Quantitative Amyloid Imaging Using Image-Derived Arterial Input Function
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{"title"=>"Quantitative amyloid imaging using image-derived arterial input function", "type"=>"journal", "authors"=>[{"first_name"=>"Yi", "last_name"=>"Su", "scopus_author_id"=>"55705001600"}, {"first_name"=>"Tyler M.", "last_name"=>"Blazey", "scopus_author_id"=>"46661686100"}, {"first_name"=>"Abraham Z.", "last_name"=>"Snyder", "scopus_author_id"=>"35548911400"}, {"first_name"=>"Marcus E.", "last_name"=>"Raichle", "scopus_author_id"=>"35356906300"}, {"first_name"=>"Russ C.", "last_name"=>"Hornbeck", "scopus_author_id"=>"57188659236"}, {"first_name"=>"Patricia", "last_name"=>"Aldea", "scopus_author_id"=>"36129285600"}, {"first_name"=>"John C.", "last_name"=>"Morris", "scopus_author_id"=>"35355376000"}, {"first_name"=>"Tammie L.S.", "last_name"=>"Benzinger", "scopus_author_id"=>"6603827262"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84928910661", "sgr"=>"84928910661", "pui"=>"604108548", "pmid"=>"25849581", "doi"=>"10.1371/journal.pone.0122920"}, "id"=>"17548662-1c4c-3043-aa67-4d046e1d50e1", "abstract"=>"Amyloid PET imaging is an indispensable tool widely used in the investigation, diagnosis and monitoring of Alzheimer's disease (AD). Currently, a reference region based approach is used as the mainstream quantification technique for amyloid imaging. This approach assumes the reference region is amyloid free and has the same tracer influx and washout kinetics as the regions of interest. However, this assumption may not always be valid. The goal of this work is to evaluate an amyloid imaging quantification technique that uses arterial region of interest as the reference to avoid potential bias caused by specific binding in the reference region. 21 participants, age 58 and up, underwent Pittsburgh compound B (PiB) PET imaging and MR imaging including a time-of-flight (TOF) MR angiography (MRA) scan and a structural scan. FreeSurfer based regional analysis was performed to quantify PiB PET data. Arterial input function was estimated based on coregistered TOF MRA using a modeling based technique. Regional distribution volume (VT) was calculated using Logan graphical analysis with estimated arterial input function. Kinetic modeling was also performed using the estimated arterial input function as a way to evaluate PiB binding (DVRkinetic) without a reference region. As a comparison, Logan graphical analysis was also performed with cerebellar cortex as reference to obtain DVRREF. Excellent agreement was observed between the two distribution volume ratio measurements (r>0.89, ICC>0.80). The estimated cerebellum VT was in line with literature reported values and the variability of cerebellum VT in the control group was comparable to reported variability using arterial sampling data. This study suggests that image-based arterial input function is a viable approach to quantify amyloid imaging data, without the need of arterial sampling or a reference region. This technique can be a valuable tool for amyloid imaging, particularly in population where reference normalization may not be accurate.", "link"=>"http://www.mendeley.com/research/quantitative-amyloid-imaging-using-imagederived-arterial-input-function-1", "reader_count"=>18, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>4, "Student > Bachelor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Researcher"=>5, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>4, "Student > Bachelor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>3, "Unspecified"=>2, "Medicine and Dentistry"=>5, "Agricultural and Biological Sciences"=>1, "Neuroscience"=>1, "Physics and Astronomy"=>4, "Psychology"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Neuroscience"=>{"Neuroscience"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>4}, "Psychology"=>{"Psychology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"Italy"=>1, "Spain"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2007562"], "description"=>"<p>CER: cerebellar cortex; BS: brain stem; CAU: caudate; PREC: precuneus; GR: gyrus rectus; TEMP: lateral temporal; PREF: prefrontal; MC: mean cortical. <i>V</i><sub><i>T</i></sub>: distribution volume; <i>DVR</i><sub><i>REF</i></sub>: target-region-to-cerebellum distribution volume ratio estimated using Logan graphical analysis with reference region (cerebellar cortex); <i>DVR</i><sub><i>kinetic</i></sub>: <i>V</i><sub><i>T</i></sub><i>/(K1/k2)</i> estimated using full kinetic modeling with IDAIF.</p>", "links"=>[], "tags"=>["amyloid imaging data", "coregistered TOF MRA", "amyloid imaging quantification technique", "approach", "Input Function Amyloid PET imaging", "Quantitative Amyloid Imaging", "cerebellum VT", "PiB PET data", "Pittsburgh compound B", "DVRREF", "mainstream quantification technique", "Arterial input function", "reference region", "distribution volume ratio measurements", "input function", "amyloid imaging", "ad", "icc", "analysis", "Regional distribution volume"], "article_id"=>1369421, "categories"=>["Biological Sciences"], "users"=>["Yi Su", "Tyler M. Blazey", "Abraham Z. Snyder", "Marcus E. Raichle", "Russ C. Hornbeck", "Patricia Aldea", "John C. Morris", "Tammie L. S. Benzinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0122920.g004", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_different_outcome_measurements_between_the_PiB_open_downward_triangles_and_the_PiB_group_solid_upward_triangles_for_selected_regions_/1369421", "title"=>"Comparison of different outcome measurements between the PiB- (open downward triangles) and the PiB+ group (solid upward triangles) for selected regions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-07 03:38:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2007561"], "description"=>"<p>Example cerebellar cortex TAC, arterial ROI TAC and estimated AIF (A); comparison of PET measured TAC and model estimated TAC for the arterial ROI (B).</p>", "links"=>[], "tags"=>["amyloid imaging data", "coregistered TOF MRA", "amyloid imaging quantification technique", "approach", "Input Function Amyloid PET imaging", "Quantitative Amyloid Imaging", "cerebellum VT", "PiB PET data", "Pittsburgh compound B", "DVRREF", "mainstream quantification technique", "Arterial input function", "reference region", "distribution volume ratio measurements", "input function", "amyloid imaging", "ad", "icc", "analysis", "Regional distribution volume"], "article_id"=>1369420, "categories"=>["Biological Sciences"], "users"=>["Yi Su", "Tyler M. Blazey", "Abraham Z. Snyder", "Marcus E. Raichle", "Russ C. Hornbeck", "Patricia Aldea", "John C. Morris", "Tammie L. S. Benzinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0122920.g003", "stats"=>{"downloads"=>4, "page_views"=>38, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_cerebellar_cortex_TAC_arterial_ROI_TAC_and_estimated_AIF_A_comparison_of_PET_measured_TAC_and_model_estimated_TAC_for_the_arterial_ROI_B_/1369420", "title"=>"Example cerebellar cortex TAC, arterial ROI TAC and estimated AIF (A); comparison of PET measured TAC and model estimated TAC for the arterial ROI (B).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-07 03:38:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2007556"], "description"=>"<p>Two of the compartments are located within the tissue: the nondisplaceable compartment containing free plus nonspecifically bound tracer; and the specific compartment containing specifically bound tracer. (BBB: blood-brain barrier; <i>C</i><sub><i>P</i></sub>, tracer concentration within the vasculature compartment; <i>C</i><sub><i>ND</i></sub>, tracer concentration within the nondisplaceable compartment; <i>Cs</i>, tracer concentration within the specific compartment; <i>C</i><sub><i>T</i></sub>, tracer concentration in the tissue including both the nondisplaceable compartment and the specific compartment; <i>K</i><sub><i>1</i></sub>, the influx rate constant of tracer from the vasculature compartment to the tissue; <i>k</i><sub><i>2</i></sub>, the washout rate constant of tracer from the tissue to the vasculature; <i>k</i><sub><i>3</i></sub>, the rate constant for tracer transfer from the nondisplaceable compartment to the specific compartment; <i>k</i><sub><i>4</i></sub>, the rate constant for tracer transfer from specific compartment to the nondisplaceable compartment.)</p>", "links"=>[], "tags"=>["amyloid imaging data", "coregistered TOF MRA", "amyloid imaging quantification technique", "approach", "Input Function Amyloid PET imaging", "Quantitative Amyloid Imaging", "cerebellum VT", "PiB PET data", "Pittsburgh compound B", "DVRREF", "mainstream quantification technique", "Arterial input function", "reference region", "distribution volume ratio measurements", "input function", "amyloid imaging", "ad", "icc", "analysis", "Regional distribution volume"], "article_id"=>1369417, "categories"=>["Biological Sciences"], "users"=>["Yi Su", "Tyler M. Blazey", "Abraham Z. Snyder", "Marcus E. Raichle", "Russ C. Hornbeck", "Patricia Aldea", "John C. Morris", "Tammie L. S. Benzinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0122920.g001", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Illustration_of_two_tissue_compartment_model_/1369417", "title"=>"Illustration of two-tissue compartment model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-07 03:38:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2007564"], "description"=>"<p>Demographics for this study.</p>", "links"=>[], "tags"=>["amyloid imaging data", "coregistered TOF MRA", "amyloid imaging quantification technique", "approach", "Input Function Amyloid PET imaging", "Quantitative Amyloid Imaging", "cerebellum VT", "PiB PET data", "Pittsburgh compound B", "DVRREF", "mainstream quantification technique", "Arterial input function", "reference region", "distribution volume ratio measurements", "input function", "amyloid imaging", "ad", "icc", "analysis", "Regional distribution volume"], "article_id"=>1369423, "categories"=>["Biological Sciences"], "users"=>["Yi Su", "Tyler M. Blazey", "Abraham Z. Snyder", "Marcus E. Raichle", "Russ C. Hornbeck", "Patricia Aldea", "John C. Morris", "Tammie L. S. Benzinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0122920.t001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographics_for_this_study_/1369423", "title"=>"Demographics for this study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-07 03:38:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2007565"], "description"=>"<p>MC: the regions that went into the calculation of MCBP using a FreeSurfer based approach [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0122920#pone.0122920.ref046\" target=\"_blank\">46</a>].</p><p>*Significantly different between PiB- and PiB+ group (p<0.05).</p><p>Regional <i>V</i><sub><i>T</i></sub>, regional <i>DVR</i> estimated using Logan analysis with cerebellar reference (<i>DVR</i><sub><i>REF</i></sub>), and regional <i>DVR</i> estimated with full kinetic model (<i>DVR</i><sub><i>kinetic</i></sub>).</p>", "links"=>[], "tags"=>["amyloid imaging data", "coregistered TOF MRA", "amyloid imaging quantification technique", "approach", "Input Function Amyloid PET imaging", "Quantitative Amyloid Imaging", "cerebellum VT", "PiB PET data", "Pittsburgh compound B", "DVRREF", "mainstream quantification technique", "Arterial input function", "reference region", "distribution volume ratio measurements", "input function", "amyloid imaging", "ad", "icc", "analysis", "Regional distribution volume"], "article_id"=>1369424, "categories"=>["Biological Sciences"], "users"=>["Yi Su", "Tyler M. Blazey", "Abraham Z. Snyder", "Marcus E. Raichle", "Russ C. Hornbeck", "Patricia Aldea", "John C. Morris", "Tammie L. S. Benzinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0122920.t002", "stats"=>{"downloads"=>5, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Regional_V_T_regional_DVR_estimated_using_Logan_analysis_with_cerebellar_reference_DVR_REF_and_regional_DVR_estimated_with_full_kinetic_model_DVR_kinetic_/1369424", "title"=>"Regional <i>V</i><sub><i>T</i></sub>, regional <i>DVR</i> estimated using Logan analysis with cerebellar reference (<i>DVR</i><sub><i>REF</i></sub>), and regional <i>DVR</i> estimated with full kinetic model (<i>DVR</i><sub><i>kinetic</i></sub>).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-04-07 03:38:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2007563"], "description"=>"<p>Comparisons of mean cortical DVR estimated with IDAIF and reference tissue model.</p>", "links"=>[], "tags"=>["amyloid imaging data", "coregistered TOF MRA", "amyloid imaging quantification technique", "approach", "Input Function Amyloid PET imaging", "Quantitative Amyloid Imaging", "cerebellum VT", "PiB PET data", "Pittsburgh compound B", "DVRREF", "mainstream quantification technique", "Arterial input function", "reference region", "distribution volume ratio measurements", "input function", "amyloid imaging", "ad", "icc", "analysis", "Regional distribution volume"], "article_id"=>1369422, "categories"=>["Biological Sciences"], "users"=>["Yi Su", "Tyler M. Blazey", "Abraham Z. Snyder", "Marcus E. Raichle", "Russ C. Hornbeck", "Patricia Aldea", "John C. Morris", "Tammie L. S. Benzinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0122920.g005", "stats"=>{"downloads"=>2, "page_views"=>26, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparisons_of_mean_cortical_DVR_estimated_with_IDAIF_and_reference_tissue_model_/1369422", "title"=>"Comparisons of mean cortical DVR estimated with IDAIF and reference tissue model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-07 03:38:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/2007560"], "description"=>"<p>Example slice of coregistered MRI (E), MRA (F), PET(G), and ROIa (H).</p>", "links"=>[], "tags"=>["amyloid imaging data", "coregistered TOF MRA", "amyloid imaging quantification technique", "approach", "Input Function Amyloid PET imaging", "Quantitative Amyloid Imaging", "cerebellum VT", "PiB PET data", "Pittsburgh compound B", "DVRREF", "mainstream quantification technique", "Arterial input function", "reference region", "distribution volume ratio measurements", "input function", "amyloid imaging", "ad", "icc", "analysis", "Regional distribution volume"], "article_id"=>1369419, "categories"=>["Biological Sciences"], "users"=>["Yi Su", "Tyler M. Blazey", "Abraham Z. Snyder", "Marcus E. Raichle", "Russ C. Hornbeck", "Patricia Aldea", "John C. Morris", "Tammie L. S. Benzinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0122920.g002", "stats"=>{"downloads"=>2, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Three_dimensional_rendering_of_time_of_flight_MRA_A_segmented_arterial_tree_B_the_arterial_region_of_interest_ROIa_C_and_one_example_slice_of_the_arterial_ROI_ROIa_and_the_background_region_of_interest_BG_D_/1369419", "title"=>"Three dimensional rendering of time-of-flight MRA (A), segmented arterial tree (B), the arterial region-of-interest (ROIa) (C), and one example slice of the arterial ROI (ROIa) and the background region-of-interest (BG) (D).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-04-07 03:38:35"}

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{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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