Zoekresultaten

Characterization of automatic treatment planning approaches in radiotherapy

Background and purpose: Automatic approaches are widely implemented to automate dose optimization in radiotherapy treatment planning. This study systematically investigates how to configure automatic planning in order to create the best possible plans. Materials and methods: Automatic plans were generated using protocol based automatic iterative optimization. Starting from a simple automation protocol which consisted of the constraints for targets and organs at risk (OAR), the performance of the automatic approach was evaluated in terms of target coverage, OAR sparing, conformity, beam complexity, and plan quality. More complex protocols were systematically explored to improve the quality of the automatic plans. The protocols could be improved by adding a dose goal on the outer 2 mm of the PTV, by setting goals on strategically chosen subparts of OARs, by adding goals for conformity, and by limiting the leaf motion. For prostate plans, development of an automated post-optimization procedure was required to achieve precise control over the dose distribution. Automatic and manually optimized plans were compared for 20 head and neck (H&N), 20 prostate, and 20 rectum cancer patients. Results: Based on simple automation protocols, the automatic optimizer was not always able to generate adequate treatment plans. For the improved final configurations for the three sites, the dose was lower in automatic plans compared to the manual plans in 12 out of 13 considered OARs. In blind tests, the automatic plans were preferred in 80% of cases. Conclusions: With adequate, advanced, protocols the automatic planning approach is able to create high-quality treatment plans.

Enhancing Institutional Learning and Embracing Disruptive Interventions as a Bottom-Up Way to Innovate Planning Practice

Amsterdam strives to combat a shortage of homes by launching an ambitious housing development scheme for 32 designated most deprived neighborhoods. After decades of urban renewal projects, the local communities still suffer from difficult to resolve socioeconomic problems. Aside from a minimum of 40% social dwelling units, 40% of homes are reserved for the middle class and only 20% for high-end. Mixing income segments on its own will not lead to an improved socio-economic status of the inhabitants thus, a new urban renewal program has been developed. On top of that, the new progressive municipal council, intends to democratise the urban renewal processes towards more community-led developments with local support and structural solutions. Some experts may argue that we require a radical new way of planning whilst others counter, that current standardised planning procedures cannot be easily changed.In partnership with themunicipality, we reflect on Amsterdam’s urban regeneration program and enhance collective crossborder learning by organising monthly learning sessions with the managers involved. Now that thefirst phases of the planning process have been completed, we follow a Grounded Theory (GT)method to structure the collected data and analyse the perceived barriers hindering the modernisation of planning practice. Observations and promising actions to make the participation process more inclusive, interactive and influential will be discussed. One example is that some managers on the ground who have to work with the system, are taking short cuts in planning procedures to ensure that citizens’ needs are incorporated in the developed plan. These disruptiveinterventions may be used to formalise and implement new policy and more effective pathways ofcommunity-based development.

Designing for climate adaptation

The question of how to design climate-resilient landscapes plays a major role in the European projects in which the green university has been involved, such as Future Cities and F:ACTS!. These are projects in which various European organizations, government authorities and universities have joined forces to find an answer to climate-related issues. Van Hall Larenstein also collaborates with Almere, a relatively new Dutch municipality that is changing rapidly and that prioritizes climate resilience in its development. Over the years there has been a clear development in climate-adaptive planning, both in education and in practice.

Unpacking social learning in planning: who learns what from whom?

Social learning is the process of exchanging and developing knowledge (including skills and experiences) through human interaction. This key planning process needs to be better understood, given the increase and variety of non-planners influencing planning processes. This article explores who learns what from whom through social learning in planning. We unpack social learning theoretically to be able to map it, and employ empirically-based storytelling to discuss its relevance to planning practice. We conclude that social learning can lead to positive and negative outcomes and provides a useful analytical lens to understand planning practices at the level of individuals.

TVET Planning and Development

There are changes in society and labour market demands made to TVET and in the TVET system itself. To deal with both types of challenges, the aim for TVET planning and development is to anticipate how employment will evolve and to determine how to give individuals a knowledge base that will enable them to adapt to the changing demands and benefit from the mobility. Major research areas connected to relevant problem areas in the TVET planning and development process can be constituted by analysis of labour market developments and changes in learning contents, new insights into the development of skills, competences and expertise, integration of learning places in school and workplace, professional development of VET teachers and trainers and VET and organisational development in organisations.

Planning for flood resilient cities - from promise to practice?