In this article, we present some advances on medical imaging and computing at the National Laboratory of Pattern Recognition (NLPR) in the Chinese Academy of Sciences. The first part is computational neuroanatomy. Several novel methods on segmentations of brain tissue and anatomical substructures, brain image registration, and shape analysis are presented. The second part consists of brain conn...

Recent advances in medical imaging modalities such as magnetic resonance (MR) imaging and multidetector computed tomography (MDCT) enable us to acquire high-dimensional, sectional, thin-sliced, and a large number of images within a short acquisition time. The sheer volume of data poses great challenges for human interpretation of images by radiologists. Image processing becomes essential to ana...

About one decade ago, Yannis Aloimonos complained that \Unfortunately, there is a disconcerting lack of visual systems which perform well in real-world environments, particularly when compared to the amount of mathematical theory published on the subject."| a complaint which not only holds for computational vision in general but in particular also for the safety-critical case of medical image c...

In this paper we present a cloud computing environment for medical imaging which deals with the issues of scaling a traditionally single-user solution to a software-as-a-service solution. We will first introduce volume rendering for medical imaging, and the issues with volume rendering of medical images on the cloud. We will then describe our method for accelerating CPU based volume rendering o...

Based on granular computing methodology, we propose two criteria to quantitatively measure privacy invasion. The total cost criterion measures the effort needed for a data recipient to find private information. The average benefit criterion measures the benefit a data recipient obtains when he received the released data. These two criteria remedy the inadequacy of the deterministic privacy form...

Medical monitors have benefited from technological advances in the field of wireless communication, processing and power sources. These advances have made possible miniaturization and prolonged operating times of medical monitors, as well as their global integration into telemedical systems. This allows patients to have real-time feedback about medical conditions while going about their normal ...

BACKGROUND Medical image computing is of growing importance in medical diagnostics and image-guided therapy. Nowadays, image analysis systems integrating advanced image computing methods are used in practice e.g. to extract quantitative image parameters or to support the surgeon during a navigated intervention. However, the grade of automation, accuracy, reproducibility and robustness of medica...

grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach a common computational platform. mobile computing is a generic word that introduces using of movable, handheld devices with wireless communication, for processing data. mobile computing focused on providing access to data, information, services and communications anywhere an...

Home healthcare promises significant advantages over the traditional hospitalization, provided the support of the contemporary scientific and technological achievements. The ubiquitous computing paradigm suits the home healthcare provided that the dispersed computing devices in the home environment can actively participate in the interpretation of the developed, each time, medical context. Larg...