Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Using a simple model it is shown that the cost of constraining a hydrated potassium ion inside a narrow nanopore is smaller than the cost of constraining the smaller hydrated sodium ion. The former allows for a greater distortion of its hydration shell and can therefore maintain a better coordination. We propose that in this way the larger ion can go through narrow pores more easily. This is re...