Super-Resolution in Respiratory Synchronized Positron Emission Tomography

Wallach, Daphné and Lamare, Frédéric and Kontaxakis Antoniadis, Georgios and Visvikis, Dimitris (2012). Super-Resolution in Respiratory Synchronized Positron Emission Tomography. "IEEE transactions on medical imaging", v. 31 (n. 2); pp. 438-448. ISSN 0278-0062.


Title: Super-Resolution in Respiratory Synchronized Positron Emission Tomography
  • Wallach, Daphné
  • Lamare, Frédéric
  • Kontaxakis Antoniadis, Georgios
  • Visvikis, Dimitris
Item Type: Article
Título de Revista/Publicación: IEEE transactions on medical imaging
Date: February 2012
Volume: 31
Freetext Keywords: four-dimensional (4-D), positron emission tomography, respiratory motion, super-resolution
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Respiratory motion is a major source of reduced quality in positron emission tomography (PET). In order to minimize its effects, the use of respiratory synchronized acquisitions, leading to gated frames, has been suggested. Such frames, however, are of low signal-to-noise ratio (SNR) as they contain reduced statistics. Super-resolution (SR) techniques make use of the motion in a sequence of images in order to improve their quality. They aim at enhancing a low-resolution image belonging to a sequence of images representing different views of the same scene. In this work, a maximum a posteriori (MAP) super-resolution algorithm has been implemented and applied to respiratory gated PET images for motion compensation. An edge preserving Huber regularization term was used to ensure convergence. Motion fields were recovered using a B-spline based elastic registration algorithm. The performance of the SR algorithm was evaluated through the use of both simulated and clinical datasets by assessing image SNR, as well as the contrast, position and extent of the different lesions. Results were compared to summing the registered synchronized frames on both simulated and clinical datasets. The super-resolution image had higher SNR (by a factor of over 4 on average) and lesion contrast (by a factor of 2) than the single respiratory synchronized frame using the same reconstruction matrix size. In comparison to the motion corrected or the motion free images a similar SNR was obtained, while improvements of up to 20% in the recovered lesion size and contrast were measured. Finally, the recovered lesion locations on the SR images were systematically closer to the true simulated lesion positions. These observations concerning the SNR, lesion contrast and size were confirmed on two clinical datasets included in the study. In conclusion, the use of SR techniques applied to respiratory motion synchronized images lead to motion compensation combined with improved image SNR and contrast, without any increase in the overall acquisition times.

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Item ID: 16016
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Deposited by: Memoria Investigacion
Deposited on: 26 Jun 2013 17:33
Last Modified: 21 Apr 2016 16:22
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