다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Advances in functional and structural MR image analysis and implementation as FSL.

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268

This paper surveys the field of augmented reality AR, in which 3D virtual objects are integrated into a 3D real environment in real time. It describes the medical, manufacturing, visualization, path planning, entertainment, and military applications that have been explored. This paper describes the characteristics of augmented reality systems, including a detailed discussion of the tradeoffs between optical and video blending approaches. Registration and sensing errors are two of the biggest problems in building effective augmented reality systems, so this paper summarizes current efforts to overcome these problems. Future directions and areas requiring further research are discussed. This survey provides a starting point for anyone interested in researching or using augmented reality.

/pdf/a-survey-of-augmented-reality-17irtaxt7z.pdf

A survey of augmented reality

https://hal.inria.fr/hal-01010765/document

Sa1640 Smart Atlas for Supporting the Interpretation of Probe-Based Confocal LASER Endomicroscopy (pCLE) of Gastric Lesions: First Classification Results of a Computer-Aided Diagnosis Software Based on Image Recognition

/pdf/chapter-34-landmark-based-registration-using-features-30y619og9y.pdf

Chapter 34 – Landmark-Based Registration Using Features Identified through Differential Geometry

Quelques problèmes posés par la gestion des primitives géométriques en vision par ordinateur

MR image-based computer heart models are powerful non-invasive tools that can help us predict the transmural electrical propagation of abnormal depolarization-repolarization waves in the presence of infarct scars i.e., collagenous fibrosis, a major cause of sudden death; however, an important step is the customization of these models from electrophysiology studies EP . In this work, we used MR-EP data obtained in a pre-clinical animal model i.e., three healthy and two infarcted swine hearts and customized a simple mono-domain model i.e., the Aliev-Panfilov model. Specifically, we estimated the mathematical parameters corresponding to: a the repolarization phase from in vivo activation-recovery intervals, ARIs recorded in vivo with a CARTO system, and b the anisotropy ratio from fluorescence microscopic imaging of connexin 43, Cx43. Our measurements showed that in the ischemic peri-infarct areas the ARIs intervals were shorter by ~ 14% compared to those in normal tissue, and that there was a significant reduction > 50% in the Cx43 density which tunes the cell-to-cell coupling and tissue bulk conductivity with respect to both longitudinal and transverse directions of the myocyte. In addition, we included comparisons between virtual in silico simulations of activation maps obtained with different parameters used as input to a 3D MR-based biventricular model. Our preliminary results demonstrated the feasibility of using generic parameters to customize such MR-based models; however, further quantitative studies are needed. Finally, we discussed the overall advantages and limitations of our simplified approach, along with future directions.

Nicholas Ayache

Papers

Sa1640 Smart Atlas for Supporting the Interpretation of Probe-Based Confocal LASER Endomicroscopy (pCLE) of Gastric Lesions: First Classification Results of a Computer-Aided Diagnosis Software Based on Image Recognition

Chapter 34 – Landmark-Based Registration Using Features Identified through Differential Geometry

Quelques problèmes posés par la gestion des primitives géométriques en vision par ordinateur

Progress on Customization of Predictive MRI-Based Macroscopic Models from Experimental Data

El Cerebro in Cuatro Dimensiones