title: Improving PET spatial resolution and detectability for prostate cancer imaging.
abstract: Prostate cancer, one of the most common forms of cancer among men, can benefit from recent improvements in positron emission tomography (PET) technology. In particular, better spatial resolution, lower noise and higher detectability of small lesions could be greatly beneficial for early diagnosis and could provide a strong support for guiding biopsy and surgery. In this article, the impact of improved PET instrumentation with superior spatial resolution and high sensitivity are discussed, together with the latest development in PET technology: resolution recovery and time-of-flight reconstruction. Using simulated cancer lesions, inserted in clinical PET images obtained with conventional protocols, we show that visual identification of the lesions and detectability via numerical observers can already be improved using state of the art PET reconstruction methods. This was achieved using both resolution recovery and time-of-flight reconstruction, and a high resolution image with 2 mm pixel size. Channelized Hotelling numerical observers showed an increase in the area under the LROC curve from 0.52 to 0.58. In addition, a relationship between the simulated input activity and the area under the LROC curve showed that the minimum detectable activity was reduced by more than 23%.
authors: Siemens Healthcare Molecular Imaging, Knoxville TN, USA.
authors: H
authors: H
authors: Bal
authors: L
authors: L
authors: Guerin
authors: M E
authors: ME
authors: Casey
authors: M
authors: M
authors: Conti
authors: L
authors: L
authors: Eriksson
authors: C
authors: C
authors: Michel
authors: S
authors: S
authors: Fanti
authors: C
authors: C
authors: Pettinato
authors: S
authors: S
authors: Adler
authors: P
authors: P
authors: Choyke
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D057230:Limit of Detection; D008297:Male; D049268:Positron-Emission Tomography / Q000379:methods*; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging*