The Donner 280-Crystal High Resolution Positron Tomograph

Derenzo, Stephen E.; Budinger, Thomas F.; Cahoon, J.L.; Greenberg, William L.; Huesman, R.H.; Vuletich, T.

doi:10.1109/tns.1979.4330537

Cited by 49 publications

(6 citation statements)

References 3 publications

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“…Half of the phan tom was fabricated to resemble a human brain in cross section, the other half consisted of a standard Derenzo [7] phantom with sections containing various size holes at specific center to center spacing. The phantom was im aged first in the PETT VI camera at Brookhaven National Lab using 18F with a 10° axial rotation approximately.…”

Section: Resultsmentioning

confidence: 99%

Iterative principal axes registration: A new algorithm for retrospective correlation of MR-PET brain images

Arata

Dhawan

1992

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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A bstract-Registration of Magnetic Resonance (MR) and Positron Emission Tomographic (PET ) images is a crucial step in multi-modality brain image analysis.We have developed a technique which we call iterative principal axes registration (IPAR) . Using this method, partial volumes of PET images can be accurately regis tered with complete MR scans. We will present qual itative and quantitative results of the new method.These results show that IP AR is accurate and practi cal as a registration method for MR-PET correlation studies.

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Section: Resultsmentioning

confidence: 99%

Iterative principal axes registration: A new algorithm for retrospective correlation of MR-PET brain images

Arata

Dhawan

1992

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…A hot spot or Derenzo phantom [3] was imaged at the center and at a 20-cm tangential offset in the FOV. The orientation of the phantom was such that the lines in phantom were perpendicular to the axis of the tomograph.…”

Section: Derenzo Phantommentioning

confidence: 99%

Evaluation of coincidence plane definitions for improved volume resolution uniformity in PET

Dahlbom

2001

IEEE Trans. Nucl. Sci.

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A new scheme for defining coincidence planes in positron emission tomography (PET) with the aim of improving the overall uniformity in volumetric spatial resolution has been investigated. The axial resolution in high-resolution PET systems rapidly degrades at off-center positions, in particular in tangential direction. This resolution loss is caused by the addition of coincidence planes with relatively large ring differences to form a single detection plane. In this paper, a different way of defining coincidence planes is evaluated to improve the overall spatial uniformity. This method only assigns coincidence combinations that fall within a specified slice thickness to contribute to a specific plane. The method produces overlapping axial planes, which allows a particular coincidence plane combination to contribute to several axial planes.Measurements of a point source at the center and at 20 cm off-center position showed a degradation in resolution from 4.6 to 12.4 mm full width at half-maximum (FWHM), tangentially using the conventional plane definition (max ring difference of eight). Using the new plane definition scheme (max ring difference of four), the resolution only degraded from 8.6 to 9.7 mm FWHM. This method should provide an improved resolution uniformity and image quality in particular for whole body PET.Index Terms-Data handling, image processing, positron emission tomography (PET).

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“…The UFTPP prototype was connected to a host DEC PDP-11!34 computer at the Donner Laboratory (part of the Lawerence Berkeley Laboratory). and integrated into the data acquisition and reconstruction system [40] for the Donner 280-crystal Position Emission Tomograph [25]. The processor clock speed was set at 2.5 MHz.…”

Section: Implementation Costsmentioning

confidence: 99%

Ultrafast Fourier-transform parallel processor

Greenberg¹

1980

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The Donner 280-Crystal High Resolution Positron Tomograph

Cited by 49 publications

References 3 publications

Iterative principal axes registration: A new algorithm for retrospective correlation of MR-PET brain images

Iterative principal axes registration: A new algorithm for retrospective correlation of MR-PET brain images

Evaluation of coincidence plane definitions for improved volume resolution uniformity in PET

Ultrafast Fourier-transform parallel processor

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