How does Philips Digital Photon Counting technology work?
2017-18 ServiceTrak™ Award
Philips has been recognized by IMV as the 2017-2018 category winner for Best Service in PET Imaging. IMV, part of the Science and Medicine Group, is the leading market research provider to the imaging industry and surveys from a randomized database of US hospitals and imaging centers. This award acknowledges the combined performance of an exceptional Philips service delivery team and service innovation by design within Philips PET CT products. With customizable maintenance and performance services, Philips works as a trusted service provider to help our customers get the most from their PET CT imaging systems and to meet the challenges of today’s demanding healthcare environment. Together, we can create a healthier future.
Specifications
- Scanner Characteristics
-
Scanner Characteristics Gantry with table dimensions - Length 190.9”
- Width 86.7”
- Height 81.3”
Weight - 9,284 lb
-
- Key specifications
-
Key specifications Detector design - Digital Photon Counting (DPC)
Number of PET detectors - 23,040
PET timing resolution - 310 ps FWHM
TOF localization accuracy - 4.6 cm
PET effective sensitivity per cm - 1,427 cps/MBq/cm
PET quantitative accuracy - +/- 5%
-
- Scanner Characteristics
-
Scanner Characteristics Gantry with table dimensions - Length 190.9”
- Width 86.7”
- Height 81.3”
Weight - 9,284 lb
-
- Key specifications
-
Key specifications Detector design - Digital Photon Counting (DPC)
Number of PET detectors - 23,040
-
- Scanner Characteristics
-
Scanner Characteristics Gantry with table dimensions - Length 190.9”
- Width 86.7”
- Height 81.3”
Weight - 9,284 lb
-
- Key specifications
-
Key specifications Detector design - Digital Photon Counting (DPC)
Number of PET detectors - 23,040
PET timing resolution - 310 ps FWHM
TOF localization accuracy - 4.6 cm
PET effective sensitivity per cm - 1,427 cps/MBq/cm
PET quantitative accuracy - +/- 5%
-
Related products
Alternative products
-
O-MAR
- O-MAR improves image quality
- Fast and efficient images
- O-MAR improves contouring and patient marking workflow
View product
-
iPatient
- Personalize your control
- Consistency in diverse populations
- Scan to scan consistency
- Built to speed up implementation of new innovations.
View product
-
iDose⁴
- Premium image quality
- Noise reduction and artifact prevention
- Natural appearance of images
- Results available in seconds
View product
-
O-MAR
O-MAR helps to improve visualization of anatomy by reducing artifacts related to beam hardening, photon starvation and streaking caused by metal inside the body.
View product
-
iPatient
Envision personalized, patient-centric imaging with you in control of important advances in dose management and workflow, designed to make every day more productive. The Philips iPatient software helps you do all of this, and more.
View product
-
iDose⁴
iDose⁴ is an innovative solution that helps you personalize image quality based on your patients’ needs at low dose. When used in combination with the advanced technologies of the iCT, Ingenuity, and Brilliance scanner families, this provides a unique approach to managing important factors in patient care – low energy, low dose, and low injected contrast imaging.
View product
- [1] Hussain T, Nguyen QT. Molecular Imaging for Cancer Diagnosis and Surgery. Advanced drug delivery reviews. 2014;66:90-100. doi:10.1016/j.addr.2013.09.007.
- [2] Nguyen NC, Image Quality and Diagnostic Performance of a Digital PET Prototype in Patients with Oncologic Diseases: Initial Experience and Comparison with Analog PET, J Nucl Med 2015; 56:1378–1385
- [3] Knopp,M, Binzel,K, Bardos,P, Knopp,M, Wright,C, Zhang,J, Nagar,V, Hall,N, Maniawski,P, Next Generation Digital PET/CT: A Phase I Intra-Individual Comparison with Current Photomultiplier TOF PET/CT. Radiological Society of North America 2015 Scientific Assembly and Annual Meeting, November 29 - December 4, 2015, Chicago IL.
- [4] Zhang J., Evaluation of speed of PET acquisition: How fast can we go? - A validation of list mode PET simulation approach with true acquisitions, SNMMI 2017
