Depth encoding of point-of-interaction in thick scintillation cameras

Tomitani, Takehiro; Futami, Yasuyuki; Izeki, Y.; Kouda, S.; Nishio, Tomoyuki; Murakami, T.; Kitagawa, A.; Kanazawa, Masanori; Urakabe, E.; Shinbo, M.; Kanai, T.

doi:10.1109/nssmic.1999.842770

Cited by 15 publications

(10 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To compute the position of the impinging photon one can use centroid based methods [11] or iterative maximum likelihood algorithms [12]. The former usually suffers from systematic errors while the latter requires too much processing power for on-line computation of the coordinates.…”

Section: B Lso Block Detectormentioning

confidence: 99%

Study of spatial resolution and depth of interaction of APD-based PET detector modules using light sharing schemes

Bruyndonckx

Léonard

Liu

et al. 2003

IEEE Trans. Nucl. Sci.

View full text Add to dashboard Cite

Using 4 8 Hamamatsu S8550 APD matrices with 1.6 mM 1.6 mm pixels and a 2.3 mm pitch, we compared the spatial resolution of light sharing schemes using block detectors to detector modules using 1-to-1 coupling between individual 2 mm 2 mm 10 mm LSO crystals and APD pixels. In addition, depth of interaction (DOI) measurement capabilities of the block detector were studied.Using neural network methods to determine the interaction position in a 10 mm thick LSO block, we achieved an intrinsic spatial resolution of 1.5 mm FWHM compared to 2.06 mm for individual readout. The DOI resolution varied between 1.8 and 3.0 mm FWHM.Index Terms-Block detectors, neural network, positron emission tomography (PET).

show abstract

Section: B Lso Block Detectormentioning

confidence: 99%

Study of spatial resolution and depth of interaction of APD-based PET detector modules using light sharing schemes

Bruyndonckx

Léonard

Liu

et al. 2003

IEEE Trans. Nucl. Sci.

View full text Add to dashboard Cite

show abstract

“…20B). Because only the single crystal slab is used, manufacturing costs are lower than approaches that use discrete crystals [70,71]. Although simple centroid positioning algorithms (e.g., Anger logic) have limited performances in terms of intrinsic spatial resolution, positional linearity, and effective FOV, they could be improved by using statistical estimation algorithms (e.g., the maximum likelihood estimation) [72].…”

Section: Continuous Doi Encodingmentioning

confidence: 99%

Technical Advances in Current PET and Hybrid Imaging Systems

Lee¹

2010

TONMEDJ

View full text Add to dashboard Cite

Abstract:The continuing efforts of investigators to achieve the best physical and clinical performances from PET (positron emission tomography) and related hybrid cameras (PET/CT and PET/MRI) have led to remarkable technical advances in hardware and software.Time of flight (TOF) information measurement, which has been enabled thanks to the invention of fast, heavy crystals and advances in fast light detection sensors and readout electronics, is used to obtain the PET images of better quality and lesion-detection performance. Statistical reconstruction with resolution recovery and measurements of depth of interaction (DOI) are the useful software-and hardware-wise approaches for enhancing the spatial resolution of reconstructed PET images. These technical advances along with an expansive increase in the number of PET and PET/CT examinations performed are facilitating the widespread use of PET scanners with specific detector structures and arrangements for particular applications or organs. Combined multimodal imaging systems are also in the development mainstream of these PET systems.In this paper, these important technologies (TOF measurements, statistical reconstruction with resolution recovery, DOI detectors, and application-specific PET cameras) that have made major contributions to advances in state-of-the-art clinical and preclinical PET and hybrid systems are reviewed.

show abstract

“…Another approach is to use a physical model for light propagation with several free Hunter et al Page 3 parameters. Alternatively, since η(R, Θ) should vary smoothly with R, we may choose Θ as the set of parameters for an analytic form (e.g., see [10]). …”

Section: Parametric Representation Of η(R θ)mentioning

confidence: 99%

Method of calibrating response statistics for ML estimation of 3D interaction position in a thick-detector gamma camera

Barrett

Furenlid

Moore

2007

2007 IEEE Nuclear Science Symposium Conference Record

View full text Add to dashboard Cite

High-energy photon detectors are often made thick in order to improve their photon-detection efficiency. To avoid issues of parallax and increased signal variance that result from random interaction depth, we must determine the 3D interaction position in the imaging detector. With this goal in mind, we examine a method of calibrating response statistics of a thick-detector gamma camera to produce a maximum-likelihood estimate of 3D interaction position. We parameterize the mean detector response as a function of 3D position and estimate the parameters by maximizing their likelihood given prior knowledge of the pathlength distribution and a complete list of camera signals for an ensemble of gamma-ray interactions. Demonstrating this calibration method with simulated gamma-camera data, we show that the resulting calibration is accurate and can be used to produce unbiased estimates of 3D interaction position.

show abstract

Depth encoding of point-of-interaction in thick scintillation cameras

Cited by 15 publications

References 12 publications

Study of spatial resolution and depth of interaction of APD-based PET detector modules using light sharing schemes

Study of spatial resolution and depth of interaction of APD-based PET detector modules using light sharing schemes

Technical Advances in Current PET and Hybrid Imaging Systems

Method of calibrating response statistics for ML estimation of 3D interaction position in a thick-detector gamma camera

Contact Info

Product

Resources

About