Efficient system modeling for a small animal PET scanner with tapered DOI detectors

Mengxi Zhang, Jian Zhou, Yongfeng Yang, Mercedes Rodríguez-Villafuerte, Jinyi Qi

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


A prototype small animal positron emission tomography (PET) scanner for mouse brain imaging has been developed at UC Davis. The new scanner uses tapered detector arrays with depth of interaction (DOI) measurement. In this paper, we present an efficient system model for the tapered PET scanner using matrix factorization and a virtual scanner geometry. The factored system matrix mainly consists of two components: a sinogram blurring matrix and a geometrical matrix. The geometric matrix is based on a virtual scanner geometry. The sinogram blurring matrix is estimated by matrix factorization. We investigate the performance of different virtual scanner geometries. Both simulation study and real data experiments are performed in the fully 3D mode to study the image quality under different system models. The results indicate that the proposed matrix factorization can maintain image quality while substantially reduce the image reconstruction time and system matrix storage cost. The proposed method can be also applied to other PET scanners with DOI measurement.

Original languageEnglish (US)
Pages (from-to)461-474
Number of pages14
JournalPhysics in Medicine and Biology
Issue number2
StatePublished - Dec 18 2015


  • image reconstruction
  • positron emission tomography
  • system modeling

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology


Dive into the research topics of 'Efficient system modeling for a small animal PET scanner with tapered DOI detectors'. Together they form a unique fingerprint.

Cite this