roy
    Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 33:1133-40. 2006
    ..8% reduction in the false-positive rate at a fixed sensitivity of 70%. These results demonstrate the potential role of RGI analysis in an automated lung nodule detection method...
  29. ncbi request reprint Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sections
    William F Sensakovic
    Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 33:3085-93. 2006
    ..The AOM between each observer and the automated method was 0.82 when averaged over all lungs. The average AOM in the lung bases, where lung segmentation is most difficult, was 0.73...
  30. doi request reprint Dual energy subtraction and temporal subtraction chest radiography
    Heber Macmahon
    Department of Radiology, University of Chicago, Chicago, IL 60637, USA
    J Thorac Imaging 23:77-85. 2008
    ..Temporal subtraction can be combined with energy subtraction to reduce misregistration artifacts, and also has potential to improve computer-aided detection of nodules and other types of lung disease...
  31. pmc Computerized segmentation and measurement of malignant pleural mesothelioma
    William F Sensakovic
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 38:238-44. 2011
    ..This manuscript presents a computerized method for the three-dimensional segmentation and volumetric analysis of MPM...
  32. pmc The influence of initial outlines on manual segmentation
    William F Sensakovic
    Department of Radiology, The University of Chicago, 5841 S Maryland Ave, Chicago, Illinois 60637, USA
    Med Phys 37:2153-8. 2010
    ..This study evaluated the influence of initial outlines on manual segmentation intraobserver and interobserver precision...
  33. doi request reprint Temporal subtraction chest radiography
    Heber Macmahon
    Department of Radiology, The University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    Eur J Radiol 72:238-43. 2009
    ..By cancelling out the complex anatomical background, temporal subtraction can provide dramatically enhanced visibility of new areas of disease...
  34. pmc A modified gradient correlation filter for image segmentation: application to airway and bowel
    William F Sensakovic
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 36:480-5. 2009
    ..The results were evaluated using receiver-operating characteristic analysis and demonstrated excellent results for both the airway/lung and bowel/lung classification tasks...
  35. pmc Discrete-space versus continuous-space lesion boundary and area definitions
    William F Sensakovic
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 35:4070-8. 2008
    ..These results support the idea that inconsistent application of region boundary definition and area calculation may substantially impact measurement accuracy...
  36. ncbi request reprint Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography
    Kenji Suzuki
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 35:694-703. 2008
    ..By use of the mixture of expert 3D MTANNs, the specificity of a CAD scheme for detection of polyps in CTC was substantially improved while a high sensitivity was maintained...
  37. ncbi request reprint Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography
    Kenji Suzuki
    Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 30:1602-17. 2003
    ..3% (57 of 58 nodules). By using the Multi-MTANN, the false-positive rate of our current scheme was improved from 0.98 to 0.18 false positives per section (from 27.4 to 4.8 per patient) at an overall sensitivity of 80.3% (57/71)...
  38. ncbi request reprint Two-dimensional extrapolation methods for texture analysis on CT scans
    William F Sensakovic
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois 60637, USA
    Med Phys 34:3465-72. 2007
    ..CLEAN deconvolution improved the greatest number of descriptors, demonstrated the best overall accuracy, and created ROIs that were visually most similar to the original ROIs...
  39. ncbi request reprint Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings
    Feng Li
    Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, MC 2026, University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    Radiology 225:673-83. 2002
    ..To compare clinical, histopathologic, and imaging features of lung cancers missed at low-radiation-dose helical computed tomography (CT)...
  40. pmc Quantitative measurement of lung reexpansion in malignant pleural mesothelioma patients undergoing pleurectomy/decortication
    William F Sensakovic
    Department of Radiology, The University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637, USA
    Acad Radiol 18:294-8. 2011
    ....
  41. ncbi request reprint Image annotation for conveying automated lung nodule detection results to radiologists
    Samuel G Armato
    Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, Illinois, USA
    Acad Radiol 10:1000-7. 2003
    ..The author investigated the ability of automated techniques to convey the results of an automated lung nodule detection method for human visualization...
  42. doi request reprint Lymphatic vessel density is not associated with lymph node metastasis in non-small cell lung carcinoma
    Leonardo Faoro
    Department of Medicine, Section of Hematology Oncology, University of Chicago, Chicago, IL, USA
    Arch Pathol Lab Med 132:1882-8. 2008
    ..Lymphatic metastasis is also an important means of tumor spread. In non-small cell lung carcinoma, the relationship of lymphangiogenesis with lymph node metastasis and, ultimately, patient prognosis is unknown...
  43. ncbi request reprint Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium
    Lori E Dodd
    Biometrics Research Branch, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 6130 Executive Blvd, MSC 7434, Bethesda, MD 20892, USA
    Acad Radiol 11:462-75. 2004
    ..We review methods for performance assessment and discuss issues of defining "truth" as well as the complications that arise when truth information is not available. We also discuss issues about sizing and populating a database...
  44. pmc The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements
    Anthony P Reeves
    School of Electrical and Computer Engineering, Rhodes Hall, Cornell University, Ithaca, NY 14853, USA
    Acad Radiol 14:1475-85. 2007
    ....
  45. ncbi request reprint Modeling of mesothelioma growth demonstrates weaknesses of current response criteria
    Geoffrey R Oxnard
    Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, 02114, USA
    Lung Cancer 52:141-8. 2006
    ..Application of the RECIST response criteria to mesothelioma thickness measurements yields PR and PD classifications based on smaller volume changes than for spherical tumors...

Research Grants13

  1. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2000
    ....
  2. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2007
    ..abstract_text> ..
  3. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2007
    ..abstract_text> ..
  4. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2006
    ..abstract_text> ..
  5. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2007
    ....
  6. Standard Database for CT Lung Images
    Samuel Armato; Fiscal Year: 2006
    ..The ideas resented in this proposal are expected to stimulate the efforts of the Consortium toward that goal. ..
  7. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2006
    ....
  8. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2004
    ....
  9. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2003
    ....
  10. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2002
    ....
  11. COMPUTER AIDED DIAGNOSIS IN CT OF THE THORAX
    Samuel Armato; Fiscal Year: 2001
    ....
  12. Computerized Analysis of Mesothelioma on CT Scans
    Samuel Armato; Fiscal Year: 2009
    ....