Research
Our problem domain includes both basic science (e.g.,image acquisition) and clinical applications (e.g. measures of image quality). Our scope of imaging is broad and includes the study of image formation, qualitative analysis, evaluation and quantitative measures. We are interested in imaging structures at the molecular, cellular, tissue, and organ levels of analysis.
Projects within the Biomedical Imaging Lab tightly couple biological science with fundamental principles from applied mathematics, electrical engineering, and computer science. We emphasize fundamental engineering principles related to:
- Image formation;
- Quantitative methods of image analysis;
- Measures of performance evaluation and image quality.
The scope of our research includes medical images from micro, tissue and whole body modalities.
Active Projects
| Clinical validation of cardiac strain measures with real-time 4D ultrasound (2008-2012) Funded by National Institutes of Health (NHLBI)1 R01 HL086578-01A2 - Period: 9/1/08 – 08/31/12 Short Info : This is a development of comparative studies of strain using cardiac MRI and 4D cardiac ultrasound. 4D optical flow based motion tracking algorithm is developed to extract fully 4D dynamic cardiac metrices. This is the first validation study of optical flow based strain estimation for 4D ultrasound with direct comparison based on in vivo data. more
|
 |
| Automated detection of Protein Crystal Images Funded by National Institutes of Health (NESG) Period: 2000-2009 Short Info : High-throughput experiments with varying crystallization conditions are currently performed with the hopes that one or more conditions will provide leads for actual protein crystallization. The High-throughput experiments generate millions of images that then have to be analyzed. We propose an automated classification algorithm that can replace the need for crystallographers to manually classify these images. more
|
|
| Quantitative Analysis of Retinal Images via Fluoroscopy (2005-2010) Funded by National Institutes of Health (NIH)1 R01 EY0115520-01A1 Period: 9/15/05 – 08/31/10 Short Info: Create robust and minimal intervention algorithms for segmentation and quantitation of the key abnormalities in retinal disorders: drusen, GA, hyper- and hypopigmentation in color photographs, hyper/hypofluorescent lesions in AF images, and hyper/hyporeflectance in IR images. Define disease metrics based on data fusion from the images in registration. more
|
|
| IVUS Image Analysis (2008-2009) Funded by Volcano Rancho Cordova – Corporate Headquarters Period: 9/1/08 – 8/31/09 Collaboration with Dr. Bernhard Sturm, Volcano Rancho Cordova, Dr. Elsa D. Angelini, Telecom ParisTech, Paris, France Short Info: Design and implement on IVUS image denoising and lumen border detection. more
|
 |
| Development of non-Fourier MR Spectroscopy Protocols for Brain Imaging (2007-2012) Funded by NIH (RO1 Subcontract from New York University, Department of Radiology) Period: 8/1/2007 to 7/31/2012 Collaboration with Dr. Oded Gonen, Dr. Matilde Ingelese, Center for Biomedical Imaging of New York University’s Department of Radiology Short Info: The goal of this project is to develop acquisition and reconstruction methods of non-Fourier data for diagnosis of various diseases. more
|
   |
| Non-Contrast Enhanced Magnetic Resonance Angiography Funded by NIH grant HL092439 Collaboration with Dr. Vivian Lee from the Center for Biomedical Imaging of New York University’s Department of Radiology Short Info: The objective of this project is to develop and test non-contrast-enhanced MRA for the diagnosis of patients with peripheral arterial disease at 3T. more |
 |