Titlebook: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006; 9th International Co Rasmus Larsen,Mads Nielsen,Jon Sporring Conf

Merited

Active Shape Models for a Fully Automated 3D Segmentation of the Liver – An Evaluation on Clinical Dtio of deviations larger 5mm). The only appearance model delivering usable results is the normalized gradient profile. The deformable model search achieves the best results, followed by the ASM search with 30 modes. Overall, statistical shape modeling delivers very promising results for a fully automated segmentation of the liver.

PHIL

Patient Position Detection for SAR Optimization in Magnetic Resonance Imaginga new “move during scan” protocol which provides low resolution MR data during the initial movement of the patient bed into the scanner, is used to validate the detection algorithm. When being integrated, our results would enable automatic SAR optimization within the usual acquisition workflow at no extra cost.

加入

Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adultsft-right comparison is possible. This work is an extension of that proposed by Guimond et al [1]. Hippocampal segmentation is used as a test-case in a cohort of 118 normal eld-erly subjects and results are compared with expert manual tracing.

APNEA

表否定

Image Diffusion Using Saliency Bilateral Filterg kernels and perceptual saliency makes it possible to remove small-scale structures and preserves significant boundaries adaptively. The effectiveness of the proposed approach is validated by experiments on various medical images including the color Chinese Visible Human data set and gray MRI brain images.

motor-unit

Shape Filtering for False Positive Reduction at Computed Tomography Colonography colonic surface) and offers robust polyp detection with an overall false positive rate of 5.44 per dataset at a sensitivity of 100% for polyps greater than 10mm when it was applied to standard and low dose CT data.

FEAS

Evaluation of Texture Features for Analysis of Ovarian Follicular Development features which allowed accurate distinction of healthy and atretic follicles of similar diameters. Trend analysis revealed consistent turning points in time series of texture features between 3 and 4 days prior to ovulation coinciding with the time at which follicles are being biologically “prepared” for ovulation.

小鹿

引导

Blood Flow and Velocity Estimation Based on Vessel Transit Time by Combining 2D and 3D X-Ray Angiogr velocity estimation from 2D sequence by comparing time-density signals measured at different ends of the projected vessel. From the average velocity and cross-section area we get the average blood flow estimate for each vessel. The algorithm described here is applied to datasets from real neuroradiological studies.

single

Generation of Curved Planar Reformations from Magnetic Resonance Images of the Spineion of vertebral spinous processes around the spine. The optimal polynomial parameters are found in an optimization framework, based on image analysis. The method was evaluated on 19 MR images of the spine from 10 patients.