Research Mission

The 3D and Quantitative Imaging Laboratory is dedicated to exploring and developing innovative visualization and post-processing techniques of medical imaging to aid in the quantitative assessment and analysis of disease diagnosis, treatment planning and treatment evaluation. We strive to apply the most advanced image processing technologies and systems to maximize the diagnostic information obtained from each imaging study to ensure clinicians provide excellent care for our patients.

Our research endeavors include developing unique post-processing protocols, spearheading interdisciplinary clinical programs, and implementing emerging technologies to help visualize the most complex of cases. Such work is possible only through close collaborations between the Department of Radiology and clinicians from other specialties, including cardiothoracic surgery, neurology, oncology, and pediatrics, as well as faculty and researchers from other school, outside institutions, and industry.

Research projects range from developing new post processing protocols for clinicians within the Department of Radiology and other specialties in the Department of Medicine, spearheading interdisciplinary programs to optimize patient care, and implementing new visualization technologies for
complex cases.
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Research Areas of Interest

Dominik Fleischmann

• Cardiovascular Imaging
• Aortic Diseases
• Computed Tomography
• Non-Invasive Cardiovascular Imaging
• Image Post-Processing
• Contrast Medium Dynamics
• Aortic Dissection
• Three-Dimensional Imaging
• Quantitative Analysis

Sandy Napel

• Image Processing
• Volumetric Segmentation
• Radiomics
• Computer Aided Detection
• Computer Aided Characterization
• Pulmonary Nodules
• Magnetic Resonance Imaging
• Computed Tomography
• Quantitative Analysis

Hans-Cristoph Becker

• Computed Tomography
• Cardiovascular Imaging
• Oncology
• Oncological Response
• Myocardial Bridges
• Myocardial Ischemia
• Coronary Angiography
• CT Angiography
• Quantitative Analysis

Shannon Walters

• Image Post-Processing
• Computed Tomography
• Magnetic Resonance Imaging
• 3D Printing
• Three Dimensional Imaging
• Oncological Response
• Immersive Reality Realization
• Quantitative Analysis
• Image Processing

Current Research & Projects

Individual Risk Prediction After TAVR

Adequate risk characterization is essential in patients undergoing transcatheter aortic valve replacement (TAVR). The goal of this project is to evaluate potential risk predictors in patients. Together with the departments of Cardiology and Cardio-thoracic Surgery we built a database with over 400 patients. Currently, we are evaluating CT measurements for sarcopenia and frailty, and we are evaluating the prognostic value of calcifications of the cardiac valves and coronary arteries.

3D Printed Anatomical Models

The 3DQ Lab uses additive manufacturing technologies to generate three-dimensional anatomical models that demonstrate areas of a patient’s body. Our lab provides a variety of 3D printing modalities such as FDM, SLA, and DLP; with materials spanning opaque ABS to semi-transparent photopolymers. We utilize  DICOM data to reproduce patient-specific anatomy that can be used for education, pre-surgical planning, and patient consent. 3D Print orders can currently be placed through EPIC.

Tumor Response Assessment by Criteria

Standardized reporting and visualization of lesion size over the course of cancer treatment provides oncologists with consistent, reliable information for treatment decisions and gives patients and intuitive visualization of the disease process (via tables and diagrams). This data serves as a scientific database for deeper analysis of the imaging time points, disease development under various therapeutic approaches, and application of alternate criteria standards for prediction of patient outcomes.

3DQ Lab Aortic Surveillance

Patients with aortic diseases require life-long surveillance with imaging to detect and prevent catastrophic outcomes, such as aneurysm formation and rupture. Surgical decisions are based on sizes at various locations of the aorta and the growth rate. Identifying and measuring the exact locations along the aorta between cohorts of patients is challenging but can be addressed through standardized measurement locations. Communicating this information is possible with our database and custom graphing tools.

Computational Fluid Dynamics

The 3DQ Lab performs computational fluid dynamic simulations of patient-specific aortic dissections. In collaboration with the Marsden Lab, we utilize Fluid-Structure-Interaction methods on Arbitrary-Eulerian-Lagrangian meshes to obtain realistic pressure and velocity information in patient-specific models. Learning about the interaction of deformation, wall shear stress, pressure differences, and oscillatory shear stress assists with understanding the driving factors in disease progression.

Successes

TAVR Program

Aortic Surveillance Program and Risk Calculator
• Brought about through a collaboration with the Department of Cardiothoracic Surgery, the Aortic Surveillance Program provides a streamlined comprehensive and standardized approach to monitoring of patients with aortic diseases.
• ISCT Poster: http://www.epostersonline.com/isct2016/node/46

Aortic Risk Calculator (DF)

3D Printing

Timeline of Past Research

Aortic Modeling
Liver Perfusion
Intractable Epilepsy
Radiomics
Symvascular
Daniel Rubin
Peji
Shreyas
TRAC/Mint Lesion
True3D/Echopixel
Muscoskeletal
3D Printing

Lucas Report – 3DQ Lab 2007
Lucas Report – 3DQ Lab 2008
Lucas Report – 3DQ Lab 2009
Lucas Report – 3DQ Lab 2010
Lucas Report – 3DQ Lab 2011
Lucas Report – 3DQ Lab 2012 – 2013

Research Grants

RSNA
https://www.rsna.org/Grants-and/Awards/

NIH

Institutional

Society of Interventional Radiology
• https://www.sirfoundation.org/grants_awards/

Society of Abdominal Radiology
• https://www.abdominalradiology.org/?ResearchGrants

Society of Thoracic Radiology
• http://thoracicrad.org/?portfolio=research

Society for Pediatric Radiology
• http://www.pedrad.org/Research/SPR-Research-Education-Foundation/Research-Awards