Design considerations for the next-generation MAPMT-based monolithic scintillation camera

Esen Salçin, H. Bradford Barber, Lars R. Furenlid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Multi-anode photomultiplier tubes (MAPMTs) offer high spatial resolution with their small size anodes that may range from 64 to 1024 in number per tube. In order to increase detector size, MAPMT modules can be arranged in arrays and combined in a single modular scintillation camera. However, then the large number of channels that require amplification and digitization become practically not feasible unless signals are combined or reduced in some manner. Conventional approaches use resistive charge division readouts with a centroid algorithm (or a variant of it) for simplicity in the electronic circuitry implementation and fast execution. However, coupling signals from many anodes may cause significant information loss and limit achievable resolution. In this study, a new approach for optimizing readout-electronics design for MAPMTs based on an analysis of information content in the signals is presented. An adaptive read-out scheme to be used with maximum-likelihood estimation methods is proposed. This scheme achieves precision in estimating event parameters that is close to what is achieved by retaining all signals.

Original languageEnglish (US)
Title of host publicationMedical Applications of Radiation Detectors
StatePublished - 2011
EventMedical Applications of Radiation Detectors - San Diego, CA, United States
Duration: Aug 24 2011Aug 25 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherMedical Applications of Radiation Detectors
Country/TerritoryUnited States
CitySan Diego, CA


  • Fisher information
  • Multi-anode photomultiplier tube
  • Readout electronics
  • Scintillation camera

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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