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Technology Research and Development

The technology research and development (TR&D) program of CQIBA:

TR&D 1: Integrative analysis methods for high-dimensional biomedical data

  • Aim 1: Robust and accurate volumetric segmentation tools for hetero-modal CT and PET-CT datasets
  • Aim 2: Longitudinal volumetric tracking of regions of interest on CT and PET-CT
  • Aim 3: Longitudinal regions of interest volumetric segmentation from hetero-modal, multi-contrast MRI

TR&D 2: Hetero-modal machine learning and estimation for longitudinal image segmentation

  • Aim 1: Robust and accurate volumetric segmentation tools for hetero-modal CT and PET-CT datasets
  • Aim 2: Longitudinal volumetric tracking of regions of interest on CT and PET-CT
  • Aim 3: Longitudinal regions of interest volumetric segmentation from hetero-modal, multi-contrast MRI

TR&D 3: Identification of reproducible radiomic feature-networks to characterize biological phenotypes

  • Aim 1: Determination of robust image features from phantoms, synthetic data, and reference datasets
  • Aim 2: Framework for data extraction process
  • Aim 3: Determination of network “meta features” as robust signatures of image characteristics and image quality

Collaborative Projects

Collaboration Request

Submit our research project request form to kellerj@mskcc.org.

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Development of a Self-Inactivating, Highly Effective Tb Vaccine; Pet Probes Targeting Immune Cells for Imaging Tuberculosis (Part of TR&D 1,2,3)
Flynn, JoAnne, University of Pittsburgh

Predict-ADFTD: Multimodal Imaging Prediction Of AD/FTD and Differential Diagnosis (Part of TR&D 1,2,3)
Wang, Lei; Northwestern University

3D Printing of Anatomically Realistic Phantoms for Optimization of Imaging Algorithms (Part of TR&D 1,2,3)
Lo, Joseph; Duke University

MRI Characterization of Biological Risk of Ductal Carcinoma In Situ (Part of TR&D 1,2,3)
Rahbar, Habibollah; University of Washington

Integrating Radiomics into 20819 And Lung-Map Biomarker Driven Clinical Trials for Lung Cancer (Part of TR&D 1,2,3)
Schwartz, Larry; Columbia University

Identification of Essential Areas of the Brain in Pre-Operative Brain Tumor Patients Using Bold FMRI and Independent Physiological Parameters (Part of TR&D 1,2,3)
Holodny, Andrei; Memorial Sloan Kettering Cancer Center

Brain Cancer Radio-Pathomics for Predicting Heterogeneous Cytology (Part of TR&D 1,2,3)
LaViolette, Peter S.; Medical College of Wisconsin

Service Projects

Integrated Analysis of Coronary Anatomy and Biology with 18F-Fluoride PET and CT Angiography (Part of TR&D 2)
Slomka, Piotr; Cedars-Sinai Medical Center

Multiregional Imaging Phenotypes and Molecular Correlates of Aggressive Versus Indolent Breast Cancer (Part of TR&D 1,2,3)
Li, Ruijiang; Stanford University

High Resolution Volumetric MRI for Prostate Cancer Active Surveillance (Part of TR&D 1,3)
Kim, Hyung L.; Cedars-Sinai Medical Center

Risk Prediction for Development of Adverse Effects Following RT for Prostate Cancer (Part of TR&D 1)
Kerns, Sarah L.; University of Rochester

Intratumor Heterogeneity and Therapeutic Resistance (Part of TR&D 1,2,3
Janiszewska, Michalina; Scripps Florida

Molecular Imaging of Cachexia in Pancreatic Cancer (Part of TR&D 1,2,3)
Bhujwalla, Zaver; Johns Hopkins University

Qubbd: Precision Radiomics for Dynamic Big Head & Neck Cancer (Part of TR&D 1,2,3)
Marai, Georgeta-Elisabeta; University of Illinois at Chicago (collaboration with Fuller, David Clifton, MD Anderson Cancer Center)

Towards Precision Immuno-Oncology: Unraveling the Genomic Determinants and Mechanisms Underlying Immunotherapy Efficacy and Resistance (Part of TR&D 1,2,3)
Chan, Timothy; Memorial Sloan Kettering Cancer Center

Real-Time Monitoring of Circulating Pancreatic Tumor Cells and Clusters (Part of TR&D 1,2,3)
Carpenter, Erica; University of Pennsylvania