A multiscale/sparse representation for diffusion weighted imaging (DWI) super-resolution

Jonathan Tarquino; Andrea Rueda; Eduardo Romero

doi:10.1109/isbi.2014.6868037

A multiscale/sparse representation for diffusion weighted imaging (DWI) super-resolution

Jonathan Tarquino, Andrea Rueda, Eduardo Romero

Departamento de Ingeniería de Sistemas

Universidad Nacional de Colombia

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

Spatial resolution of Diffusion Weighted (DW) images is currently limited by diverse considerations. This situation introduces a series of artifacts, such as the partial volume effect (PVE), that therefore affect the sensitivity of DW imaging analysis. In this paper, a new multiscale/sparse super-resolution method increases the spatial resolution of the DW images. Based on the redundancy presented in this kind of images, the proposed method uses local information and the multiscale shearlet transformation to closely approach the DW image acquisition process. A comparison of this proposal with a classical image interpolation method demonstrates an improvement of 2.27 dB in the PSNR measure and 1.67% in the SSIM metric.

Idioma original	Inglés
Título de la publicación alojada	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	983-986
Número de páginas	4
ISBN (versión digital)	9781467319591
DOI	https://doi.org/10.1109/isbi.2014.6868037
Estado	Publicada - 29 jul. 2014
Evento	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China Duración: 29 abr. 2014 → 02 may. 2014

Serie de la publicación

Nombre	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Conferencia

Conferencia	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
País/Territorio	China
Ciudad	Beijing
Período	29/04/14 → 02/05/14

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10.1109/isbi.2014.6868037

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Tarquino, J., Rueda, A., & Romero, E. (2014). A multiscale/sparse representation for diffusion weighted imaging (DWI) super-resolution. En 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 983-986). Artículo 6868037 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/isbi.2014.6868037

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abstract = "Spatial resolution of Diffusion Weighted (DW) images is currently limited by diverse considerations. This situation introduces a series of artifacts, such as the partial volume effect (PVE), that therefore affect the sensitivity of DW imaging analysis. In this paper, a new multiscale/sparse super-resolution method increases the spatial resolution of the DW images. Based on the redundancy presented in this kind of images, the proposed method uses local information and the multiscale shearlet transformation to closely approach the DW image acquisition process. A comparison of this proposal with a classical image interpolation method demonstrates an improvement of 2.27 dB in the PSNR measure and 1.67% in the SSIM metric.",

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Tarquino, J, Rueda, A & Romero, E 2014, A multiscale/sparse representation for diffusion weighted imaging (DWI) super-resolution. En 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6868037, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 983-986, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, China, 29/04/14. https://doi.org/10.1109/isbi.2014.6868037

A multiscale/sparse representation for diffusion weighted imaging (DWI) super-resolution. / Tarquino, Jonathan; Rueda, Andrea; Romero, Eduardo.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 983-986 6868037 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - A multiscale/sparse representation for diffusion weighted imaging (DWI) super-resolution

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AU - Rueda, Andrea

AU - Romero, Eduardo

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N2 - Spatial resolution of Diffusion Weighted (DW) images is currently limited by diverse considerations. This situation introduces a series of artifacts, such as the partial volume effect (PVE), that therefore affect the sensitivity of DW imaging analysis. In this paper, a new multiscale/sparse super-resolution method increases the spatial resolution of the DW images. Based on the redundancy presented in this kind of images, the proposed method uses local information and the multiscale shearlet transformation to closely approach the DW image acquisition process. A comparison of this proposal with a classical image interpolation method demonstrates an improvement of 2.27 dB in the PSNR measure and 1.67% in the SSIM metric.

AB - Spatial resolution of Diffusion Weighted (DW) images is currently limited by diverse considerations. This situation introduces a series of artifacts, such as the partial volume effect (PVE), that therefore affect the sensitivity of DW imaging analysis. In this paper, a new multiscale/sparse super-resolution method increases the spatial resolution of the DW images. Based on the redundancy presented in this kind of images, the proposed method uses local information and the multiscale shearlet transformation to closely approach the DW image acquisition process. A comparison of this proposal with a classical image interpolation method demonstrates an improvement of 2.27 dB in the PSNR measure and 1.67% in the SSIM metric.

KW - Information redundancy

KW - Shearlet transform

KW - Sparse representation

KW - Super-resolution

KW - Tensor representation

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Tarquino J, Rueda A, Romero E. A multiscale/sparse representation for diffusion weighted imaging (DWI) super-resolution. En 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 983-986. 6868037. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). doi: 10.1109/isbi.2014.6868037

A multiscale/sparse representation for diffusion weighted imaging (DWI) super-resolution

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