2026-07-23T23:02:15Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/131712024-09-27T10:16:00Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19607
Repisalud
author
Lopez-Montes, Alejandro
author
Galve, Pablo
author
Udias, Jose Manuel
author
Cal-Gonzalez, Jacobo
author
Vaquero, Juan Jose
author
Desco, Manuel
author
Herraiz, Joaquin L
funder
Complutense University of Madrid (España)
funder
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
funder
Government of Spain
funder
Comunidad de Madrid (España)
funder
Medinet
funder
Ministerio de Ciencia, Innovación y Universidades (España)
funder
Fundación ProCNIC
2021-06-22T07:00:56Z
2021-06-22T07:00:56Z
2020-02
Appl Sci. 2020; 10(8):18
10.3390/app10082829
2076-3417
Applied Sciences
http://hdl.handle.net/20.500.12105/13171
Real-time positron emission tomography (PET) may provide information from first-shot images, enable PET-guided biopsies, and allow awake animal studies. Fully-3D iterative reconstructions yield the best images in PET, but they are too slow for real-time imaging. Analytical methods such as Fourier back projection (FBP) are very fast, but yield images of poor quality with artifacts due to noise or data incompleteness. In this work, an image reconstruction based on the pseudoinverse of the system response matrix (SRM) is presented. w. To implement the pseudoinverse method, the reconstruction problem is separated into two stages. First, the axial part of the SRM is pseudo-inverted (PINV) to rebin the 3D data into 2D datasets. Then, the resulting 2D slices can be reconstructed with analytical methods or by applying the pseudoinverse algorithm again. The proposed two-step PINV reconstruction yielded good-quality images at a rate of several frames per second, compatible with real time applications. Furthermore, extremely fast direct PINV reconstruction of projections of the 3D image collapsed along specific directions can be implemented.
eng
Real-Time 3D PET Image with Pseudoinverse Reconstruction
journal article
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URL
https://repisalud.isciii.es/bitstreams/b0f61bf5-a327-4156-b162-6a1113ca6e01/download
File
MD5
93824d4c93d595ddd22eba45302701ef
2399929
application/pdf
RealTime3DPET_2020.pdf
URL
https://repisalud.isciii.es/bitstreams/0122aac2-b120-418a-811d-bd975d348bbd/download
File
MD5
8b24ccc405cfcfba16056315064ea083
69115
text/plain
RealTime3DPET_2020.pdf.txt