Intra-regional trade serves as a key growth engine for East Asian economies. Accompanying the rapid growth of bilateral and intra-regional trade ties, the East Asian economies are becoming increasingly connected and interdependent. Infrastructure connectivity plays a crucial role in bridging different areas of the East Asian region and enabling them to reap the full socioeconomic benefits of economic cooperation and integration. Nevertheless, further improvement of infrastructure in the region faces major challenges due to the lack of effective mechanisms for coordination and dialogue on regional integration through funding infrastructure projects, as well as the serious trust deficit among member states that has arisen from the on-going territorial and historical disputes.

This paper considers the problems surrounding the implementation of road infrastructure plans in a policy perspective. As the main pillar of regional connectivity, road networks provide the link across national markets, foster strong and sustainable economic growth, help meeting people’s basic needs, and promote trade and competiveness. It is argued that planning, implementing, and managing good transportation infrastructures poses a series of challenges that require competence, good governance, and the availability of funds. Such problems become more complex when road projects encompass different states and become transnational. The regional dimension of connectivity involves both opportunities and risks; a cooperative attitude by all parties is viewed as the best ingredient to achieve a positive balance. Since most countries cannot still rely on domestic resources, the paper stresses the role of virtuous policies in directing capital flows from abroad towards the infrastructural projects of Southeast Asia.

The integration of medical images is the process of registering and fusing them to obtain a greater amount of diagnostic information. In this work an analysis is performed for the integration of images obtained through computed axial tomography and magnetic resonance imaging, for which a tool was developed in the Matlab program, where the registration is implemented through equivalent features; in addition, the pairs of images are compared by several fusion rules, with a view to identify the best algorithm in which the resulting fused image contains the most information from the original representations.