http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1361841513001497<\/a><\/p>\nAbstract<\/h2>\n
Three\u2013dimensional computerized characterization of biomedical solid textures is key to large\u2013scale and high\u2013throughput screening of imaging data. Such data increasingly become available in the clinical and research environments with an ever increasing spatial resolution. In this text we exhaustively analyze the state\u2013of\u2013the\u2013art in 3\u2013D biomedical texture analysis to identify the specific needs of the application domains and extract promising trends in image processing algorithms. The geometrical properties of biomedical textures are studied both in their natural space and on digitized lattices. It is found that most of the tissue types have strong multi\u2013scale directional properties, that are well captured by imaging protocols with high resolutions and spherical spatial transfer functions. The information modeled by the various image processing techniques is analyzed and visualized by displaying their 3\u2013D texture primitives. We demonstrate that non\u2013convolutional approaches are expected to provide best results when the size of structures are inferior to five voxels. For larger structures, it is shown that only multi\u2013scale directional convolutional approaches that are non\u2013separable allow for an unbiased modeling of 3\u2013D biomedical textures. With the increase of high\u2013resolution isotropic imaging protocols in clinical routine and research, these models are expected to best leverage the wealth of 3\u2013D biomedical texture analysis in the future. Future research directions and opportunities are proposed to efficiently model personalized image\u2013based phenotypes of normal biomedical tissue and its alterations. The integration of the clinical and genomic context is expected to better explain the intra class variation of healthy biomedical textures. Using texture synthesis, this provides the exciting opportunity to simulate and visualize texture atlases of normal ageing process and disease progression for enhanced treatment planning and clinical care management.<\/p>\n
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The paper ‘Three-dimensional solid texture analysis in biomedical imaging: review and opportunities’ by Adrien Depeursinge, Antonio Foncubierta-Rodr\u00edguez, Dimitri Van de Ville and Henning M\u00fcller is now available at Medical Image Analysis:\u00a0 http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1361841513001497 Abstract Three\u2013dimensional computerized characterization of biomedical solid textures is key to large\u2013scale and high\u2013throughput screening of imaging data. Such data increasingly become available … <\/p>\n
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