4D-Pet data sorting into different number of phases: A Nema IQ phantom study

Pietro Mancosu, Roberto Sghedoni, Valentino Bettinardi, Federica Fioroni, Mark A. Aquilina, Elisa Grassi, Ferruccio Fazio, Giovanni Borasi, Maria C. Gilardi

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to evaluate the dependence of 4D-PET data sorting on the number of phases in which the respiratory cycle can be divided. The issue is to find the best compromise to reduce the conflicting effects induced by increasing the number of phases: lesion motion on each set of images decreases, but on the other hand im- age noise increases. The IQ NEMA 2001 IEC body phantom was used to simulate the movement of neoplastic lesions in the thorax and abdomen, investigating the effect of: target size (10 37 mm), lesion-to-background activity concentration ratio (4:1 and 8:1), total acquisition time (3, 6, 12, 20 min), and number of phase parti- tions (1, 2, 4, 6, 8, 10, 13). The phantom was moved in a cranial-caudal direction with an excursion of 25 mm and a period of 4.0 sec. Five parameters associated to lesion volume and activity concentration were considered to assess the capa- bility of the 4D-PET technique to " freeze" the phantom motion. The results for all the parameters showed the capability of the 4D-PET acquisition technique to " freeze" the lesion motion. The division into six phases was found to be the best compromise between temporal resolution and image noise for the phase where the " lesions" move faster; whereas the partition into four phases could be used if a stable breathing phase is considered.

Original languageEnglish
Pages (from-to)220-231
Number of pages12
JournalJournal of Applied Clinical Medical Physics
Volume10
Issue number4
Publication statusPublished - 2009

Keywords

  • 4D-Pet
  • Breathing inducing motion
  • Image quality
  • Motion compensation
  • Positron emission tomography

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiation
  • Instrumentation

Fingerprint

Dive into the research topics of '4D-Pet data sorting into different number of phases: A Nema IQ phantom study'. Together they form a unique fingerprint.

Cite this