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Analysis of institutional authors

Sandoval, FEditorAliaga, RjAuthorPrieto, AEditorMartínez, JdAuthorMonzó, JmAuthorGadea, RAuthor

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Proceedings Paper

Incidence position estimation in a PET detector using a discretized positioning circuit and neural networks

Publicated to:Lecture Notes In Computer Science. 4507 684-+ - 2007-01-01 4507(), DOI: 10.1007/978-3-540-73007-1_82

Authors: Pavon, N

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- Author
Univ Politecn Valencia, Dept Ingn Elect - Author

Abstract

The correct determination of the position of incident photons is a crucial issue in PET imaging. In this paper we study the use of Neural Networks (NNs) for position estimation of photons impinging on gamma-ray detector modules for PET cameras based on continuous scintillators and Multi-Anode Photomultiplier Tubes (MA-PMTs). We have performed a thorough analysis of the NN architecture and training procedures, using realistic simulated inputs, in order to achieve the best results in terms of spatial resolution and bias correction. The results confirm that NNs can partially model and correct the non-uniform detector response using only the position-weighted signals from a simple 2D Discretized Positioning Circuit (DPC). Linearity degradation for oblique incidence is also investigated. Finally, the NN can be implemented in hardware for parallel real time corrected Line-of-Response (LOR) estimation.

Keywords

Anger logicContinuous scintillatorDiscretized positioning circuit (dpc)Gamma cameraMulti-layer perceptron (mlp)Neural networksPhotomultiplier tube (pmt)Positron emission tomography (pet)Positron emission tomography (pet).

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-06-28:

  • WoS: 2
  • Scopus: 2

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-28:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Sandoval Gómez, Francisco) and Last Author (Gadea Gironés, Rafael).

the author responsible for correspondence tasks has been Mateo, F.