This work presents a framework driven by parcellation of brain gray matter in standard normalized space to classify the neuronal fibers obtained from diffusion tensor imaging (DTI)...
Yan Xia, And U. Turken, Susan L. Whitfield-Gabriel...
Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...
Abstract. In the present study, fully nonlinear (i.e. accounting for both geometric and material nonlinearities) patient specific finite element brain model was applied to predict ...
Adam Wittek, Ron Kikinis, Simon K. Warfield, Karol...
Dynamic contrast-enhanced 4-D MR renography has the potential for broad clinical applications, but suffers from respiratory motion that limits analysis and interpretation. Since ea...
Ting Song, Vivian S. Lee, Henry Rusinek, Manmeen K...
A 4D image registration method is proposed for consistent estimation of cardiac motion from MR image sequences. Under this 4D registration framework, all 3D cardiac images taken at...
Dinggang Shen, Hari Sundar, Zhong Xue, Yong Fan, H...
Accurate 3D/2D vessel registration is complicated by issues of image quality, occlusion, and other problems. This study performs a quantitative comparison of 3D/2D vessel registrat...
Chetna Pathak, Mark H. Van Horn, Susan Weeks, Eliz...
Abstract. X-ray microCT (computed tomography) has become a valuable tool in the analysis of vascular architecture in small animals. Because of its high resolution, a detailed asses...
Marcel Jackowski, Xenophon Papademetris, Lawrence ...
Real-time three-dimensional ultrasound (RT3D US) is an ideal imaging modality for the diagnosis of cardiac disease. RT3D US is a flexible, inexpensive, non-invasive tool that provi...
Xishi Huang, Nicholas A. Hill, Jing Ren, Gerard Gu...
In this study we have designed and created a data-fusion display that has enabled volumetric MIP image navigation using intraoperative C-arm CT data in the operating room. The 3D v...
Computer-based simulation is an important tool for surgical skills training and assessment. In general, the degree of realism experienced by the trainees is determined by the visua...
Mohamed A. ElHelw, M. Stella Atkins, Marios Nicola...