High-resolution adaptive PET imaging.

Jian Zhou, Jinyi Qi

Research output: Contribution to journalArticle

Abstract

While the performance of small animal PET systems has been improved impressively in terms of spatial resolution and sensitivity, demands for further improvements remain high with growing number of applications. Here we propose a novel PET system design that integrates a high-resolution detector into an existing PET system to obtain higher-resolution images in a target region. The high-resolution detector will be adaptively positioned based on the detectability or quantitative accuracy of a feature of interest. The proposed system will be particularly effective for studying human cancers using animal models where tumors are often grown near the skin surface and therefore permit close contact with the high resolution detector. It will also be useful for the high-resolution brain imaging in rodents. In this paper, we present the theoretical analysis and Monte Carlo simulation studies of the performance of the proposed system.

Original languageEnglish (US)
Pages (from-to)26-37
Number of pages12
JournalInformation processing in medical imaging : proceedings of the ... conference
Volume21
StatePublished - 2009

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ASJC Scopus subject areas

  • Medicine(all)

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