Active Grants

 

​Role: PI                    Source: NIH/NIBIB                               No. R01 EB032807

Total Budget:  $3,134,120         Period: 05/01/2023-02/28/2027      

Title: AI-based cardiac CT

Goal: The goal of this project is to apply deep learning to radically improve cardiac CT reconstruction by attaining significantly higher temporal resolution, lower radiation exposure, and better image quality on both modern and legacy CT hardware.

 

Role: PI                    Source: NIH/NIBIB                               No. R01 EB034737 

Total Budget:  $2,915,956         Period: 07/01/2023-04/30/2027      

Title: Unsupervised Deep Photon-Counting Computed Tomography Reconstruction for Human Extremity Imaging

Goal: The goal of this project is to develop an Unsupervised Deep Learning Approach (UDLA) for few-view and low-dose image reconstruction, with much higher spatial resolution and computational efficiency, and without the requirement of ground- truth for training.

 

Role: PI                    Source: NIH/NCI                               No. CA264772 

Total Budget:  $436,096         Period: 09/16/2021-08/30/2024      

Title: SPECT with a Compton Camera for Thyroid Cancer Imaging

Goal: The goal of this project is to design a high-efficiency and high-quality tomographic imaging system with a Compton camera dedicated to thyroid cancer imaging

​

Role Co-PI (PI: M. Gkikas), Source: Mass Life Sci. Ctr,           No:240003

UML  Budget $750,000       Period: 07/01/2020-06/30/2024

Title: Breast Cancer Detection Enpowered by Contrast Agents, Spectral CT, and Machine learning

Goal: The overall goal is to leverage advanced X-ray CT techniques empowered by novel targeting contrast agents and machine learning to achieve deep tissue cancer recognition at early stages.

 

Role Co-PI (PI: B. Zhang), Source: FDA                       No: 2021-67021-34456

UML  Budget $476,488       Period: 06/15/2021-06/14/2024

 Title: Machine Learning Enabled Detection of Pathogenic and Spoilage Microorganisms on Foods using Paper Chromogenic Arrays of Dye-Impregnated Porous Nanosilica

Goal: The hypothesis of the study is that the combination of PCA and CNN pattern recognition can be used in multiplex microbial identification, quantification, and determination of food spoilage status.

 

Role: PI                    Source: UMass President Office 

Total Budget:  $25,000         Period: 07/01/2017-12/31/2023    

Title: Consortium for Research on Imaging and Informatics

Goal: The goal of this project is to foster inter-campus collaboration on imaging and informatics for fighting cancer in the UMass System.

 

Recent Completed Grants

 

Role: Subcontract PI (PI: DeMan)  Source: NIH/NCI       No: U01CA231860                       

UML Budget:  $140,819       Period: 04/11/2019-03/31/2023       

Title: Open-access x-ray and CT simulation toolkit for research in cancer imaging and dosimetry

Goal: The goal is to develop an open-access toolkit of x-ray and CT simulation for research in cancer imaging and dosimetry.

 

Role: PI             Source: US Army CCDC       No: S51310047977CF1

UML Budget:  $246,869       Period: 09/25/2020-09/26/2022       

Title: AI-enabled Nondestructive Surveillance of Foodborne Pathogen

Goal: The goal is to develop a paper-sensor based system for the surveillance of foodborne pathogen.

 

Role: Subcontract PI (PI: Pelc)  Source: NIH/NIBIB                   No: U01EB017140                      

UML Budget:  $478,710       Period: 09/17/2014-06/30/2020       

Title: High dose efficiency CT system

Goal: The goal is to develop a CT system with much higher dose efficiency for general imaging applications than today's state of the art.

 

Role: Subcontract PI (PI: Kumar)   Source: DOE ARPA-E   No: DE-AR0000827

Total Budget:  $167,108         Period: 06/23/2017-12/22/2019      

Title: Low cost x-ray CT system for in-situ imaging of roots

Goal: The goal of this project is to develop low cost x-ray CT system for in-situ imaging of roots and UMass Lowell is responsible for image reconstruction part.

 

Role: PI                                      Source: NSF/CBET                  No: 1540898                      

Total Budget:  $403,830            Period: 06/01/2012-05/31/2019       

Title: CAREER: Development and Application of CS-based Interior Tomography 

Goal: The goal of this CAREER proposal is to advance the CS-based interior tomography theory and algorithms, and make a paradigm shift from traditional global filtered back-projection (FBP) to contemporary interior reconstruction.

 

Role: PI                    Source: NIH/NIBIB             No: R21EB019074                   

Total Budget:  $441,415         Period: 09/11/2015-06/30/2019      

Title: Tensor-based dictionary for imaging biomarkers

Goal: The overall goal of this R21 project is to develop tensor-based dictionary learning method to extract features for classifications. The example application is the ultra-low-dose lung cancer screening.

 

Role: PI (Collaborative PI: Katsevich)   Source: NSF/DMS   No: 1619550                       

Total Budget:  $86,692              Period: 07/15/2012-03/31/2017                                         

Title: Collaborative Research: Mathematical Aspects of Interior Problem of Tomography

Goal: The objective of the proposed research is to assemble a team of pure and applied mathematicians as well as specialists in computations and tomography who will develop, implement, and test image reconstruction algorithms for solving the interior problem of transmission and emission tomography.

 

Role: Co-PI (PI: Wang) Source: NIH/NIBIB                No: R01EB011785                      

Subcontract Budget:  $327,061         Period: 02/01/2010-01/31/2015       

Title: Cardiac CT: Advanced Architectures and Algorithms 

Goal: The overall goal of this project is to develop novel cardiac CT architectures and the associated reconstruction algorithms, and define the next-generation cardiac CT system.

 

Role: PI                                       Source: WFUHS Pilot Grant                                              

Total Budget:  $10,000               Period: 07/01/2014-06/30/2015       

Title: Pilot study for learning based imaging bioinformatics

Goal: The goal of this project is to demonstrate the feasibility of dictionary learning based method for imaging bioinformatics.

 

Role: Co-PI                              Source: NSF/CBET                      No. 1348097              

Total Budget:  $8,000              Period: 04/01/2014-03/31/2015       

Title: Support for US Young Investigators to attend IEEE International Symposium on Biomedical Imaging, Beijing, China, April 28-May 2, 2014

Goal: The goal of project is support US young investigators to attend the IEEE ISBI’14 conference in Beijing, China, April 28-May 2, 2014.

 

Role: Subcontract PI (PI: Wang) Source: NSF/MRI                    No: 0923297 

Subcontract Budget:  $142,535        Period: 08/15/2009-08/14/2013

Title: Development of the next-generation nano-CT system for ROI-focused scanning and exact interior reconstruction

Goal: The goal is to develop the next-generation x-ray nano-CT system, which will permit faithful reconstruction of deeply embedded local details in 50nm resolution with a 10-fold lower radiation dose within a sample that is up to 10 times larger than what is currently possible.

 

Role: PI                                       Source: WFIRM  Seed Grant                                              

Total Budget:  $30,000               Period: 03/01/2011-12/31/2012       

Title: True-color micro-CT characterization of liver vasculature for regenerative medicine

Goal: The goal of this project is to characterize the vascular network of the acellular liver scaffold using the cutting-edge true-color scanner, interior reconstruction theory and modern statistical methods.

 

Role: PI                                       Source: TSI Pilot Grant                                              

Total Budget:  $5,000                 Period: 09/01/2011-12/31/2011        

Title: Pilot study for compressive sensing based low-dose CT

Goal: The goal of this project is to generate some supportive results of dictionary learning based method for ultra-low-dose lung cancer screening.

 

Role: PI                                        Source: NIH/NIBIB                 No: R03EB007288                      

Total Budget:  $157,792              Period: 09/01/2007-08/31/2010       

Title: Data consistency based motion artifact reduction for head CT

Goal: The goal of this project is to develop effective CT methods for motion estimation based image reconstruction, improve the diagnostic performance, and enable new clinical applications.

 

Role: PI                                        Source: NIH/NIBIB                 No: R43EB009275                      

Total Budget:  $140,000              Period: 07/01/2009-12/31/2010       

Title: Development of Methods and Software for Interior Tomography Applications

Goal: The overall goal of this project is to develop software for interior tomography in terms of analytic and iterative algorithms.

 

Role: Co-PI (PI: Wang)              Source: NIH/NIBIB                 No: R01EB002667                      

Total Budget:  $1,408,525           Period: 09/30/2003-07/31/2010        

Title: Cone-Beam Methods for Dynamic Volumetric X-Ray CT

Goal: The overall goal of this project is to develop and optimize analytic cone-beam algorithms with an emphasis on high temporal resolution and short scan range, and directly applicable to major applications such as cardiac imaging, CT fluoroscopy, perfusion studies, CT angiography, oncologic imaging, small animal imaging, as well as PET and SPECT.

 

Role: Co-PI (PI: Wang)             Source: NIH/NCRR                 No: S10RR025667                       

Total Budget:  $500,000             Period: 12/15/2008-12/14/2009       

Title: Acquisition of a 500nm resolution nano-CT scanner

Goal: The overall goal of this project is to acquire a state-of-the-art 500nm CT system for a large group of NIH/NSF funded major users on the Virginia Tech and Wake Forest Campuses to enable or accelerate their research efforts in various biomedical areas.

 

Role: Investigator (PI: Wang)  Source: NIH/NIBIB                 No: R21/R33EB004287                       

Total Budget:  $1,404,387          Period: 04/01/2003-12/31/2009       

Title: Bolus chasing CT angiography using adaptive control techniques

Goal: The overall goal of this project is to develop an adaptive and robust bolus-chasing methodology for multislice/cone-beam spiral CTA in a wide class of diagnostic applications.

 

Role: Co-PI (PI: Ni)                   Source: NIH/NIBIB                 No: R21EB006412                      

Total Budget:  $221,250             Period: 05/01/2006-04/30/2008       

Title: Large-scale parallel implementation of Katsevich algorithm for 3D CBCT image reconstruction

Goal: The overall goal of this project is to develop a specific parallel algorithm for 3-D CT/micro-CT medical image reconstruction on large scale heterogeneous systems.

 

Role: Co-PI (PI: Wang)             Source: Toshiba Company                          

Total Budget:  $140,000             Period: 11/01/2008-12/31/2009       

Title: Development and evaluation of innovative biomedical imaging techniques

Goal: The overall goal of this project is to evaluate the application feasibility to Toshiba of our state-of-the-art technology.