The paper ‘Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities’ by\u00a0Adrien Depeursinge<\/a>\u00a0et al. is among the\u00a0Top 25 Hottest Articles<\/a>\u00a0from the Medical Image Analysis journal for the first quarter of 2014. \u00a0<\/p>\n A b s t r a c t \u00a0<\/p>\n <\/body><\/html><\/p>\n","protected":false},"excerpt":{"rendered":" The paper ‘Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities’ by\u00a0Adrien Depeursinge\u00a0et al. is among the\u00a0Top 25 Hottest Articles\u00a0from the Medical Image Analysis journal for the first quarter of 2014. \u00a0 A b s t r a c tThree-dimensional computerized characterization of biomedical solid textures is key to large-scale and\u00a0high-throughput screening of imaging … <\/p>\n
Three-dimensional computerized characterization of biomedical solid textures is key to large-scale and\u00a0high-throughput screening of imaging data. Such data increasingly become available in the clinical and\u00a0research environments with an ever increasing spatial resolution. In this text we exhaustively analyze\u00a0the state-of-the-art in 3-D biomedical texture analysis to identify the specific needs of the application\u00a0domains and extract promising trends in image processing algorithms. The geometrical properties of biomedical\u00a0textures are studied both in their natural space and on digitized lattices. It is found that most of\u00a0the tissue types have strong multi-scale directional properties, that are well captured by imaging protocols\u00a0with high resolutions and spherical spatial transfer functions. The information modeled by the various
image processing techniques is analyzed and visualized by displaying their 3-D texture primitives.\u00a0We demonstrate that non-convolutional approaches are expected to provide best results when the size of\u00a0structures are inferior to five voxels. For larger structures, it is shown that only multi-scale directional\u00a0convolutional approaches that are non-separable allow for an unbiased modeling of 3-D biomedical textures.\u00a0With the increase of high-resolution isotropic imaging protocols in clinical routine and research,\u00a0these models are expected to best leverage the wealth of 3-D biomedical texture analysis in the future.\u00a0Future research directions and opportunities are proposed to efficiently model personalized image-based\u00a0phenotypes of normal biomedical tissue and its alterations. The integration of the clinical and genomic\u00a0context is expected to better explain the intra class variation of healthy biomedical textures. Using texture\u00a0synthesis, this provides the exciting opportunity to simulate and visualize texture atlases of normal\u00a0ageing process and disease progression for enhanced treatment planning and clinical care management.<\/p>\n