SPADnet: A Fully Digital, Networked Approach to MRI Compatible PET Systems Based on Deep-Submicron CMOS Technology

Edoardo Charbon; C Bruschini; C Veerappan; Leo H. C. Braga; Nicola Massari; Matteo Perenzoni; Leonardo Gasparini; David Stoppa; Richard Walker; Ahmet Erdogan; Robert Henderson; Stephen East; Lindsay Grant; B Jatekos; F Ujhelyi; G Erdei; E Lorincz; L Andre; L Maingault; V Reboud; L Verger; E Gros D'aillon; P Major; Z Papp; Gabor Nemeth

doi:10.1109/NSSMIC.2013.6829025

SPADnet: A Fully Digital, Networked Approach to MRI Compatible PET Systems Based on Deep-Submicron CMOS Technology

Edoardo Charbon, C Bruschini, C Veerappan, Leo H. C. Braga, Nicola Massari, Matteo Perenzoni, Leonardo Gasparini, David Stoppa, Richard Walker, Ahmet Erdogan, Robert Henderson, Stephen East, Lindsay Grant, B Jatekos, F Ujhelyi, G Erdei, E Lorincz, L Andre, L Maingault, V ReboudL Verger, E Gros D'aillon, P Major, Z Papp, Gabor Nemeth

School of Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper is the first comprehensive presentation of the SPADnet concept. SPADnet is a fully digital, networked MRI compatible time-of-flight PET system, exploiting the speed and integration density of deep-submicron CMOS technologies. The core enabling technologies of SPADnet are a sensor device comprising an array of 8×16 pixels, each composed of 4 mini-SiPMs with in situ time-to-digital conversion, a multi-ring network to filter, carry, and process data produced by the sensor devices at 2Gbps, and a 130nm CMOS process enabling mass-production of photonic modules that are optically interfaced to scintillator crystals. The SPADnet photonic modules comprise a matrix of tightly packed sensor devices; each module is networked in multiple rings, where coincidence pairs are identified and readily used in reconstruction algorithms, enabling scalable, MRI compatible pre-clinical PET systems for multi-modal imaging.

Original language	English
Number of pages	4
DOIs	https://doi.org/10.1109/NSSMIC.2013.6829025
Publication status	Published - Nov 2013
Event	Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) - Seoul, Korea, Republic of Duration: 27 Oct 2013 → 3 Feb 2014

Conference

Conference	Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Country/Territory	Korea, Republic of
City	Seoul
Period	27/10/13 → 3/02/14

Access to Document

10.1109/NSSMIC.2013.6829025

SPADNET
Henderson, R.
EU government bodies
1/07/10 → 31/12/14
Project: Research

Cite this

Charbon, E., Bruschini, C., Veerappan, C., H. C. Braga, L., Massari, N., Perenzoni, M., Gasparini, L., Stoppa, D., Walker, R., Erdogan, A., Henderson, R., East, S., Grant, L., Jatekos, B., Ujhelyi, F., Erdei, G., Lorincz, E., Andre, L., Maingault, L., ... Nemeth, G. (2013). SPADnet: A Fully Digital, Networked Approach to MRI Compatible PET Systems Based on Deep-Submicron CMOS Technology. Paper presented at Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Seoul, Korea, Republic of. https://doi.org/10.1109/NSSMIC.2013.6829025

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title = "SPADnet: A Fully Digital, Networked Approach to MRI Compatible PET Systems Based on Deep-Submicron CMOS Technology",

abstract = "This paper is the first comprehensive presentation of the SPADnet concept. SPADnet is a fully digital, networked MRI compatible time-of-flight PET system, exploiting the speed and integration density of deep-submicron CMOS technologies. The core enabling technologies of SPADnet are a sensor device comprising an array of 8×16 pixels, each composed of 4 mini-SiPMs with in situ time-to-digital conversion, a multi-ring network to filter, carry, and process data produced by the sensor devices at 2Gbps, and a 130nm CMOS process enabling mass-production of photonic modules that are optically interfaced to scintillator crystals. The SPADnet photonic modules comprise a matrix of tightly packed sensor devices; each module is networked in multiple rings, where coincidence pairs are identified and readily used in reconstruction algorithms, enabling scalable, MRI compatible pre-clinical PET systems for multi-modal imaging.",

author = "Edoardo Charbon and C Bruschini and C Veerappan and {H. C. Braga}, Leo and Nicola Massari and Matteo Perenzoni and Leonardo Gasparini and David Stoppa and Richard Walker and Ahmet Erdogan and Robert Henderson and Stephen East and Lindsay Grant and B Jatekos and F Ujhelyi and G Erdei and E Lorincz and L Andre and L Maingault and V Reboud and L Verger and {Gros D'aillon}, E and P Major and Z Papp and Gabor Nemeth",

year = "2013",

month = nov,

doi = "10.1109/NSSMIC.2013.6829025",

language = "English",

note = "Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) ; Conference date: 27-10-2013 Through 03-02-2014",

}

Charbon, E, Bruschini, C, Veerappan, C, H. C. Braga, L, Massari, N, Perenzoni, M, Gasparini, L, Stoppa, D, Walker, R, Erdogan, A , Henderson, R, East, S, Grant, L, Jatekos, B, Ujhelyi, F, Erdei, G, Lorincz, E, Andre, L, Maingault, L, Reboud, V, Verger, L, Gros D'aillon, E, Major, P, Papp, Z & Nemeth, G 2013, 'SPADnet: A Fully Digital, Networked Approach to MRI Compatible PET Systems Based on Deep-Submicron CMOS Technology', Paper presented at Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Seoul, Korea, Republic of, 27/10/13 - 3/02/14. https://doi.org/10.1109/NSSMIC.2013.6829025

TY - CONF

T1 - SPADnet: A Fully Digital, Networked Approach to MRI Compatible PET Systems Based on Deep-Submicron CMOS Technology

AU - Charbon, Edoardo

AU - Bruschini, C

AU - Veerappan, C

AU - H. C. Braga, Leo

AU - Massari, Nicola

AU - Perenzoni, Matteo

AU - Gasparini, Leonardo

AU - Stoppa, David

AU - Walker, Richard

AU - Erdogan, Ahmet

AU - Henderson, Robert

AU - East, Stephen

AU - Grant, Lindsay

AU - Jatekos, B

AU - Ujhelyi, F

AU - Erdei, G

AU - Lorincz, E

AU - Andre, L

AU - Maingault, L

AU - Reboud, V

AU - Verger, L

AU - Gros D'aillon, E

AU - Major, P

AU - Papp, Z

AU - Nemeth, Gabor

PY - 2013/11

Y1 - 2013/11

N2 - This paper is the first comprehensive presentation of the SPADnet concept. SPADnet is a fully digital, networked MRI compatible time-of-flight PET system, exploiting the speed and integration density of deep-submicron CMOS technologies. The core enabling technologies of SPADnet are a sensor device comprising an array of 8×16 pixels, each composed of 4 mini-SiPMs with in situ time-to-digital conversion, a multi-ring network to filter, carry, and process data produced by the sensor devices at 2Gbps, and a 130nm CMOS process enabling mass-production of photonic modules that are optically interfaced to scintillator crystals. The SPADnet photonic modules comprise a matrix of tightly packed sensor devices; each module is networked in multiple rings, where coincidence pairs are identified and readily used in reconstruction algorithms, enabling scalable, MRI compatible pre-clinical PET systems for multi-modal imaging.

AB - This paper is the first comprehensive presentation of the SPADnet concept. SPADnet is a fully digital, networked MRI compatible time-of-flight PET system, exploiting the speed and integration density of deep-submicron CMOS technologies. The core enabling technologies of SPADnet are a sensor device comprising an array of 8×16 pixels, each composed of 4 mini-SiPMs with in situ time-to-digital conversion, a multi-ring network to filter, carry, and process data produced by the sensor devices at 2Gbps, and a 130nm CMOS process enabling mass-production of photonic modules that are optically interfaced to scintillator crystals. The SPADnet photonic modules comprise a matrix of tightly packed sensor devices; each module is networked in multiple rings, where coincidence pairs are identified and readily used in reconstruction algorithms, enabling scalable, MRI compatible pre-clinical PET systems for multi-modal imaging.

U2 - 10.1109/NSSMIC.2013.6829025

DO - 10.1109/NSSMIC.2013.6829025

M3 - Paper

T2 - Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

Y2 - 27 October 2013 through 3 February 2014

ER -

SPADnet: A Fully Digital, Networked Approach to MRI Compatible PET Systems Based on Deep-Submicron CMOS Technology

Abstract

Conference

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SPADNET

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