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Publisher: IoP Publishing

Issued date: 2008-09

Citation: Physics in Medicine and Biology, sep. 2008, vol. 53, n. 17, p. 4683-4695

ISSN: 0031-9155 Print1361-6560 Online

DOI: 10.1088-0031-9155-53-17-015

Sponsor: This project was supported by the CENIT Programme Ministerio de Industria, CIBER CB07-09-0031 Ministerio de Sanidad y Consumo and TEC2007-64731-TCM Ministerio de Educación y Ciencia

Publisher version: http:-dx.doi.org-10.1088-0031-9155-53-17-015

Rights: Atribución-NoComercial-SinDerivadas 3.0 España

Abstract:We propose a retrospective respiratory gating algorithm to generate dynamic CT studies. To this end, we compared three different methods of extracting the respiratory signal from the projections of small-animal cone-beam computedtomography CBCT scanners. GWe propose a retrospective respiratory gating algorithm to generate dynamic CT studies. To this end, we compared three different methods of extracting the respiratory signal from the projections of small-animal cone-beam computedtomography CBCT scanners. Given a set of frames acquired from a certain axial angle, subtraction of their average image from each individual frame produces a set of difference images. Pixels in these images have positive or negative values according to the respiratory phase in those areas where there is lung movement. The respiratory signals were extracted by analysing the shape of the histogram of these difference images: we calculated the first four central and non-central moments. However, only odd-order moments produced the desired breathing signal, as the even-order moments lacked information about the phase. Each of these curves was compared to a reference signal recorded by means of a pneumatic pillow. Given the similar correlation coefficients yielded by all of them, we selected the mean to implement our retrospective protocol. Respiratory phase bins were separated, reconstructed independently and included in a dynamic sequence, suitable for cine playback. We validated our method in five adult rat studies by comparing profiles drawn across the diaphragm dome, with and without retrospective respiratory gating. Resultsshowed a sharper transition in the gated reconstruction, with an average slopeimprovement of 60.7%+-





Author: Chavarrías, Cristina; Vaquero, Juan José; Sisniega, Alejandro; Rodríguez-Ruano, A.; Soto-Montenegro, M. L.; García-Barreno, P.; Desco, Manuel

Source: http://e-archivo.uc3m.es


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Universidad Carlos III de Madrid Repositorio institucional e-Archivo http:--e-archivo.uc3m.es Área de Imagen e Instrumentación (BiiG) DBIAB - BIIG - Journal Articles 2008-09 Extraction of the respiratory signal from small-animal CT projections for a retrospective gating method Chavarrías, Cristina IoP Publishing Physics in Medicine and Biology, sep.
2008, vol.
53, n.
17, p.
4683-4695 http:--hdl.handle.net-10016-12018 Descargado de e-Archivo, repositorio institucional de la Universidad Carlos III de Madrid Extraction of the respiratory signal from small-animal CT projections for a retrospective gating method C Chavarrı́as, J J Vaquero, A Sisniega, A Rodrı́guez-Ruano, M L Soto-Montenegro, P Garcı́a-Barreno and M Desco Unidad de Medicina y Cirugı́a Experimental, Hospital General Universitario Gregorio Marañón, Anexo Psiquiatrı́a, 1 Planta.
C- Ibiza, 43.
Madrid 28007, Spain Abstract We propose a retrospective respiratory gating algorithm to generate dynamic CT studies.
To this end, we compared three different methods of extracting the respiratory signal from the projections of small-animal cone-beam computed tomography (CBCT) scanners.
Given a set of frames acquired from a certain axial angle, subtraction of their average image from each individual frame produces a set of difference images.
Pixels in these images have positive or negative values (according to the respiratory phase) in those areas where there is lung movement.
The respiratory signals were extracted by analysing the shape of the histogram of these difference images: we calculated the first four central and non-central moments.
However, only odd-order moments produced the desired breathing signal, as the even-order moments lacked information about the phase.
Each of these curves was compared to a reference signal recorded by means of a pneumatic pillow.
Given the similar correlation coefficients yielded by all of them, we selected the mean to implement our retrospective protocol.
R...





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