A breath-hold (BH) acquisition method is easy of operation and recently studied actively. In the method, a patient is asked to hold his/her breath for 10 to 30 s as the image acquisition is performed. This is repeated several times and the obtained images are summed. In practice, however, a patient cannot necessarily hold his/her breath at the same timing of breathing. In such a case, the summed images still has a blur. In this paper, we propose to apply our image registration method developed before for respiratory-gated images to BH images. The BH images are nonlinearly motion-corrected so as to match a reference BH image and summed. Through the experiment with ten patient BH image data, we confirmed that the proposed method is effective in obtaining a non-blurred image.
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Interuniversity Institute of Miology (IIM), Department of Basic and Applied Medical Sciences G. D'Annunzio Medical School, University of Chieti, ChietiInteruniversity Institute of Miology (IIM), Department of Basic and Applied Medical Sciences G. D'Annunzio Medical School, University of Chieti, Chieti
Bosco G.
Tano G.
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Interuniversity Institute of Miology (IIM), Department of Basic and Applied Medical Sciences G. D'Annunzio Medical School, University of Chieti, ChietiInteruniversity Institute of Miology (IIM), Department of Basic and Applied Medical Sciences G. D'Annunzio Medical School, University of Chieti, Chieti
Tano G.
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Zanon V.
Fanò G.
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Interuniversity Institute of Miology (IIM), Department of Basic and Applied Medical Sciences G. D'Annunzio Medical School, University of Chieti, ChietiInteruniversity Institute of Miology (IIM), Department of Basic and Applied Medical Sciences G. D'Annunzio Medical School, University of Chieti, Chieti
机构:
Duke Univ, Med Ctr, Ctr Hyperbar Med & Environm Physiol, Durham, NC 27710 USADuke Univ, Med Ctr, Ctr Hyperbar Med & Environm Physiol, Durham, NC 27710 USA