I am the director of the Vision and Image Processing (VIP) Laboratory. Along with my colleagues, we investigate how to improve early diagnostic methods and find new imaging biomarkers of ocular diseases in adults (e.g. age-related macular degeneration, diabetic retinopathy, or Glaucoma) and children (e.g. retinopathy or prematurity). We also develop automatic segmentation algorithms to detect/segment/quantify anatomical/pathological structures seen on medical images. On another front, we study efficient signal processing based methods to overcome the theoretical and practical limitations that constrain the achievable resolution of any imaging device. Our approach, which is based on adaptive extraction and robust fusion of relevant information from the expensive and sophisticated as well as simple and cheap sensors, has found wide applications in improving the quality of imaging systems such as ophthalmic SD-OCT, digital X-ray mammography, electronic and optical microscopes, and commercial digital camcorders. We are also interested in pursuing statistical signal processing based projects, including super-resolution, demosaicing, deblurring, denoising, motion estimation, compressive sensing/adaptive sampling, and sensor fusion.

Contact Info:

Office Location:	2575 CIEMAS
Office Phone:	(919) 684-6642
Email Address:
Web Page:	http://www.duke.edu/~sf59/

Education:

M.S., University of Tehran (Iran), 2001

B.S., Sharif University of Technology (Iran), 1999

Research Interests:

Farsiu's research focuses on medical imaging and image processing to improve the overall health and vision outcome of patients with ocular and neurological diseases (e.g., age-related macular degeneration, diabetic retinopathy, Alzheimer, and ALS) through earlier and personalized therapy.

Specialties:

Medical Imaging
Photonics
Signal Processing
Medical Diagnostics
Cancer diagnostics and therapy
Diagnostics

Awards, Honors, and Distinctions

Best paper award (formerly the Senior Award), IEEE Signal Processing Society, 2010

Selected Patents

• Segmentation and identification of layered structures in images, 8811745, 2014/08/19.      
• Robust reconstruction of high resolution grayscale images from a sequence of low resolution frames, 7477802, 2009/01/13.      
• Dynamic reconstruction of high-resolution video from color-filtered low-resolution video-to-video super-resolution, 7379612, 2008/05/28.      
• Kernel regression for image processing and reconstruction, 7889950, 2011/02/15.      
• System and method for robust multi-frame demosaicing and color super-resolution, 7412107, 2008/08/12.      

• BME 399, SPECIAL READINGS

Representative Publications   (More Publications)   (search)

1. Chiu, SJ; Izatt, JA; O'Connell, RV; Winter, KP; Toth, CA; Farsiu, S, Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images., Invest Ophthalmol Vis Sci, vol. 53 no. 1 (January, 2012), pp. 53-61 [22039246], [doi]  [abs].
2. Estrada, R; Tomasi, C; Cabrera, MT; Wallace, DK; Freedman, SF; Farsiu, S, Enhanced video indirect ophthalmoscopy (VIO) via robust mosaicing., Biomed Opt Express, vol. 2 no. 10 (October, 2011), pp. 2871-2887 [22091442], [doi]  [abs].
3. Larocca, F; Chiu, SJ; McNabb, RP; Kuo, AN; Izatt, JA; Farsiu, S, Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming., Biomed Opt Express, vol. 2 no. 6 (June, 2011), pp. 1524-1538 [21698016], [doi]  [abs].
4. Robinson, MD; Toth, CA; Lo, JY; Farsiu, S, Efficient fourier-wavelet super-resolution., IEEE Trans Image Process, vol. 19 no. 10 (October, 2010), pp. 2669-2681 [20460208], [doi]  [abs].
5. Chiu, SJ; Li, XT; Nicholas, P; Toth, CA; Izatt, JA; Farsiu, S, Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation., Opt Express, vol. 18 no. 18 (August, 2010), pp. 19413-19428 [20940837], [doi]  [abs].
6. Farsiu, S; Christofferson, J; Eriksson, B; Milanfar, P; Friedlander, B; Shakouri, A; Nowak, R, Statistical detection and imaging of objects hidden in turbid media using ballistic photons., Appl Opt, vol. 46 no. 23 (August, 2007), pp. 5805-5822 [17694130], [doi]  [abs].
7. Farsiu, S; Robinson, MD; Elad, M; Milanfar, P, Fast and robust multiframe super resolution., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 13 no. 10 (October, 2004), pp. 1327-1344 [15462143], [doi]  [abs].

Selected Grant Support

• Computer Aided Classification of Diabetic Macular Edema, National Institutes of Health, R01 EY022691 01.      
• Portable Motion Compensated SDOCT System for Imaging Young Children, National Institutes of Health, R21 EY021321 01A1.      
• Non-invasive monitoring and diagnosis of ocular neurodegenerative diseases using cell density measurement via angle-resolved low coherence interferometry, Duke University.      
• Ultrahigh-Resolution Adaptive Optics Optical Coherence Tomography/Scanning Laser Ophthalmoscopy System, North Carolina Biotechnology Center.