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Proceedings Paper

A totally deflated lung's CT image construction by means of extrapolated deformable registration
Author(s): Ali Sadeghi Naini; Rajni V. Patel; Abbas Samani
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Paper Abstract

A novel technique is proposed to construct CT image of a totally deflated lung using breath-hold lung's preoperative CT images acquired during respiration. Such a constructed CT image is very useful in tumor targeting during tumor ablative procedures such as lung brachytherapy used for lung cancer treatment. To minimize motion within the target lung, tumor ablative procedures are frequently performed while the lung is totally deflated. Deflating the lung during such procedures renders pre-operative images ineffective for tumor targeting, because those images correspond to the lung while it is partially inflated. Furthermore, the problem cannot be solved using intra-operative Ultrasound (US) images. This is because the quality of lung US images degrades substantially as a result of the residual air inside the deflated lung, thus it is not an effective intra-operative imaging modality by itself. One possible approach for image-guided lung brachytherapy is to register high quality preoperative CT images of the deflated lung with their corresponding low quality intra-operative US images. To obtain the CT images of deflated lung, a novel image construction technique is presented. The proposed technique was implemented using two deformable registration methods: multi-resolution B-spline and multi-resolution demons. The technique was applied to ex vivo porcine lungs where results obtained were found to be very encouraging.

Paper Details

Date Published: 11 March 2011
PDF: 8 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796228 (11 March 2011); doi: 10.1117/12.872029
Show Author Affiliations
Ali Sadeghi Naini, Univ. of Western Ontario (Canada)
Robarts Research Institute (Canada)
Lawson Health Research Institute (Canada)
Rajni V. Patel, Univ. of Western Ontario (Canada)
Lawson Health Research Institute (Canada)
Abbas Samani, Univ. of Western Ontario (Canada)
Robarts Research Institute (Canada)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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