Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah Functional

Feature similarity measures are indispensable in multi-modality medical imaging, which enable joint multi-modal image reconstruction (JmmIR) by communication of feature information among different modalities. In this work, we establish an image similarity measure in terms of image edges from Tver-sky's theory of feature similarity in psychology. This image similarity measure will not force the nonexistent structures to be reconstructed when applied to joint bi-modal image reconstruction (JbmIR). It is applied to the JbmIR of diffuse optical tomography (DOT) and X-ray computed tomography (XCT). The performance is evaluated by two numerical phantoms. It is found that the proposed method improves the reconstructed image quality by more than 10% compared to single modality image reconstruction (SmIR) in terms of SSIM.