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David                          Wack

David S. Wack PhD

Department of Nuclear Medicine

Associate Professor

 
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Professional Summary:

My research interests are developing methods for the analysis of medical images. My research focuses on creating parametric maps from post-reconstructed PET, SPECT, MRI, CT, and source localization EEG images. My current work focuses on improving parameter estimation using dynamic image noise reduction, segmentation algorithms, and the development of large image databases and specialized image search algorithms.

Education and Training:
  • PhD, Communicative Disorders and Sciences, State University of New York at Buffalo (2010)
  • MA, Applied Mathematics, State University of New York at Buffalo (1992)
  • BA, Music Performance, State University of New York at Buffalo (1989)
  • BA, Applied Mathematics, State University of New York at Buffalo (1989)
Employment:
  • Research Associate Professor, SUNY at Buffalo (2013-present)
  • Chief of Algorithm and Multimodal Integration Research, Buffalo Neuroimaging Analysis Center, Jacobs Neurological Institute (2007-present)
  • Research Assistant Professor, State University of New York at Buffalo (1998–2013)
  • Instructor, State University of New York at Buffalo (1995–2008)
  • IT Specialist / Applications Software, Veterans Administration Western New York Health Care System (1992–2006)
  • Research Instructor, State University of New York at Buffalo (1992–1998)
  • Instructor, Daemen College (1992)
  • Assistant Professor, Mathematics, Erie Community College (1991–1992)
  • Instructor, State University of New York at Buffalo (1991)

Research Expertise:
  • Auditory Imaging: Functional Imaging of Auditory System
  • Medical Imaging Analysis and Algorithms: Kinetic Modelling, Noise Reduction Methods, Medical Imaging Informatics

Journal Articles:
See All (25 Total) >
Abstracts:
  • Wack D Wisniewski S Erb D Dandona P Nabi H. Complex singular value decomposition improves the image quality of C11-PIB images. 5th Annual Human Amyloid Imaging. 2011.
  • Nabi H Dhindsa S Erb S Wack D Chaudhuri A Dubey S Wisniewski S Dandona P. Objective measurement of B amyloid plaques with C-11 PIB Positron Emission Tomography of Hypogonadal Men with Type 2 Diabetes. 5th Annual Human Amyloid Imaging. 2011.
  • Wack D Badgaiyan R. Complex Singular Value Decomposition improves parameter estimation in dynamic PET images. J. Nucl Med. 2011; sup1.
  • Poloni GU Zamboni P Haacke EM Bastianello S Dwyer MG Bergsland N Schirda C Wack D Magnano C Weinstock-Guttman B Salvi F Hojnacki D Zivadinov R. Quantitative venous vasculature assessment on susceptibility-weighted imaging reflects presence of severe chronic venous insufficiency in the brain parenchyma of multiple sclerosis patients. A case-control study. Proc Soc Magn Reson Med. 2010.
  • Wack D Dwyer MG Bergsland N Hussein S Zivadinov R.. Evaluating MACC for improved MS rater agreement.. Proc Soc Magn Reson Med. 2010.
  • Wack D Dwyer MG Bergsland N Zivadinov R. The need for standardization of lesion activity analysis categorization in the multiple sclerosis clinical trials. Neurology. 2010; 74(suppl).
  • Schirda C Zamboni P Magnano C Lindzen E Wack D Weinstock-Guttman B Ramasamy D Carl E Hojnacki D Kennedy C Dwyer MG Bergsland N Cox JL Salvi F Zivadinov R. Objective quantification of cerebrospinal fluid (CSF) flow rate in cerebral aqueduct in patients with multiple sclerosis. Neurology. 2010; 74(suppl).
  • Wack DS Dwyer MG DiPerri C Ranza L Hussein S Durfee J Schirda C Bergsland N Cox JL Zivadinov R. Inter-operator agreement of hyperintense T2 lesions is improved on 3T versus 1.5T scanners. Mult Scler. 2009; 15(suppl).
  • Bednarczyk EM Wack DS Lockwood AH Pendergast D. A Pilot Study of Cerebral Blood Flow (CBF) under Physiologic Simulations of Altered Gravity. ASCPT. 2000.


Clinical Specialties:
Clinical Offices:
Insurance Accepted:

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Contact Information

105 Parker Hall
SUNY at Buffalo
3435 Main St.
Buffalo, NY 14214
Phone: (716) 838-5889
Email: dswack@buffalo.edu


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