Read e-book online Medical Imaging and Augmented Reality: 5th International PDF


By Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen (auth.), Hongen Liao, P. J. ''Eddie'' Edwards, Xiaochuan Pan, Yong Fan, Guang-Zhong Yang (eds.)

The fifth overseas Workshop on scientific Imaging and Augmented fact, MIAR 2010, was once held on the China nationwide conference middle (CNCC), B- jing, China on September 19–20, 2010. MIAR has remained a very foreign assembly, bringing jointly - searchers from all ?elds with regards to clinical snapshot research, visualization and distinct intervention.In fresh years,technical advances in healing supply andagrowingdemandforpatient-speci?ctreatmenthaveacceleratedtheclinical purposes of MIAR-related recommendations. Imaging performs an more and more imp- tant function in specific remedy, with interventions similar to drug or gene treatment counting on extra actual supply adapted to person sufferers. speedy growth in surgical methodologies, resembling people with robotic guidance, calls for p- cise tips from either preoperative and intraoperative imaging. the quantity of information on hand from current and rising imaging modalities ends up in a - sire for extra automatic research for analysis, segmentation and registration. study during this speedily constructing sector is extremely multi-disciplinary, integrating examine in lifestyles sciences, actual sciences, engineering, and medicine.

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Additional resources for Medical Imaging and Augmented Reality: 5th International Workshop, MIAR 2010, Beijing, China, September 19-20, 2010. Proceedings

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This paper is motivated by a recent finding that shows the infarct and peri-infarct zones to be independent predictors of post myocardial infarction. This paper proposes a method to segment the endocardial and epicardial contours of the left ventricle in the presence of the enhanced infarct and peri-infarct tissues. A level set method using shape priors, obtained from a 3D active appearance model of the ventricle wall on cine MR images is presented. From the extracted 3D cardiac ventricular wall, a method is proposed to segment the infarct and peri-infarct tissues using intensity, volume, shape and heart wall thickness features.

2 Minimal Paths as Vessel Centerlines Medical image analysis tools developed for clinical applications often employ graph-based minimal path extraction techniques for delineating centerlines of blood vessels [9, 6, 10]. Due to the existence of efficient implementation schemes, this type of algorithms provides an attractive approach to select the minimumcost path among all feasible paths between user/automatically-placed seed points. A key ingredient in minimal path techniques is the definition (and use) of a local operator that computes the individual costs of moving from a voxel to another.

LV epicardial borders, is part of our future work. 26 L. Wang et al. Table 1. Segmentation error statistics for the ASM, MM, IPCA and IMM (in mm) Mean error St. 90 Flg. 1. Detailed segmentation results for the 21 HCM datasets as obtained by using the ASM and the proposed IMM framework Table 1 summarizes the mean point-to-point errors and standard deviations for all the techniques used for comparison. For a more detailed evaluation of the results, the segmentation errors for the 21 HCM data are displayed in Fig.

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