• BA, Chemical Physics, Occidental College, Eagle Rock, California
• MD, Medicine, University of California at San Diego, School of Medicine

• Fellowship, Cardiopulmonary Radiology, University of California at San Diego, CA
• Residency, Radiology, University of California at San Diego, CA

Dr. John Newell Jr, MD the Associate Director for Translational Research in the APPIL, is a professor of Radiology and Biomedical Engineering, Director of the Radiology Image Phenotyping Laboratory and co-Director of the Iowa Institute for Biomedical Imaging. He has over 30 years of experience in clinical research and clinical practice in the Radiology sub-specialty of Cardio-Thoracic Radiology. Recently, he has been working on dual source dual energy MDCT techniques to measure pulmonary blood volume and ventilation using iodinated intravascular contrast media and inhaled xenon gas respectively. These techniques enable the investigation of pulmonary endothelial dysfunction and pulmonary ventilation abnormalities in patients with COPD and asthma. He and Dr. Eric Hoffman are using these methods to detect early emphysema in emphysema susceptible smokers and also identify those smokers who are not at risk for the development of emphysema. He is also working on using 99mTc-HMPAO labelled white cells with Dr. Michael Graham and Dr. Eric Hoffman to identify inflammation in the lung using a pig model of induced inflammation and also developing the same techniques to use in humans to detect inflammation in the lungs in smokers with corresponding endothelial dysfunction in the areas of smoking induced inflammation. He is also developing MR tumor imaging methods with Jessica Sieren, PhD in a genetically engineered pig model of lung cancer and developing proton MRI methods to image cystic fibrosis and time resolved MR angiographic methods to detect pulmonary perfusion abnormalities in COPD patients with lung induced left ventricular diastolic dysfunction with collaborators at Columbia University and Johns Hopkins University. He is evaluating and helping to deploy new thin client server based workstation software, Syngo.Via and Vital Images v6.3, to develop standardized quantitative image based biomarkers for clinical trials in medical oncology and in clinical cardiology and cardiovascular research.

• 2011 -PRES Ph.D. Thesis Committee, Sandeep Bodduluri (Biomedical Engineering)
• 6/12 - 7/12 Co-Advisor, UI Future in Biomedicine Program: Kayt Frisch, PhD. Faculty and Lee Veldkamp Undergraduate both from Dordt College:
• Using Quantitative CT Imaging to Increase our Understanding of Pulmonary Mechanics
• 6/12 - 7/12 Radiology Special Elective Advisor for M4 Brenda Hyde:
• Quantitative CT Assessment of Medical and Surgical Treatment for Emphysema, NETT Cohort

• 2013/08/15-2018/05/31
• U01 HL114494-01A1, NIH NHLBI
• Lin, Ching-Long(Pl)
• An Integrative Statistics-Guided Image-Based Multi-Scale Lung Model
• The ultimate goal of the research is to build a new computational framework for assessment and prediction of lung function through integration of statistical analysis of population data with prediction of function in individual subjects via a multi-scale computational fluid dynamics (CFD) lung model, for improved patient phenotyping and hence patient-specific therapy.
• Role: Co-Investigator

• 2013/01/20-2017/03/31
• RO1 HL114626-01A1, NIH NHLBI
• Lederer, David (PI)
• Obesity, Inflammation and Lung Injury After Lung Transplantation
• Quantitative CT assessment of whole body fat and muscle mass and distribution to investigate their effect on Lung Transplant Mortality.
• Role: CPI

• 2012/08/01-2016/12/31
• R01 HL112986-01A1, NIH NHLBI
• Hoffman, Eric (PI)
• Multi-center Structural & Functional Quantitative CT Pulmonary Phenotyping
• This proposed bioengineering research partnership seeks to take advantage of the emerging acquisition technique of multi-spectral computed tomography (currently dual energy CT: DECT), careful evaluation of dose lowering methods, and novel approaches to statistical cluster analysis to expand the biomarkers used in multi-center studies to identify sub-populations of lung disease.
• Role: Co-Investigator

• 2013/09/03-2016/09/03
• Newell N2013080087 Siemens Healthcare
• Newell, John (PI)
• MRI Imaging of Lung Ventilation and Perfusion
• Study lung perfusion and ventilation using advanced Siemens MRI software. (IPR Investigational Software: WIPs 549 Ventilation/Perfusion and WIP 580 (UTE) version VB17, to be installed on Trio a Tim system Serial #35267.)
• Role: Principal Investigator

• 2008/07/31-2015/07/30
• HR-08-07, NIH NHLBI
• Hoffman, Eric (PI)
• SPIROMICS-Radiology Center
• Department of Health and Human Services. The objective of the Radiology Center of SPIROMICS is to propose and oversee the acquisition of a state-of-the-art CT image data set needed for the provision of lung phenotypes associated with COPD to facilitate genotype correlation, and which can serve as the baseline for the assessment of outcomes in COPD interventions.
• Role: Co-Investigator

• 2015/04/15-2020/03/31
• 1R01HL126838, NIH NHLBI
• Hoffman, Eric (PI)
• Defining the Role of Early Pulmonary Vascular Disease in COPD
• This project evaluates the role of imaging-based measures of pulmonary vascular structure and function to identify smokers at risk of rapid emphysema progression and/or at risk of having frequent acute exacerbations of their COPD.
• Role: Co-Investigator

• 2015/03/29-2016/03/30
• Thorne, Peter (PI)
• EHSRC Pilot Grant = Correlation of Pulmonary Structural and Functional Alterations in a Population Exposed to Indoor Cooking with Solid Biofuels/Hutt Lung
• This project is focused on a pilot cohort of subjects in India for which a large amount of data will be collected, including demographic/health questionnaires, computed tomography, pulmonary function testing, in home air quality measures, and biological samples.
• Role: Co-Investigator

• 2015/02/17-2016/02-16
• 1S10OD018526, NIH NHLBI
• Hoffman, Eric (PI)
• Ultra-low Dose, High Speed, High Resolution, Multispectral, Multi-Source MDCT Scanner equipment grant
• Role: Major User

• Magnetic Resonance Imaging of Heart Disease
• Magnetic Resonance Imaging of Lung Disease
• Computed Tomography of Heart and Vascular Disease
• Computed Tomography of Diffuse Interstitial Lung Disease
• Computed Tomography of Emphysema and Airway Disease
• Computed Tomography of Lung Cancer
• RIS, PACS, VR technology
• DR Technology
• Extracting Quantitative Information from Medical Images Using Image Processing Techniques
• Biophysics and Physiology of Lung Structure and Function

• Institute for Clinical and Translational Science
• Iowa Comprehensive Lung Imaging Center (I-CLIC)
• Iowa Institute for Biomedical Imaging