Towards Omni-Tomography—Grand Fusion of Multiple Modalities for Simultaneous Interior Tomography
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{"title"=>"Towards omni-tomography-grand fusion of multiple modalities for simultaneous interior tomography", "type"=>"journal", "authors"=>[{"first_name"=>"Ge", "last_name"=>"Wang", "scopus_author_id"=>"7407148134"}, {"first_name"=>"Jie", "last_name"=>"Zhang", "scopus_author_id"=>"36068036200"}, {"first_name"=>"Hao", "last_name"=>"Gao", "scopus_author_id"=>"35093901700"}, {"first_name"=>"Victor", "last_name"=>"Weir", "scopus_author_id"=>"8415506100"}, {"first_name"=>"Hengyong", "last_name"=>"Yu", "scopus_author_id"=>"20435223800"}, {"first_name"=>"Wenxiang", "last_name"=>"Cong", "scopus_author_id"=>"7005402309"}, {"first_name"=>"Xiaochen", "last_name"=>"Xu", "scopus_author_id"=>"8637927500"}, {"first_name"=>"Haiou", "last_name"=>"Shen", "scopus_author_id"=>"14124030700"}, {"first_name"=>"James", "last_name"=>"Bennett", "scopus_author_id"=>"7404251671"}, {"first_name"=>"Mark", "last_name"=>"Furth", "scopus_author_id"=>"7003480540"}, {"first_name"=>"Yue", "last_name"=>"Wang", "scopus_author_id"=>"35301098300"}, {"first_name"=>"Michael", "last_name"=>"Vannier", "scopus_author_id"=>"24536157600"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84863090423", "pui"=>"365133292", "doi"=>"10.1371/journal.pone.0039700", "sgr"=>"84863090423", "pmid"=>"22768108"}, "id"=>"bee3f058-1d75-35ea-9eb9-7f8ac2a8451d", "abstract"=>"We recently elevated interior tomography from its origin in computed tomography (CT) to a general tomographic principle, and proved its validity for other tomographic modalities including SPECT, MRI, and others. Here we propose \"omni-tomography\", a novel concept for the grand fusion of multiple tomographic modalities for simultaneous data acquisition in a region of interest (ROI). Omni-tomography can be instrumental when physiological processes under investigation are multi-dimensional, multi-scale, multi-temporal and multi-parametric. Both preclinical and clinical studies now depend on in vivo tomography, often requiring separate evaluations by different imaging modalities. Over the past decade, two approaches have been used for multimodality fusion: Software based image registration and hybrid scanners such as PET-CT, PET-MRI, and SPECT-CT among others. While there are intrinsic limitations with both approaches, the main obstacle to the seamless fusion of multiple imaging modalities has been the bulkiness of each individual imager and the conflict of their physical (especially spatial) requirements. To address this challenge, omni-tomography is now unveiled as an emerging direction for biomedical imaging and systems biomedicine.", "link"=>"http://www.mendeley.com/research/towards-omnitomographygrand-fusion-multiple-modalities-simultaneous-interior-tomography", "reader_count"=>36, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>11, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>3, "Student > Master"=>4, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>11, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>3, "Student > Master"=>4, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>10, "Unspecified"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>4, "Agricultural and Biological Sciences"=>5, "Physics and Astronomy"=>9, "Chemistry"=>1, "Computer Science"=>5}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>10}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Chemistry"=>{"Chemistry"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>9}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Computer Science"=>{"Computer Science"=>5}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"United States"=>1, "Denmark"=>2, "Brazil"=>1, "United Kingdom"=>1, "France"=>1}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/615419"], "description"=>"<p>It is an integrated surgical and interventional environment as the translational test bed of the National Center for Image-Guided Therapy (NCIGT) at the Brigham and Women’s Hospital (BWH) and Harvard Medical School (from <a href=\"http://www.ncigt.org/pages/AMIGO\" target=\"_blank\">http://www.ncigt.org/pages/AMIGO</a>, with the legends added by the authors of this paper).</p>", "links"=>[], "tags"=>["multimodality", "guided", "unveiled"], "article_id"=>285901, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g002", "stats"=>{"downloads"=>11, "page_views"=>172, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Advanced_Multimodality_Image_Guided_Operating_AMIGO_Suite_unveiled_on_May_4_2011_/285901", "title"=>"Advanced Multimodality Image Guided Operating (AMIGO) Suite unveiled on May 4, 2011.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:38:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/615889"], "description"=>"<p>The pair of green magnetic rings is arranged similar to that in the Fonar UPRIGHT Multi-Position MRI (<a href=\"http://www.fonar.com/standup.htm\" target=\"_blank\">http://www.fonar.com/standup.htm</a>) but with a decreased spatial extent of a homogeneous magnetic background field and thus an increased gantry room for interior CT, interior SPECT, and other modalities. This design is scalable according to preferred sizes of animals or humans.</p>", "links"=>[], "tags"=>["genetics and genomics", "biotechnology", "computer science", "physics", "mathematics", "radiology and medical imaging"], "article_id"=>286366, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g005", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Double_magnetic_donut_based_design_for_omni_tomography_/286366", "title"=>"Double-magnetic-donut-based design for omni-tomography.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:46:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/615752"], "description"=>"<p>(a) The magnetic flux from four permanent blocks. The square area (20×20 cm<sup>2</sup>) represents a region of interest (ROI) where the magnetic flux ranges from 0.208 to 0.211Tesla; (b) and (c) the magnetic flux plots along the x- and y-axes respectively. Each magnetic block is of 40×40×20 cm<sup>3</sup>, with a gap of 2 cm between two parts of each magnetic pole.</p>", "links"=>[], "tags"=>["locally", "homogeneous"], "article_id"=>286235, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g004", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Generation_of_a_locally_homogeneous_magnetic_field_/286235", "title"=>"Generation of a locally homogeneous magnetic field.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:43:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/615317"], "description"=>"<p>(a) The AnyScan system for clinical PET-SPECT-CT, and (b) the Albira system for preclinical PET-SPECT-CT ((a) and (b) from <a href=\"http://www.mediso.de/anyscan-sc.html\" target=\"_blank\">http://www.mediso.de/anyscan-sc.html</a> and <a href=\"http://www.cmi-marketing.com/7modalities\" target=\"_blank\">http://www.cmi-marketing.com/7modalities</a> respectively, with the legends added by the authors of this article).</p>", "links"=>[], "tags"=>["tri-modality", "fusion"], "article_id"=>285799, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g001", "stats"=>{"downloads"=>2, "page_views"=>25, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_State_of_the_art_tri_modality_fusion_systems_/285799", "title"=>"State-of-the-art tri-modality fusion systems.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:36:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/616057"], "description"=>"<p>(a) The reference image reconstructed from global projections using the conventional filtered backprojection (FBP) method, (b) a magnified interior cardiac region, (c) and (d) the interior reconstructions from truncated local projections after 10 and 20 iterations, respectively. (e) and (f) The profiles along the horizontal and vertical white lines respectively in (b)–(d), where the thick lines on the horizontal axes indicate the ROI. The display window for (a)–(d) is [−1000, 1000] HU.</p>", "links"=>[], "tags"=>["ct", "reconstruction", "cardiac", "dataset", "ge", "ct750", "hd"], "article_id"=>286534, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g006", "stats"=>{"downloads"=>1, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Interior_CT_reconstruction_of_a_cardiac_region_from_a_clinical_patient_dataset_collected_on_a_GE_Discovery_CT750_HD_scanner_/286534", "title"=>"Interior CT reconstruction of a cardiac region from a clinical patient dataset collected on a GE Discovery CT750 HD scanner.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:48:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/616305"], "description"=>"<p>The top row (a)–(c) is from fully sampled data (100%), and the bottom row (d)–(f) is from randomly under-sampled data (25%) along the phase-encoding direction. The first column (a) and (d) is by the inverse fast Fourier transform (IFFT), the second column (b) and (e) by the TV minimization from global MR data, and the third column (c) and (f) by the TV minimization from interior MRI data.</p>", "links"=>[], "tags"=>["mri", "reconstruction", "cardiac"], "article_id"=>286787, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g008", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Interior_MRI_reconstruction_of_a_cardiac_image_phantom_/286787", "title"=>"Interior MRI reconstruction of a cardiac image phantom.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:53:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/616485"], "description"=>"<p>An MRI-CT head scan consisted of MR T1 (the 1<sup>st</sup> column), T2 (the 2<sup>nd</sup> column), proton density images (the 3<sup>rd</sup> column), and a CT image (the 4<sup>th</sup> column). The top row shows the phantom images, the middle row the images separately reconstructed using the conventional FFT or FBP method, and the bottom row the images simultaneously reconstructed in the unified rank-sparsity decomposition framework.</p>", "links"=>[], "tags"=>["ct-mri", "reconstruction", "inter-modality"], "article_id"=>286961, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g009", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Unified_CT_MRI_reconstruction_using_inter_modality_coherence_/286961", "title"=>"Unified CT-MRI reconstruction using inter-modality coherence.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:56:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/616170"], "description"=>"<p>(a) An original SPECT ROI image of 128×128 pixels covering an area of 12.8×12.8 cm<sup>2</sup>, (b) an interior reconstruction using the HOT minimization algorithm with the attenuation background µ<sub>0</sub> = 0.15 after 40 iterations, (c) and (d) the pseudo-color counterparts of (a) and (b) respectively. (e) and (f) The profiles along the horizontal and vertical white lines respectively in (a) and (b), where the thick lines on the horizontal axes indicate the ROI. The display window for (a) and (b) is [0, 1.0] in a normalized unit.</p>", "links"=>[], "tags"=>["spect", "reconstruction", "cardiac"], "article_id"=>286653, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g007", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Interior_SPECT_reconstruction_of_a_cardiac_phantom_/286653", "title"=>"Interior SPECT reconstruction of a cardiac phantom.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:50:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/320909"], "description"=>"<div><p>We recently elevated interior tomography from its origin in computed tomography (CT) to a general tomographic principle, and proved its validity for other tomographic modalities including SPECT, MRI, and others. Here we propose “omni-tomography”, a novel concept for the grand fusion of multiple tomographic modalities for simultaneous data acquisition in a region of interest (ROI). Omni-tomography can be instrumental when physiological processes under investigation are multi-dimensional, multi-scale, multi-temporal and multi-parametric. Both preclinical and clinical studies now depend on <em>in vivo</em> tomography, often requiring separate evaluations by different imaging modalities. Over the past decade, two approaches have been used for multimodality fusion: Software based image registration and hybrid scanners such as PET-CT, PET-MRI, and SPECT-CT among others. While there are intrinsic limitations with both approaches, the main obstacle to the seamless fusion of multiple imaging modalities has been the bulkiness of each individual imager and the conflict of their physical (especially spatial) requirements. To address this challenge, omni-tomography is now unveiled as an emerging direction for biomedical imaging and systems biomedicine.</p> </div>", "links"=>[], "tags"=>["fusion", "modalities", "simultaneous", "tomography"], "article_id"=>123323, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700", "stats"=>{"downloads"=>5, "page_views"=>44, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Towards_Omni_Tomography_Grand_Fusion_of_Multiple_Modalities_for_Simultaneous_Interior_Tomography/123323", "title"=>"Towards Omni-Tomography—Grand Fusion of Multiple Modalities for Simultaneous Interior Tomography", "pos_in_sequence"=>0, "defined_type"=>2, "published_date"=>"2012-06-29 00:55:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/615576"], "description"=>"<p>(a) A 3D rendering of the top-level design, (b) a partial rendering, (c) an in-plane view, and (d) a through-plane view. There are two static rings and one rotating ring for omni-tomography. While the red C-arm is a permanent magnet and the yellow outer ring contains PET crystals, the blue ring supports a CT tube, a CT detector and a pair of SPECT camera. The blue CT-SPECT ring is on a green slip ring (like a large ball bearing) as the interface for power and data. The CT-SPECT ring, the slip-ring, and the PET ring all go through the magnetic poles.</p>", "links"=>[], "tags"=>["genetics and genomics", "biotechnology", "computer science", "physics", "mathematics", "radiology and medical imaging"], "article_id"=>286053, "categories"=>["Cell Biology", "Physics", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Genetics"], "users"=>["Ge Wang", "Jie Zhang", "Hao Gao", "Victor Weir", "Hengyong Yu", "Wenxiang Cong", "Xiaochen Xu", "Haiou Shen", "James Bennett", "Mark Furth", "Yue Wang", "Michael Vannier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039700.g003", "stats"=>{"downloads"=>4, "page_views"=>62, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ring_shaped_design_for_omni_tomography_/286053", "title"=>"Ring-shaped design for omni-tomography.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-29 01:40:53"}

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Relative Metric

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