Estimation of subject coregistration errors during multimodal preclinical imaging using separate instruments: origins and avoidance of artifacts

Jean-Philippe Dillenseger; Christian Goetz; Amira Sayeh; Chris Healy; Isabelle Duluc; Jean-Noël Freund; André Constantinesco; Gaëlle Aubertin-Kirch; Philippe Choquet

doi:10.1117/1.JMI.4.3.035503

22 August 2017 Estimation of subject coregistration errors during multimodal preclinical imaging using separate instruments: origins and avoidance of artifacts

Jean-Philippe Dillenseger, Christian Goetz, Amira Sayeh, Chris Healy, Isabelle Duluc, Jean-Noël Freund, André Constantinesco, Gaëlle Aubertin-Kirch, Philippe Choquet

Author Affiliations +

Journal of Medical Imaging, Vol. 4, Issue 3, 035503 (August 2017). https://doi.org/10.1117/1.JMI.4.3.035503

Abstract

We use high-resolution μCT data in multiple experiments to estimate the sources of error during coregistration of images acquired on separate preclinical instruments. In combination with experiments with phantoms, we completed in vivo imaging on mice, aimed at identifying the possible sources of registration errors, caused either by transport of the animal, movement of the animal itself, or methods of coregistration. The same imaging cell was used as a holder for phantoms and animals. For all procedures, rigid coregistration was carried out using a common landmark coregistration system, placed inside the imaging cell. We used the fiducial registration error and the target registration error to analyze the coregistration accuracy. We found that moving an imaging cell between two preclinical devices during a multimodal procedure gives an error of about 200 μm at most. Therefore, it could not be considered a source of coregistration errors. Errors linked to spontaneous movements of the animal increased with time, to nearly 1 mm at most, excepted for body parts that were properly restrained. This work highlights the importance of animal intrinsic movements during a multiacquisition procedure and demonstrates a simple method to identify and quantify the sources of error during coregistration.

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Jean-Philippe Dillenseger, Christian Goetz, Amira Sayeh, Chris Healy, Isabelle Duluc, Jean-Noël Freund, André Constantinesco, Gaëlle Aubertin-Kirch, and Philippe Choquet "Estimation of subject coregistration errors during multimodal preclinical imaging using separate instruments: origins and avoidance of artifacts," Journal of Medical Imaging 4(3), 035503 (22 August 2017). https://doi.org/10.1117/1.JMI.4.3.035503

Received: 27 April 2017; Accepted: 24 July 2017; Published: 22 August 2017

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