Influence of Noise Correction on Intra- and Inter-Subject Variability of Quantitative Metrics in Diffusion Kurtosis Imaging
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{"title"=>"Influence of noise correction on intra- And inter-subject variability of quantitative metrics in diffusion kurtosis imaging", "type"=>"journal", "authors"=>[{"first_name"=>"Elodie D.", "last_name"=>"André", "scopus_author_id"=>"7006887753"}, {"first_name"=>"Farida", "last_name"=>"Grinberg", "scopus_author_id"=>"6701444227"}, {"first_name"=>"Ezequiel", "last_name"=>"Farrher", "scopus_author_id"=>"37099757100"}, {"first_name"=>"Ivan I.", "last_name"=>"Maximov", "scopus_author_id"=>"7005587744"}, {"first_name"=>"N. Jon", "last_name"=>"Shah", "scopus_author_id"=>"8508072500"}, {"first_name"=>"Christelle", "last_name"=>"Meyer", "scopus_author_id"=>"55786520900"}, {"first_name"=>"Mathieu", "last_name"=>"Jaspar", "scopus_author_id"=>"54417321200"}, {"first_name"=>"Vincenzo", "last_name"=>"Muto", "scopus_author_id"=>"14420112600"}, {"first_name"=>"Christophe", "last_name"=>"Phillips", "scopus_author_id"=>"7403135552"}, {"first_name"=>"Evelyne", "last_name"=>"Balteau", "scopus_author_id"=>"23090294600"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84899528648", "pui"=>"372974626", "doi"=>"10.1371/journal.pone.0094531", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "sgr"=>"84899528648", "pmid"=>"24722363"}, "id"=>"4603fc42-e969-3082-a4be-71ec723b16c4", "abstract"=>"Diffusion kurtosis imaging (DKI) is a promising extension of diffusion tensor imaging, giving new insights into the white matter microstructure and providing new biomarkers. Given the rapidly increasing number of studies, DKI has a potential to establish itself as a valuable tool in brain diagnostics. However, to become a routine procedure, DKI still needs to be improved in terms of robustness, reliability, and reproducibility. As it requires acquisitions at higher diffusion weightings, results are more affected by noise than in diffusion tensor imaging. The lack of standard procedures for post-processing, especially for noise correction, might become a significant obstacle for the use of DKI in clinical routine limiting its application. We considered two noise correction schemes accounting for the noise properties of multichannel phased-array coils, in order to improve the data quality at signal-to-noise ratio (SNR) typical for DKI. The SNR dependence of estimated DKI metrics such as mean kurtosis (MK), mean diffusivity (MD) and fractional anisotropy (FA) is investigated for these noise correction approaches in Monte Carlo simulations and in in vivo human studies. The intra-subject reproducibility is investigated in a single subject study by varying the SNR level and SNR spatial distribution. Then the impact of the noise correction on inter-subject variability is evaluated in a homogeneous sample of 25 healthy volunteers. Results show a strong impact of noise correction on the MK estimate, while the estimation of FA and MD was affected to a lesser extent. Both intra- and inter-subject SNR-related variability of the MK estimate is considerably reduced after correction for the noise bias, providing more accurate and reproducible measures. In this work, we have proposed a straightforward method that improves accuracy of DKI metrics. This should contribute to standardization of DKI applications in clinical studies making valuable inferences in group analysis and longitudinal studies.", "link"=>"http://www.mendeley.com/research/influence-noise-correction-intra-intersubject-variability-quantitative-metrics-diffusion-kurtosis-im", "reader_count"=>28, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>2, "Other"=>2, "Student > Master"=>1, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>2, "Other"=>2, "Student > Master"=>1, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Environmental Science"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>10, "Neuroscience"=>7, "Physics and Astronomy"=>3, "Psychology"=>1, "Chemistry"=>1, "Social Sciences"=>1, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>10}, "Neuroscience"=>{"Neuroscience"=>7}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Psychology"=>{"Psychology"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>1}}, "reader_count_by_country"=>{"Austria"=>1, "United States"=>1}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1458605"], "description"=>"<p>The averaged histograms are shown for one selected slice (the same as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094531#pone-0094531-g009\" target=\"_blank\">Figure 9</a>) for the different correction schemes: (a) M1, (b) M2, (c) NC, (d) BM4D+M1, (e) BM4D+M2, (f) BM4D+NC. Black curves represent the whole slice histograms; red and blue curves refer to WM and GM parts, respectively.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "mk", "maps", "averaged"], "article_id"=>994336, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g010", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Histograms_of_the_MK_maps_averaged_over_all_subjects_/994336", "title"=>"Histograms of the MK maps averaged over all subjects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458600"], "description"=>"<p>(a) Right Globus Pallidus and (b) Left Temporal Lobe. Results are shown for the same subject with 6 different levels of SNR corresponding to acquisitions P1 to P6.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "mk", "correction", "schemes"], "article_id"=>994331, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g007", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Averaged_MK_values_for_the_different_correction_schemes_in_two_different_ROIs_/994331", "title"=>"Averaged MK values for the different correction schemes in two different ROIs.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458599"], "description"=>"<p>This figure corresponds to a zoomed area of <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094531#pone-0094531-g005\" target=\"_blank\">Figure 5</a> for 4 selected positions (P1, P4, P5 and P6) and the same correction schemes (shown in colour for better visualization).</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "snr", "mk", "maps"], "article_id"=>994330, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g006", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Zoom_of_SNR_and_MK_maps_for_different_SNR_acquisitions_/994330", "title"=>"Zoom of SNR and MK maps for different SNR acquisitions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458608"], "description"=>"<p>All correlations were negative.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "mk", "deviations", "correction", "p-values", "pearson", "snr", "indicated"], "article_id"=>994339, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.t003", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_MK_values_and_standard_deviations_for_each_correction_scheme_and_each_ROI_P_values_for_Pearson_correlation_with_SNR_are_indicated_by_p_lt_0_05_and_p_lt_0_01_/994339", "title"=>"Mean MK values and standard deviations for each correction scheme and each ROI. P-values for Pearson correlation with SNR are indicated by: * p<0.05 and ** p<0.01.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458590"], "description"=>"<p>The data correspond to a single diffusion direction in WM areas, for two different voxels with apparent SNR values equal to 26.3 (a) and 16.7 (b) respectively.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "attenuation", "fits", "corrections", "correction"], "article_id"=>994321, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g002", "stats"=>{"downloads"=>0, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Normalized_signal_attenuation_fits_before_and_after_noise_corrections_for_the_different_correction_schemes_/994321", "title"=>"Normalized signal attenuation fits before and after noise corrections for the different correction schemes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458607"], "description"=>"<p><i>K<sub>app</sub></i> and <i>D<sub>app</sub></i> (10<sup>−3</sup> mm<sup>2</sup>/s) values for two voxels with different SNR, corresponding to <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094531#pone-0094531-g001\" target=\"_blank\">Figure 1</a>, with their standard errors.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "voxels", "corresponding"], "article_id"=>994338, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.t002", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_K_app_and_D_app_10_8722_3_mm_2_s_values_for_two_voxels_with_different_SNR_corresponding_to_Figure_1_with_their_standard_errors_/994338", "title"=>"<i>K<sub>app</sub></i> and <i>D<sub>app</sub></i> (10<sup>−3</sup> mm<sup>2</sup>/s) values for two voxels with different SNR, corresponding to Figure 1, with their standard errors.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458589"], "description"=>"<p>Averaged values of (a) FA, (b) MD, (c) MK over 2500 trials and their corresponding mean square errors (d–f) for different estimators. The results are shown for the uncorrected noisy signal (red), and for the signal corrected by M1 (green), M2 (blue) and ML (magenta). The black line indicates the reference value.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics"], "article_id"=>994320, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Monte_Carlo_simulations_/994320", "title"=>"Monte-Carlo simulations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458602"], "description"=>"<p>The reference is the average MK map over the 5 positions for each correction schemes. Arrows indicate regions of positive bias of MK due to lower SNR.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "maps", "correction", "snr", "positions"], "article_id"=>994333, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g008", "stats"=>{"downloads"=>0, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Z_score_maps_for_each_correction_scheme_rows_and_low_SNR_positions_P1_to_P5_/994333", "title"=>"Z-score maps for each correction scheme (rows) and low SNR positions (P1 to P5).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458597"], "description"=>"<p>The first column corresponds to SNR maps calculated as the ratio of the signal in non-DW images and the noise standard deviation. MK maps are shown in the other columns. Each row represents one acquisition with a different SNR profile. Results are shown for non-corrected (BM4D+NC) and corrected (BM4D+M1 and BM4D+M2) data. Results without BM4D filter are similar. The region delineated by a white rectangle is zoomed in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094531#pone-0094531-g006\" target=\"_blank\">Figure 6</a>.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "corresponding", "mk", "maps", "snr"], "article_id"=>994328, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g005", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_SNR_and_corresponding_MK_maps_for_low_P1_to_P5_and_high_P6_SNR_acquisitions_/994328", "title"=>"SNR and corresponding MK maps for low (P1 to P5) and high (P6) SNR acquisitions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458610"], "description"=>"<p>All experiments were conducted at 3T.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "published", "studies"], "article_id"=>994341, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.t005", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_selected_parameters_from_different_published_studies_used_for_comparison_/994341", "title"=>"Summary of selected parameters from different published studies used for comparison.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458592"], "description"=>"<p>(a) MK map of the selected slice for high SNR acquisition (P6) corrected with M1 and (b) the MK histograms of the same slice for three correction schemes (dashed lines). The corresponding histograms for P1 (low SNR acquisition) are also shown (solid curves). The histograms are practically overlapping after the noise correction (blue and green curves). The non-corrected histograms are shifted with respect to each other. However, the difference between corrected and non-corrected values is smaller for higher SNR.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "histograms", "mk", "snr"], "article_id"=>994323, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g004", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Map_and_histograms_of_MK_for_high_SNR_acquisition_P6_/994323", "title"=>"Map and histograms of MK for high SNR acquisition (P6).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458609"], "description"=>"<p>Mean MK values and standard deviation over 25 subjects for each correction scheme.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "mk", "deviation", "25", "subjects", "correction"], "article_id"=>994340, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.t004", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_MK_values_and_standard_deviation_over_25_subjects_for_each_correction_scheme_/994340", "title"=>"Mean MK values and standard deviation over 25 subjects for each correction scheme.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458606"], "description"=>"<p>Summary of the acquisition parameters for each protocol.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics"], "article_id"=>994337, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.t001", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_the_acquisition_parameters_for_each_protocol_/994337", "title"=>"Summary of the acquisition parameters for each protocol.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458591"], "description"=>"<p>(a) MK map for one single subject (position P1) and one selected slice corrected with method M1. (b) MK, (c) MD and (d) FA histograms of the same slice for uncorrected signal (NC and BM4D+NC) and using various correction schemes (M1, BM4D+M1, M2, BM4D+M2 and ML estimator).</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "diffusion"], "article_id"=>994322, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g003", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Histograms_of_diffusion_parameters_for_one_slice_/994322", "title"=>"Histograms of diffusion parameters for one slice.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/1458604"], "description"=>"<p>MK maps are shown on first and third rows and the corresponding standard deviation maps on second and fourth rows for (a) NC, (b) M1, (c) M2, (d) BM4D+NC, (e) BM4D+M1, (f) BM4D+M2. (g) Mean SNR maps of the averaged non-DW image.</p>", "links"=>[], "tags"=>["neuroscience", "neuroimaging", "signal processing", "Image processing", "Diagnostic medicine", "Medical physics", "neurology", "mathematics", "Applied mathematics", "Statistics (mathematics)", "physics", "mk", "maps", "25", "subjects", "deviation"], "article_id"=>994335, "categories"=>["Biological Sciences"], "users"=>["Elodie D. André", "Farida Grinberg", "Ezequiel Farrher", "Ivan I. Maximov", "N. Jon Shah", "Christelle Meyer", "Mathieu Jaspar", "Vincenzo Muto", "Christophe Phillips", "Evelyne Balteau"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0094531.g009", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Averaged_MK_maps_over_25_subjects_and_their_standard_deviation_for_one_selected_slice_/994335", "title"=>"Averaged MK maps over 25 subjects and their standard deviation for one selected slice.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-10 02:47:21"}

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