Abstract #4940

Co-registration of Breast MRI and CT Using Gravity Unloading

Yang Zhang¹, Jeon-Hor Chen^1,2, Siwa Chan³, and Min-Ying Su¹

¹Tu & Yuen Center for Functional Onco-Imaging, University of California, Irvine, Irvine, CA, United States, ²E-Da Hospital and I-Shou University, Kaohsiung, Taiwan, ³Tzu-Chi General Hospital, Taichung, Taiwan

A biomechanical simulation method for co-registration of breast MRI and low-dose chest computed tomography (LDCT) images is presented, by aligning the images in a virtually unloaded configuration. The breast tissue was considered as neo-Hookean material, and the finite element method was applied to simulate the deformation from gravity-unloading. The Demon’s non-rigid registration algorithm was applied to co-register the gravity-unloaded MRI and LDCT models. Fourteen normal subjects who received both breast MRI and LDCT for breast and lung cancer screening were analyzed. The results show that the pre-processing using gravity unloading can facilitate the co-registration of LDCT and MRI.

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