People

Samuel G. Armato, PhD

  • Associate Professor of Radiology
    Committee Chair of Committee on Medical Physics
    Committee on Medical Physics
  • Research and Scholarly Interests: chest radiography, computed tomography (CT), computer vision, computer-aided diagnosis, imaging physics, lung cancer, lung imaging, medical image analysis, medical physics, mesothelioma
  • Websites: Research Network Profile
  • Contact: sarmato@uchicago.edu
  • Graduate Program: Medical Physics

I have established my career through the development and evaluation of computerized techniques for the quantitative analysis of medical images and the assessment of tumor response to therapy. More specifically, my research has involved the computerized detection and evaluation of lung nodules in thoracic computed tomography (CT) scans, the assessment of image quality and pathologic change in temporally subtracted chest radiographic images, the computerized evaluation of mesothelioma tumor and response to therapy in CT scans, critical analyses of image-based tumor response assessment for mesothelioma, the development of objective CT-based metrics for the quantification of mucosal inflammation due to sinusitis, the application of radiomics to the pre- and post-treatment CT scans of radiation therapy patients to predict normal lung tissue complications, and the evaluation of reference standards for computer-aided diagnosis (CAD) research. As the local principal investigator for the Lung Image Database Consortium project that spanned 10 years and as the faculty director of the University of Chicago’s Human Imaging Research Office, I have extensive experience with interdisciplinary and multi-institutional image-based projects.

The University of Chicago
Chicago, IL
Ph.D. - Medical Physics
1997

The University of Chicago
Chicago, IL
B.A. - Physics
1987

Interviewing for residency positions while completing a graduate degree: Considerations for graduate students, mentors, and program directors.
Newhauser W, Pitcher G, Swanson C, Armato SG, Al-Hallaq H. Interviewing for residency positions while completing a graduate degree: Considerations for graduate students, mentors, and program directors. J Appl Clin Med Phys. 2022 08; 23(8):e13700.
PMID: 35699204

The role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review.
Carlson B, Harmath C, Turaga K, Kindler HL, Armato SG, Straus C. The role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review. Abdom Radiol (NY). 2022 05; 47(5):1725-1740.
PMID: 35257201

Imaging in pleural mesothelioma: A review of the 15th International Conference of the International Mesothelioma Interest Group.
Armato SG, Nowak AK, Francis RJ, Katz SI, Kholmatov M, Blyth KG, Gudmundsson E, Kidd AC, Gill RR. Imaging in pleural mesothelioma: A review of the 15th International Conference of the International Mesothelioma Interest Group. Lung Cancer. 2022 02; 164:76-83.
PMID: 35042132

Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs.
Li F, Armato SG, Engelmann R, Rhines T, Crosby J, Lan L, Giger ML, MacMahon H. Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J Digit Imaging. 2021 08; 34(4):922-931.
PMID: 34327625

Radiomics-based assessment of idiopathic pulmonary fibrosis is associated with genetic mutations and patient survival.
Budzikowski JD, Foy JJ, Rashid AA, Chung JH, Noth I, Armato SG. Radiomics-based assessment of idiopathic pulmonary fibrosis is associated with genetic mutations and patient survival. J Med Imaging (Bellingham). 2021 May; 8(3):031903.
PMID: 33889657

QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications.
Avila RS, Fain SB, Hatt C, Armato SG, Mulshine JL, Gierada D, Silva M, Lynch DA, Hoffman EA, Ranallo FN, Mayo JR, Yankelevitz D, Estepar RSJ, Subramaniam R, Henschke CI, Guimaraes A, Sullivan DC. QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications. Clin Imaging. 2021 Sep; 77:151-157.
PMID: 33684789

Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features.
Foy JJ, Shenouda M, Ramahi S, Armato S, Ginat DT. Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features. J Med Imaging (Bellingham). 2020 Nov; 7(6):064007.
PMID: 33409336

Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography.
Armato SG. Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography. Radiology. 2020 12; 297(3):697-698.
PMID: 32965172

Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration.
Deshpande P, Rasin A, Son J, Kim S, Brown E, Furst J, Raicu DS, Montner SM, Armato SG. Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. J Digit Imaging. 2020 06; 33(3):797-813.
PMID: 32253657

Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way.
Armato SG, Farahani K, Zaidi H. Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way. Med Phys. 2020 Jun; 47(6):2325-2328.
PMID: 32040865

View All Publications

Fellow
Society of Photo-Optical Instrumentation Engineers (SPIE)
2018

Distinguished Investigator
Academy of Radiology Research
2016

Fellow
American Association of Physicists in Medicine
2014

Kurt Rossmann Award for Excellence in Medical Physics Teaching
The University of Chicago
2012

Raine Visiting Professor
University of Western Australia
2009

Kurt Rossmann Award for Excellence in Medical Physics Teaching
The University of Chicago
2002