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It does so at realistic SNR levels achievable in limited time on a high-performance 3T system for the whole human brain<jats:italic>in vivo<\/jats:italic>. We use both computational simulations and<jats:italic>in vivo<\/jats:italic>brain scans to quantify the angular resolution of two selected reconstruction methods: Q-ball imaging and the diffusion orientation transform. We propose a new analytical solution to the ODF derived from the DOT. Both techniques are analytical decomposition approaches that require identical acquisition and modest postprocessing times and, given the proposed modifications of the DOT, can be analyzed in a similar fashion. We find that an optimal HARDI protocol given a stringent time constraint (&lt;10\u2009min) combines a moderate<jats:italic>b<\/jats:italic>-value (around 2000\u2009s\/mm<jats:sup>2<\/jats:sup>) with a relatively low number of acquired directions (&gt;48). Our findings generalize to other methods and additional improvements in MR acquisition techniques.<\/jats:p>","DOI":"10.1155\/2013\/658583","type":"journal-article","created":{"date-parts":[[2013,3,11]],"date-time":"2013-03-11T17:01:03Z","timestamp":1363021263000},"page":"1-17","source":"Crossref","is-referenced-by-count":9,"title":["Optimal Short-Time Acquisition Schemes in High Angular Resolution Diffusion-Weighted Imaging"],"prefix":"10.1155","volume":"2013","author":[{"given":"V.","family":"Pr\u010dkovska","sequence":"first","affiliation":[{"name":"Department of BioMedical Engineering, Biomedical Image Analysis & Interpretation, Eindhoven University of Technology, Eindhoven, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H. 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