Titlebook: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005; 8th International Co James S. Duncan,Guido Gerig Conference proce

徹底明白

CLAY

Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentationreliable ground truth. We propose a new method for generating synthetic multi-modal 3D brain MRI with tumor and edema, along with the ground truth. Tumor mass effect is modeled using a biomechanical model, while tumor and edema infiltration is modeled as a reaction-diffusion process that is guided b

palpitate

Automatic Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Imagesgiography (MRA) is a challenging segmentation problem due to small size objects of interest (blood vessels) in each 2D MRA slice and complex surrounding anatomical structures, e.g. fat, bones, or grey and white brain matter. We show that due to a multi-modal nature of MRA data blood vessels can be a

RENIN

盤旋

蹣跚

cunning

魔鬼在游行

Unified Point Selection and Surface-Based Registration Using a Particle Filtermputed using a particle filter that outputs a sampled representation of the distribution of the registration parameters. The distribution is propagated through a point selection algorithm derived from a stiffness model of surface-based registration, allowing the selection algorithm to incorporate kn

碎片

Elastic Registration of 3D Ultrasound Imagespy and surgery. However, this registration process is extremely challenging due to the deformation of soft tissue and the existence of speckles in these images. This paper presents a novel intra-modality elastic registration technique for 3D ultrasound images. It uses the general concept of attribut

高射炮

Tracer Kinetic Model-Driven Registration for Dynamic Contrast Enhanced MRI Time Seriestechniques using conventional registration cost functions may produce biased results because they were not designed to deal with the time-varying information content due to contrast enhancement. We present a locally-controlled, 3D translational registration process driven by tracer kinetic modeling