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Lung Imaging at Iowa Research Symposium

images of lungs



Tentative Agenda
8 a.m. Coffee and light snacks
8:45 a.m. Introduction and welcome
9 a.m. Dr. Benjamin Smith, McGill University and Columbia University
10 a.m. Dr. Jacob Herrman, The University of Iowa
10:30 a.m.

Lightning talks from T32 trainees

Adam Galloy, Carley Stewart, Emmanuel Akor, Kevin Knoernschild

11 a.m. Dr. Jason Woods, Cincinnati Children's Hospital
Noon Lunch
1 p.m. Introduction to afternoon session
1:15 p.m.  Dr. Marrissa McIntosh, Western Ontario University
1:45 p.m.

Lightning talks from T32 trainees

Wahidul Alam, Riley Meyer, Zachary Althof, Erik Cole, Qi Wang

2:15 p.m. Poster session with coffee and snacks
3:15 p.m. Closing



Ben Smith
Dr. Benjamin Smith

Ben Smith is a pulmonary physician and scientist with appointments at Columbia University and McGill University in Montreal, Canada. His training includes pulmonary medicine, physiology and epidemiology. His research program applies quantitative lung imaging to understand why some people develop lung disease and other people do not. His recent work investigates the remarkable variation in native lung structure and its relationship to disease susceptibility across the lifespan.



Jacob Herrman
Dr. Jacob Herrman

Jacob Herrmann joined the Roy J. Carver Department of Biomedical Engineering in the Fall of 2022. Dr. Herrmann received BS and MS degrees in Biomedical Engineering from Boston University, and the PhD in Biomedical Engineering from the University of Iowa. Dr. Herrmann conducted postdoctoral fellowships at Boston University and at University of Iowa (as part of the T32 Lung Imaging Training Program). Dr. Herrmann also co-founded OscillaVent, Inc., to translate his graduate thesis work into a commercializable medical device for mechanical ventilation.

Dr. Herrmann’s research interests encompass measurement, modeling, and control of dynamical systems involving multiscale phenomena and emergent behavior from complex interactions. Our lab’s current research objectives focus on elucidating the biomechanical conditions that drive lung injury and disease progression, and evaluating new therapeutic strategies to improve patient care. We use dynamic image reconstruction techniques to quantify the structural deformations of lung tissues during precision-timed mechanical ventilation or breathing-like stretch, capturing multiscale respiratory dynamics ranging from organ-level mechanics down to the interactions between individual collagen and elastin fibers.


Man smiling
Dr. Jason Woods

My interest in pulmonary imaging research was born of a unique background in hyperpolarized gases and atomic physics, combined with an interest in translational applications to surgery and pulmonary medicine.

My primary research areas include pulmonary MRI, regional structure-function relationships, pathophysiology, translational imaging research and clinical trials. The overall goal of this research is to improve outcomes for patients with lung disease through precise imaging and determination of regional structure-function relationships, using a combination of translational techniques and innovative methodologies.

We have pioneered 129Xe MRI in pediatrics and help lead the 129Xe MRI Clinical Trials Consortium. We also have begun to redefine bronchopulmonary dysplasia (BPD) by imaging-phenotypes, which show a direct relationship to outcomes.

Our research team is comprised of experts in hyperpolarized-gas MRI and in the use of this technique to measure regional lung function, physiology and microstructure. Many of the fellows and junior faculty that I have mentored have won awards and recognition from national and international organizations, such as the International Society for Magnetic Resonance in Medicine (ISMRM), the American Thoracic Society (ATS) and the Society for Pediatric Radiology (SPR).

Since my arrival at Cincinnati Children’s in 2013, I’ve served as the director of the Center for Pulmonary Imaging Research (CPIR). Our center offers a multidisciplinary research and training program that combines pulmonary medicine, radiology and neonatology. I also co-lead the Bronchopulmonary Dysplasia Center at Cincinnati Children’s, where imaging research has been rapidly translated into clinical care and improved patient outcomes.


blonde woman grinning
Dr. Marrissa McIntosh

Dr. Marrissa McIntosh previously completed her PhD in Medical Biophysics at Western University under the supervision of Dr. Grace Parraga. Her primary research focus is to evaluate eosinophilic asthma patients and their response to biologic therapy using advanced imaging technologies including 129Xe MRI and chest CT.




Poster Session
Kimberly Schroeder Don't Judge a Nodule by Its Looks: Evaluation of Lung Cancer Risk Prediction Models
Daniel Meggo Quantifying temporal dynamics of alveolar recruitment during mechanical ventilation
Faizyab Chaudhary Single Volume Surrogates of Lung Function through Generative Adversarial
Carley Stewart Spatial Analysis of Mucociliary Transport Patterns
Kevin Knoernschild Development of a Radiomics Machine Learning Model for Lung Cancer
Screening Utilizing Low Dose CT
Qi Wang In Vitro 2.5D System for Studying Mechano-chemical processes that drive
lung remodeling and fibrosis
Adam Galloy Characterization of lung lobar sliding kinematics using finite element
modelling and helmholtz-hodge decomposition
Jian Gao Assessing the Mechanical Properties of Acutely Injured Lungs: A
Comparative Study of Traditional and Novel Ventilation Techniques
Emmanuel Akor Utilizing Computed Tomographic (CT) Imaging Mechanical Characteristics
of the Acutely Injured Lung: A Quantitative CT Imaging Assessment
Hira Awan QCT texture biomarkers are associated with all cause mortality in
Erik Cole Graph Neural Networks for Correlating Airway Structural Features with
COPD Severity
Jake Kitzmann Semi-Automated Segmentation of Pulmonary Nodules
Keegan Staab Regional Correlation of Pulmonary Gas Exchange and Perfusion in IPF
using MRI
Soheil Hosseini AI-Assisted CT-based Characterization of Pulmonary Arterial and Venous
Wahidul Alam Accelerated Imaging of Airway Collapse in Obstructive Sleep Apnea:
Utilizing Generative variational Manifold Learning in Synergy with a
Custom Upper Airway Coil and Variable Density Spirals
Natally AlArab Optimizing Chest CT with Photon-Counting Detector Technology: Comparison
to Established Energy-Integrating Detector CT Protocols
Suchet Anand Relationships between Lung Inflammation, Measures of Cognition, and
Brain MRI in Heavy Smokers
Jonathan Percy Assessment of Ventilation and Gas Exchange in Long COVID Using
Hyperpolarized Xe and Quantitative CT
Zachary Altof Anomaly Detection for Fissure Integrity Analysis Screening      
Xuan Zhang Identification of Sub-clusters of Post-COVID-19 Subjects using a
Contrastive Deep Learning Approach


Individuals with disabilities are encouraged to attend all University of Iowa–sponsored events. If you are a person with a disability who requires a reasonable accommodation in order to participate in this program, please contact Kim Glynn in advance at (319)384-1024 or kimberly-a-glynn@uiowa.edu