ULTRA-Fast wiener filter based crystal identification algorithm applied to the LabPET&lt;sup&gt;TM&lt;/sup&gt; phoswich detectors

Yousefzadeh, H. Camilia; Viscogliosi, N.; Tetrault, M.-A.; Pépin, C.; Bérard, P.; Bergeron, Mélanie; Semmaoui, H.; Fontaine, R.

doi:10.1109/nssmic.2007.4437320

Cited by 1 publication

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LMS and RLS methods were also proposed for timestamping [10]. These methods, fitting a theoretical or empirical model to the event signal, are not well suited for phoswich detectors since variations in the observed decay time result from multiple Compton scatter hits in different crystals coupled to the same APD [11]. Artifical Neural Network (ANN) approaches were explored to cope with these issues [12].…”

Section: A Timingmentioning

confidence: 99%

“…This problem can be avoided by using small size APDs individually coupled to crystals. Advanced digital signal processing techniques can now be used to provide higher pixelization through CI/ DOI measurement with extremely low decoding error [11][17]- [19], clearly outperforming conventional pulse shape discrimination (PSD) methods which are more sensitive to noise [16].…”

Section: Crystal Identification and Depth Of Interactionmentioning

confidence: 99%

“…Currently, best CI results are achieved with adaptive filtering schemes [11] [18]. Borrowed from command-andcontrol theory and differing mainly by the filter type they use, these approaches model all a priori knowledge of the system (Fig.…”

Section: Crystal Identification and Depth Of Interactionmentioning

confidence: 99%

“…For two crystals with decay times of ~40 ns and ~65 ns, for example, an ultra-fast 1-coefficient model representing the crystal decay time is sufficient to achieve error rates below 1.5%, at the expense of an extra calibration process (Wiener II in Fig. 6) [11]. However, crystals with similar decay time (< 10 ns apart) can be identified more efficiently with the ARX method [18].…”

Section: Crystal Identification and Depth Of Interactionmentioning

confidence: 99%

See 3 more Smart Citations

Roadmap to fully-digital PET/CT scanners

Fontaine

Michaud

Leroux

et al. 2007

2007 IEEE Nuclear Science Symposium Conference Record

Self Cite

View full text Add to dashboard Cite

The ever-increasing needs of molecular imaging now require significant upgrade of conventional PET and CT scanners. Upcoming research protocols ask for low doses, submillimeter resolution, high sensitivity and multimodality. Current scanner technologies are mainly based on analog ASICs having a long design-cycle which hinders rapid scanner improvements and can hardly keep up with the new requirements of biomedical research. With new high-speed processors and configurable electronics, combined with early digitization of the signals from detectors, digital signal processing can flexibly and concurrently deal with many of those requirements. The present paper highlights past, present and foreseen developments in PET/CT signal processing. In particular, different model fits, filtered interpolation and neural networks are compared for timestamping and pulse shape discrimination. Recursive (ARMAX, AR…) and non recursive (Wiener, Fast Fourier transforms, Wavelets…) filtering are compared for crystal identification. Advanced pile-up correction, baseline restoration and energy measurement in photon-counting CT are also discussed. Finally, new techniques dealing with realtime event processing for Compton-scatter LOR computation and alternate random estimation will be briefly introduced. Pros and cons of each method are discussed and the best methods identified for a roadmap to fully digital PET/CT scanning is presented

show abstract

Section: A Timingmentioning

confidence: 99%