A Future for Integrated Diagnostic Helping

摘要: Medical systems used for exploration or diagnostic helping impose high applicative constraints such as real time image acquisition and displaying. This is especially the case when they are in surgical room where a reactivity required from operators. Large computing capacity order to obtain valuable results. Integrators mainly prefer use of general purpose architectures workstations (Gomes, 2011). They have cope with manufacturing cost setup simplicity. As devices need large amount space, main part processing deported handled tools an external unit. For example, this endoscopic device. Today, dedicated rooms usually many hospitals. Their associated computers that system cumbersome also energy consumers. These issues too problematic efficiently these limited space. Indeed, restrain movements medical staff complexify deployment on ground military humanitarian operations. Therefore it seems logical integrate maximum capacities into themselves make them completely handleable. A requirement devoted processing. can be quite simple like images reconstruction enhancement, features detector 3D reconstruction. embedded inside consumer’s digital cameras advanced driving assistance (ADAS). By analysis both applications systems, possible notice rely similar algorithmic approaches. Also, most integration if someone wants miniaturize consumer devices. concerns chips silicon areas, their power consumption capacities. video sensor processor integrated cell phone cannot reach more than half watt area less dozen square millimeters. one device which endocapscule. It form factor (Harada, 2008) limits components size while its autonomy driven by energies efficiency. The whole may not exceed Watt consumption. About computation diagnostic, based However, depends features, communication mechanical elements mobility biopsy. demands versatility design unique products different targets. larynx intestinal lung do uses same devices, but all