Geiger photodiodes for diffuse optical correlation tomography

R. Sia, C. J. Stapels, E. B. Johnson, T. Durduran, C. Zhou, G. Yu, A. G. Yodh, F. L. Augustine, J. F. Christian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Based on CMOS Geiger photodiode (GPD) pixels developed at RMD Inc. and fabricated with MOSIS consortium, we present a detector design that is capable of providing high-speed and single optical photon sensitivity in the near infrared region. The integration of the electronic reset with these CMOS pixels enables their use in a cost-effective large imaging array to provide a substantial increase in the signal-to-noise ratio and facilitate the high-speed, pixel-level signal processing required for photon-counting Diffuse Correlation Tomography (DCT). DCT is an imaging technique in progress that promises to provide a method for routine, non-invasive cancer screening and treatment by imaging blood flow, tissue oxygenation, and the distinct vasculature associated with the angiogenesis of cancerous growth using non-ionizing radiation. In this work, we present results of the design, fabrication and characterization of the CMOS Geiger pixels and their associated integrated reset circuits for DCT measurements.

Original languageEnglish
Title of host publication2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC
Number of pages6
StatePublished - 2007
Event2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC - Honolulu, HI, United States
Duration: Oct 27 2007Nov 3 2007

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863


Conference2007 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS-MIC
Country/TerritoryUnited States
CityHonolulu, HI

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Geiger photodiodes for diffuse optical correlation tomography'. Together they form a unique fingerprint.

Cite this