1
|
Li L, Ding W, Huang L, Zhuang X, Grau V. Multi-modality cardiac image computing: A survey. Med Image Anal 2023; 88:102869. [PMID: 37384950 DOI: 10.1016/j.media.2023.102869] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 05/01/2023] [Accepted: 06/12/2023] [Indexed: 07/01/2023]
Abstract
Multi-modality cardiac imaging plays a key role in the management of patients with cardiovascular diseases. It allows a combination of complementary anatomical, morphological and functional information, increases diagnosis accuracy, and improves the efficacy of cardiovascular interventions and clinical outcomes. Fully-automated processing and quantitative analysis of multi-modality cardiac images could have a direct impact on clinical research and evidence-based patient management. However, these require overcoming significant challenges including inter-modality misalignment and finding optimal methods to integrate information from different modalities. This paper aims to provide a comprehensive review of multi-modality imaging in cardiology, the computing methods, the validation strategies, the related clinical workflows and future perspectives. For the computing methodologies, we have a favored focus on the three tasks, i.e., registration, fusion and segmentation, which generally involve multi-modality imaging data, either combining information from different modalities or transferring information across modalities. The review highlights that multi-modality cardiac imaging data has the potential of wide applicability in the clinic, such as trans-aortic valve implantation guidance, myocardial viability assessment, and catheter ablation therapy and its patient selection. Nevertheless, many challenges remain unsolved, such as missing modality, modality selection, combination of imaging and non-imaging data, and uniform analysis and representation of different modalities. There is also work to do in defining how the well-developed techniques fit in clinical workflows and how much additional and relevant information they introduce. These problems are likely to continue to be an active field of research and the questions to be answered in the future.
Collapse
Affiliation(s)
- Lei Li
- Department of Engineering Science, University of Oxford, Oxford, UK.
| | - Wangbin Ding
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
| | - Liqin Huang
- College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
| | - Xiahai Zhuang
- School of Data Science, Fudan University, Shanghai, China
| | - Vicente Grau
- Department of Engineering Science, University of Oxford, Oxford, UK
| |
Collapse
|
2
|
Al-Mallah MH, Bateman TM, Branch KR, Crean A, Gingold EL, Thompson RC, McKenney SE, Miller EJ, Murthy VL, Nieman K, Villines TC, Yester MV, Einstein AJ, Mahmarian JJ. 2022 ASNC/AAPM/SCCT/SNMMI guideline for the use of CT in hybrid nuclear/CT cardiac imaging. J Nucl Cardiol 2022; 29:3491-3535. [PMID: 36056224 DOI: 10.1007/s12350-022-03089-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 08/08/2022] [Indexed: 01/29/2023]
Affiliation(s)
- Mouaz H Al-Mallah
- Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA.
| | - Timothy M Bateman
- Department of Cardiology, Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Kelley R Branch
- Division of Cardiovascular, University of Washington, Seattle, WA, USA
| | - Andrew Crean
- Division of Cardiovascular Medicine, Ottawa Heart Institute, Ottawa, ON, Canada
| | - Eric L Gingold
- Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Randall C Thompson
- Department of Cardiology, Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Sarah E McKenney
- Department of Radiology, University of California, Davis Medical Center, Sacramento, CA, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Koen Nieman
- Departments of Cardiovascular Medicine and Radiology, Stanford University Medical Center, Stanford, CA, USA
| | - Todd C Villines
- Division of Cardiovascular Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Michael V Yester
- Department of Radiology, School of Medicine, University of Alabama Medical Center, Birmingham, AL, USA
| | - Andrew J Einstein
- Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA
| | - John J Mahmarian
- Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA
| |
Collapse
|
3
|
Piccinelli M, Dahiya N, Nye JA, Folks R, Cooke CD, Manatunga D, Hwang D, Paeng JC, Cho SG, Lee JM, Bom HS, Koo BK, Yezzi A, Garcia EV. Clinically viable myocardial CCTA segmentation for measuring vessel-specific myocardial blood flow from dynamic PET/CCTA hybrid fusion. Eur J Hybrid Imaging 2022; 6:4. [PMID: 35165793 PMCID: PMC8844325 DOI: 10.1186/s41824-021-00122-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 12/04/2021] [Indexed: 11/10/2022] Open
Abstract
Background Positron emission tomography (PET)-derived LV MBF quantification is usually measured in standard anatomical vascular territories potentially averaging flow from normally perfused tissue with those from areas with abnormal flow supply. Previously we reported on an image-based tool to noninvasively measure absolute myocardial blood flow at locations just below individual epicardial vessel to help guide revascularization. The aim of this work is to determine the robustness of vessel-specific flow measurements (MBFvs) extracted from the fusion of dynamic PET (dPET) with coronary computed tomography angiography (CCTA) myocardial segmentations, using flow measured from the fusion with CCTA manual segmentation as the reference standard. Methods Forty-three patients’ 13NH3 dPET, CCTA image datasets were used to measure the agreement of the MBFvs profiles after the fusion of dPET data with three CCTA anatomical models: (1) a manual model, (2) a fully automated segmented model and (3) a corrected model, where major inaccuracies in the automated segmentation were briefly edited. Pairwise accuracy of the normality/abnormality agreement of flow values along differently extracted vessels was determined by comparing, on a point-by-point basis, each vessel’s flow to corresponding vessels’ normal limits using Dice coefficients (DC) as the metric. Results Of the 43 patients CCTA fully automated mask models, 27 patients’ borders required manual correction before dPET/CCTA image fusion, but this editing process was brief (2–3 min) allowing a 100% success rate of extracting MBFvs in clinically acceptable times. In total, 124 vessels were analyzed after dPET fusion with the manual and corrected CCTA mask models yielding 2225 stress and 2122 rest flow values. Forty-seven vessels were analyzed after fusion with the fully automatic masks producing 840 stress and 825 rest flow samples. All DC coefficients computed globally or by territory were ≥ 0.93. No statistical differences were found in the normal/abnormal flow classifications between manual and corrected or manual and fully automated CCTA masks. Conclusion Fully automated and manually corrected myocardial CCTA segmentation provides anatomical masks in clinically acceptable times for vessel-specific myocardial blood flow measurements using dynamic PET/CCTA image fusion which are not significantly different in flow accuracy and within clinically acceptable processing times compared to fully manually segmented CCTA myocardial masks.
Collapse
|
4
|
Slomka PJ, Moody JB, Miller RJH, Renaud JM, Ficaro EP, Garcia EV. Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications. J Nucl Cardiol 2021; 28:115-127. [PMID: 33067750 DOI: 10.1007/s12350-020-02337-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 07/28/2020] [Indexed: 02/07/2023]
Abstract
Quantitative analysis has been applied extensively to image processing and interpretation in nuclear cardiology to improve disease diagnosis and risk stratification. This is Part 2 of a two-part continuing medical education article, which will review the potential clinical role for emerging quantitative analysis tools. The article will describe advanced methods for quantifying dyssynchrony, ventricular function and perfusion, and hybrid imaging analysis. This article discusses evolving methods to measure myocardial blood flow with positron emission tomography and single-photon emission computed tomography. Novel quantitative assessments of myocardial viability, microcalcification and in patients with cardiac sarcoidosis and cardiac amyloidosis will also be described. Lastly, we will review the potential role for artificial intelligence to improve image analysis, disease diagnosis, and risk prediction. The potential clinical role for all these novel techniques will be highlighted as well as methods to optimize their implementation.
Collapse
Affiliation(s)
- Piotr J Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| | | | - Robert J H Miller
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada
| | | | - Edward P Ficaro
- INVIA Medical Imaging Solutions, Ann Arbor, MI, USA
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Ernest V Garcia
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA
| |
Collapse
|
5
|
Slomka PJ, Moody JB, Miller RJH, Renaud JM, Ficaro EP, Garcia EV. Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications. J Nucl Med 2020; 62:168-176. [PMID: 33067339 DOI: 10.2967/jnumed.120.242537] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 07/28/2020] [Indexed: 01/15/2023] Open
Abstract
Quantitative analysis has been applied extensively to image processing and interpretation in nuclear cardiology to improve disease diagnosis and risk stratification. This is Part 2 of a two-part continuing medical education article, which will review the potential clinical role for emerging quantitative analysis tools. The article will describe advanced methods for quantifying dyssynchrony, ventricular function and perfusion, and hybrid imaging analysis. This article discusses evolving methods to measure myocardial blood flow with positron emission tomography and single-photon emission computed tomography. Novel quantitative assessments of myocardial viability, microcalcification and in patients with cardiac sarcoidosis and cardiac amyloidosis will also be described. Lastly, we will review the potential role for artificial intelligence to improve image analysis, disease diagnosis, and risk prediction. The potential clinical role for all these novel techniques will be highlighted as well as methods to optimize their implementation. (J Nucl Cardiol 2020).
Collapse
Affiliation(s)
- Piotr J Slomka
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | - Robert J H Miller
- Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA.,Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada
| | | | - Edward P Ficaro
- INVIA Medical Imaging Solutions, Ann Arbor, MI.,Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI; and
| | - Ernest V Garcia
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA
| |
Collapse
|
6
|
Piccinelli M, Cho SG, Garcia EV, Alexanderson E, Lee JM, Cooke CD, Goyal N, Sanchez MS, Folks RD, Chen Z, Votaw J, Koo BK, Bom HS. Vessel-specific quantification of absolute myocardial blood flow, myocardial flow reserve and relative flow reserve by means of fused dynamic 13NH 3 PET and CCTA: Ranges in a low-risk population and abnormality criteria. J Nucl Cardiol 2020; 27:1756-1769. [PMID: 30374847 PMCID: PMC6488439 DOI: 10.1007/s12350-018-01472-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 09/15/2018] [Indexed: 12/24/2022]
Abstract
OBJECTIVES The goal of the present work is to present a novel methodology for the extraction of MBF, MFR and RFR along coronary arteries by means of multimodality image fusion of dynamic PET and CCTA images. BACKGROUND FFR is the reference standard to identify flow-limiting lesions, but its invasiveness limits broad application. New noninvasive methodologies are warranted to stratify patients and guide treatment. METHODS A group of 16 low-risk CAD subjects who underwent both 13NH3 PET and CCTA were analyzed. Image fusion techniques were employed to align the studies and CCTA-derived anatomy used to identify coronaries trajectories. MBF was calculated by means of a 1-tissue compartmental model for the standard vascular territories and along patient-specific vessel paths from the base to the apex of the heart. RESULTS Low-risk ranges for MBF. MFR and RFR for LAD, LCX and rPDA were computed for the entire cohort and separated by gender. Computed low-risk ranges were used to assess a prospective patient with suspected CAD. CONCLUSIONS Our vessel-specific functional indexes and 3D displays offer promise to more closely replicate what is commonly performed during a catheterization session and have the potential of providing effective noninvasive tools for the identification of flow-limiting lesions and image-guided therapy.
Collapse
Affiliation(s)
- Marina Piccinelli
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 3032, USA.
| | - Sang-Geon Cho
- Department of Nuclear Medicine, Chonnam National University, Gwangju, Korea
| | - Ernest V Garcia
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 3032, USA
| | - Erick Alexanderson
- Nuclear Cardiology Department, Instituto Nacional de Cardiologia, Mexico City, Mexico
| | - Joo Myung Lee
- Heart Vascular Stroke Institute, Samsung Medical Center, Seoul, Korea
| | - C David Cooke
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 3032, USA
| | - Nikhil Goyal
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 3032, USA
| | | | - Russel D Folks
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 3032, USA
| | - Zhengjia Chen
- Department of Biostatistics & Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA
| | - John Votaw
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 3032, USA
| | - Bon-Kwon Koo
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea
| | - Hee-Seung Bom
- Department of Nuclear Medicine, Chonnam National University, Gwangju, Korea
| |
Collapse
|
7
|
Piccinelli M. Multimodality image fusion, moving forward. J Nucl Cardiol 2020; 27:973-975. [PMID: 30693427 PMCID: PMC6661216 DOI: 10.1007/s12350-019-01607-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 01/11/2019] [Indexed: 01/17/2023]
Affiliation(s)
- Marina Piccinelli
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
| |
Collapse
|
8
|
AlBadri A, Piccinelli M, Cho SG, Lee JM, Jaber W, De Cecco CN, Samady H, Koo BK, Bom HS, Garcia EV. Rationale and design of the quantification of myocardial blood flow using dynamic PET/CTA-fused imagery (DEMYSTIFY) to determine physiological significance of specific coronary lesions. J Nucl Cardiol 2020; 27:1030-1039. [PMID: 32026327 PMCID: PMC7332386 DOI: 10.1007/s12350-020-02052-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 01/13/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Coronary physiology assessments have been shown by multiple trials to add clinical value in detecting significant coronary artery disease and predicting cardiovascular outcomes. Fractional flow reserve (FFR) obtained during invasive coronary angiography (ICA) has become the new reference standard for hemodynamic significance detection. Absolute myocardial blood flow (MBF) quantification by means of dynamic positron emission tomography (dPET) has high diagnostic and prognostic values. FFR is an invasive measure and as such cannot be applied broadly, while MBF quantification is commonly performed on standard vascular territories intermixing normal flow from normal regions with abnormal flow from abnormal regions and consequently limiting its diagnostic power. OBJECTIVE The aim of this study is to provide physicians with reliable software tools for the non-invasive assessment of lesion-specific physiological significance for the entire coronary tree by combining PET-derived absolute flow data and coronary computed tomography angiography (CTA)-derived anatomy and coronary centerlines. METHODS The dynamic PET/CTA myocardial blood flow assessment with fused imagery (DEMYSTIFY) study is an observational prospective clinical study to develop algorithms and software tools to fuse coronary anatomy data obtained from CTA with dPET data to non-invasively measure absolute MBF, myocardial flow reserve, and relative flow reserve across specific coronary lesions. Patients (N = 108) will be collected from 4 institutions (Emory University Hospital, USA; Chonnam National University Hospital, South Korea; Samsung Medical Center, South Korea; Seoul National University Hospital, South Korea). These results will be compared to those obtained invasively in the catheterization laboratory and to a relatively novel non-invasive technique to estimate FFR based on CTA and computational fluid dynamics. CONCLUSIONS Success of these developments should lead to the following benefits: (1) eliminate unnecessary invasive coronary angiography in patients with no significant lesions, (2) avoid stenting physiologically insignificant lesions, (3) guide percutaneous coronary interventions process to the location of significant lesions, (4) provide a flow-color-coded 3D roadmap of the entire coronary tree to guide bypass surgery, and (5) use less radiation and lower the cost from unnecessary procedures. TRIAL REGISTRY The DEMYSTIFY study has been registered on ClinicalTrials.gov with registration number NCT04221594.
Collapse
Affiliation(s)
- Ahmed AlBadri
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Marina Piccinelli
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Sang-Geon Cho
- Department of Nuclear Medicine, Chonnam National University, Gwangju, Korea
| | - Joo Myung Lee
- Samsung Medical Center, Heart Vascular Stroke Institute, Seoul, Korea
| | - Wissam Jaber
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Carlo N De Cecco
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Habib Samady
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Bon-Kwon Koo
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea
| | - Hee-Seung Bom
- Department of Nuclear Medicine, Chonnam National University, Gwangju, Korea
| | - Ernest V Garcia
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
| |
Collapse
|
9
|
Iskandrian AE. Hybrid imaging and publishing. J Nucl Cardiol 2019; 26:693-695. [PMID: 30565064 DOI: 10.1007/s12350-018-01563-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 09/04/2018] [Indexed: 12/23/2022]
Affiliation(s)
- Ami E Iskandrian
- Division of Cardiovascular Diseases, Department of Medicine, University of Alabama at Birmingham, 318 LHRB, 1900 University BLVD, Birmingham, AL, 35294, USA.
| |
Collapse
|
10
|
AlJaroudi WA, Hage FG. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2018. Part 1 of 2: Positron emission tomography, computed tomography, and magnetic resonance. J Nucl Cardiol 2019; 26:524-535. [PMID: 30603892 DOI: 10.1007/s12350-018-01558-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 11/28/2018] [Indexed: 12/26/2022]
Abstract
In this review, we summarize key articles that have been published in the Journal of Nuclear Cardiology in 2018 pertaining to nuclear cardiology with advanced multi-modality and hybrid imaging including positron emission tomography, cardiac-computed tomography, and magnetic resonance. In an upcoming review, we will summarize key articles that relate to the progress made in the field of single-photon emission computed tomography. We hope that these sister reviews will be useful to the reader to navigate the literature in our field.
Collapse
Affiliation(s)
- Wael A AlJaroudi
- Division of Cardiovascular Medicine, Clemenceau Medical Center, Beirut, Lebanon
| | - Fadi G Hage
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, 306 Lyons-Harrison Research Building, 701 19th Street South, Birmingham, AL, 35294-0007, USA.
- Section of Cardiology, Birmingham Veterans Affairs Medical Center, Birmingham, AL, USA.
| |
Collapse
|
11
|
Slomka P. Hybrid quantitative imaging: Will it enter clinical practice? J Nucl Cardiol 2018; 25:1387-1389. [PMID: 28390041 DOI: 10.1007/s12350-017-0868-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 02/16/2017] [Indexed: 11/26/2022]
Affiliation(s)
- Piotr Slomka
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| |
Collapse
|
12
|
Piccinelli M, Cooke DC, Garcia EV. Multimodality Image Fusion for Coronary Artery Disease Detection: Concepts and Latest Developments. ACTA ACUST UNITED AC 2018; 4:74-78. [PMID: 31890460 DOI: 10.17996/anc.18-00065] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The debate on the role of anatomy and function in the assessment of coronary artery disease has been progressing for decades. While each imaging modality brings its own strengths and weaknesses, a multimodality image fusion approach combining an anatomical acquisition with a functional one has the potential of providing all the complementary information necessary to select the proper treatment. The technology has been available to physicians for a decade, but the recent introduction of positron emission tomography-derived absolute myocardial blood flow has further advanced the case for an image fusion diagnostic approach.
Collapse
Affiliation(s)
- Marina Piccinelli
- Department of Radiology and Imaging Science, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, Georgia, 30322, United States
| | - David C Cooke
- Department of Radiology and Imaging Science, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, Georgia, 30322, United States
| | - Ernest V Garcia
- Department of Radiology and Imaging Science, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, Georgia, 30322, United States
| |
Collapse
|