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Conte M, De Feo MS, Frantellizzi V, Di Rocco A, Farcomeni A, De Cristofaro F, Maria R, Pisani AR, Rubini G, De Vincentis G. Sex differences in 123I-mIBG scintigraphy imaging techniques in patients with heart failure. Expert Rev Med Devices 2023; 20:769-778. [PMID: 37466442 DOI: 10.1080/17434440.2023.2239139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/07/2023] [Accepted: 07/18/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND 123I-mIBG-scintigraphy could be a useful stratifying tool for patients with heart failure (HF). The purpose of this retrospective study is to evaluate whether there are differences between men and women with HF in terms of the prediction of cardiac arrhythmic events (AE). RESEARCH AND METHODS A total of 306 patients, before implantable-cardioverter-defibrillator (ICD) implantation, were evaluated. They underwent 123I-mIBG-scintigraphy and an evaluation of the results was performed after 85 months of follow-up. Early and late planar and SPECT cardiac images were acquired. Heart-to-mediastinum ratio (HM) for planar images and the sum of the segmental scores (SS) for SPECT were calculated. RESULTS In the general population, age, early SS (ESS), late SS (LSS), and ejection fraction (EF) were statistically significant for the prediction of AE at Cox regression, while early and late HM (eHM,lHM) were not significative for the prediction of AE. Population was divided into females and males and univariate analysis was conducted separately for the two cohorts: no significant variables for prediction of AE were found in females. For males, ESS, LSS, EF, and late HM were statistically significant predictors of AE. The overall survival was similar in males and females, but the risk of AE is lower in males than in females. CONCLUSIONS 123I-mIBG represents a more effective tool for the prediction of AE in male patients than in women.
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Affiliation(s)
- Miriam Conte
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza, "Sapienza" University of Rome, Rome Italy
| | - Maria Silvia De Feo
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza, "Sapienza" University of Rome, Rome Italy
| | - Viviana Frantellizzi
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza, "Sapienza" University of Rome, Rome Italy
| | - Arianna Di Rocco
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza, "Sapienza" University of Rome, Rome Italy
| | - Alessio Farcomeni
- Department of Economics & Finance, University of Rome "Tor Vergata", Rome, Italy
| | - Flaminia De Cristofaro
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza, "Sapienza" University of Rome, Rome Italy
| | - Ricci Maria
- Nuclear Medicine Unit, Cardarelli Hospital, Campobasso, Italy
| | | | - Giuseppe Rubini
- Nuclear Medicine Department, University of Bari "Aldo Moro", Bari, Italy
| | - Giuseppe De Vincentis
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza, "Sapienza" University of Rome, Rome Italy
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Xie H, Liu Z, Shi L, Greco K, Chen X, Zhou B, Feher A, Stendahl JC, Boutagy N, Kyriakides TC, Wang G, Sinusas AJ, Liu C. Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network. IEEE TRANSACTIONS ON MEDICAL IMAGING 2023; 42:1325-1336. [PMID: 36459599 PMCID: PMC10204821 DOI: 10.1109/tmi.2022.3226604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
In nuclear imaging, limited resolution causes partial volume effects (PVEs) that affect image sharpness and quantitative accuracy. Partial volume correction (PVC) methods incorporating high-resolution anatomical information from CT or MRI have been demonstrated to be effective. However, such anatomical-guided methods typically require tedious image registration and segmentation steps. Accurately segmented organ templates are also hard to obtain, particularly in cardiac SPECT imaging, due to the lack of hybrid SPECT/CT scanners with high-end CT and associated motion artifacts. Slight mis-registration/mis-segmentation would result in severe degradation in image quality after PVC. In this work, we develop a deep-learning-based method for fast cardiac SPECT PVC without anatomical information and associated organ segmentation. The proposed network involves a densely-connected multi-dimensional dynamic mechanism, allowing the convolutional kernels to be adapted based on the input images, even after the network is fully trained. Intramyocardial blood volume (IMBV) is introduced as an additional clinical-relevant loss function for network optimization. The proposed network demonstrated promising performance on 28 canine studies acquired on a GE Discovery NM/CT 570c dedicated cardiac SPECT scanner with a 64-slice CT using Technetium-99m-labeled red blood cells. This work showed that the proposed network with densely-connected dynamic mechanism produced superior results compared with the same network without such mechanism. Results also showed that the proposed network without anatomical information could produce images with statistically comparable IMBV measurements to the images generated by anatomical-guided PVC methods, which could be helpful in clinical translation.
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3
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Tzortzakakis A, Papathomas T, Gustafsson O, Gabrielson S, Trpkov K, Ekström-Ehn L, Arvanitis A, Holstensson M, Karlsson M, Kokaraki G, Axelsson R. 99mTc-Sestamibi SPECT/CT and histopathological features of oncocytic renal neoplasia. Scand J Urol 2022; 56:375-382. [PMID: 36065481 DOI: 10.1080/21681805.2022.2119273] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND 99mTc-Sestamibi Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) contributes to the non-invasive differentiation of renal oncocytoma (RO) from renal cell carcinoma (RCC) by characterising renal tumours as Sestamibi positive or Sestamibi negative regarding their 99mTc-Sestamibi uptake compared to the non-tumoral renal parenchyma. PURPOSE To determine whether 99mTc- Sestamibi uptake in renal tumour and the non-tumoral renal parenchyma measured using Standard Uptake Value (SUV) SPECT, has a beneficial role in differentiating RO from RCC. MATERIAL AND METHODS Fifty-seven renal tumours from 52 patients were evaluated. In addition to visual evaluation of 99mTc-Sestamibi uptake, SUVmax measurements were performed in the renal tumour and the ipsilateral non-tumoral renal parenchyma. Analysis of the area under the receiver operating characteristic curve identified an optimal cut-off value for detecting RO, based on the relative ratio of 99mTc- Sestamibi uptake. RESULTS Semiquantitative evaluation of 99mTc-Sestamibi uptake did not improve the performance of 99mTc- Sestamibi SPECT/CT in detecting RO. 99mTc- Sestamibi SPECT/CT identifies a group of mostly indolent Sestamibi-positive tumours with low malignant potential containing RO, Low-Grade Oncocytic Tumours, Hybrid Oncocytic Tumours, and a subset of chromophobe RCCs. CONCLUSION The imaging limitations for accurate differentiation of Sestamibi-positive renal tumours mirror the recognised diagnostic complexities of the histopathologic evaluation of oncocytic neoplasia. Patients with Sestamibi-positive renal tumours could be better suited for biopsy and follow-up, according to the current active surveillance protocols.
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Affiliation(s)
- Antonios Tzortzakakis
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Solna, Sweden.,Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Thomas Papathomas
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.,Gloucestershire Cellular Pathology Laboratory, Cheltenham General Hospital, Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, United Kingdom
| | - Ove Gustafsson
- Division of Urology, Karolinska University Hospital, Huddinge, Sweden
| | - Stefan Gabrielson
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Solna, Sweden.,Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Kiril Trpkov
- Department of Pathology and Laboratory Medicine, Alberta Precision Labs, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | | | - Alexandros Arvanitis
- Department of Clinical Pathology and Cytology, Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - Maria Holstensson
- Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden.,Division of Function and Technology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet
| | - Mattias Karlsson
- Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Georgia Kokaraki
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Solna, Sweden.,Department of Clinical Pathology and Cytology, Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - Rimma Axelsson
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Solna, Sweden.,Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden
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4
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Abstract
PURPOSE OF REVIEW This review presents the current state of imaging approaches that enable real-time molecular imaging in the interventional suite and discusses the potential future use of integrated nuclear imaging and fluoroscopy for intraprocedural guidance in the evaluation and treatment of both cardiovascular and oncological diseases. RECENT FINDINGS Although there are no commercially available real-time hybrid nuclear imaging devices that are approved for use in the interventional suite, prototype open gantry hybrid nuclear imaging and x-ray c-arm imaging systems and theranostic catheter for location radiotracer detection are currently undergoing development and testing by multiple groups. The integration of physiological and molecular targeted nuclear imaging for real-time delivery of targeted theranostics in the interventional laboratory may enable more personalized care for a wide variety of cardiovascular procedures and improve patient outcomes.
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5
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Zhang R, Wang M, Zhou Y, Wang S, Shen Y, Li N, Wang P, Tan J, Meng Z, Jia Q. Impacts of acquisition and reconstruction parameters on the absolute technetium quantification of the cadmium-zinc-telluride-based SPECT/CT system: a phantom study. EJNMMI Phys 2021; 8:66. [PMID: 34568990 PMCID: PMC8473509 DOI: 10.1186/s40658-021-00412-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 09/10/2021] [Indexed: 02/06/2023] Open
Abstract
Background The digital cadmium–zinc–telluride (CZT)-based SPECT system has many advantages, including better spatial and energy resolution. However, the impacts of different acquisition and reconstruction parameters on CZT SPECT quantification might still need to be validated. This study aimed to evaluate the impacts of acquisition parameters (the main energy window and acquisition time per frame) and reconstruction parameters (the number of iterations, subsets in iterative reconstruction, post-filter, and image correction methods) on the technetium quantification of CZT SPECT/CT. Methods A phantom (PET NEMA/IEC image quality, USA) was filled with four target-to-background (T/B) ratios (32:1, 16:1, 8:1, and 4:1) of technetium. Mean uptake values (the calculated mean concentrations for spheres) were measured to evaluate the recovery coefficient (RC) changes under different acquisition and reconstruction parameters. The corresponding standard deviations of mean uptake values were also measured to evaluate the quantification error. Image quality was evaluated using the National Electrical Manufacturers Association (NEMA) NU 2–2012 standard. Results For all T/B ratios, significant correlations were found between iterations and RCs (r = 0.62–0.96 for 1–35 iterations, r = 0.94–0.99 for 35–90 iterations) as well as between the full width at half maximum (FWHM) of the Gaussian filter and RCs (r = − 0.86 to − 1.00, all P values < 0.05). The regression coefficients of 1–35 iterations were higher than those of 35–90 iterations (0.51–1.60 vs. 0.02–0.19). RCs calculated with AC (attenuation correction) + SC (scatter correction) + RR (resolution recovery correction) combination were more accurate (53.82–106.70%) than those calculated with other combinations (all P values < 0.05). No significant statistical differences (all P values > 0.05) were found between the 15% and 20% energy windows except for the 32:1 T/B ratio (P value = 0.023) or between the 10 s/frame and 120 s/frame acquisition times except for the 4:1 T/B ratio (P value = 0.015) in terms of RCs. Conclusions CZT-SPECT/CT of technetium resulted in good quantification accuracy. The favourable acquisition parameters might be a 15% energy window and 40 s/frame of acquisition time. The favourable reconstruction parameters might be 35 iterations, 20 subsets, the AC + SC + RR correction combination, and no filter. Supplementary Information The online version contains supplementary material available at 10.1186/s40658-021-00412-4.
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Affiliation(s)
- Ruyi Zhang
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China
| | - Miao Wang
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China
| | - Yaqian Zhou
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China
| | - Shen Wang
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China
| | - Yiming Shen
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China
| | - Ning Li
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China
| | - Peng Wang
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China
| | - Jian Tan
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China
| | - Zhaowei Meng
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China.
| | - Qiang Jia
- Department of Nuclear Medicine, Tianjin Medical University General Hospital, Anshan Road No. 154, Heping District, Tianjin, 300052, People's Republic of China.
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6
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Investigation of the Scattering Influence on the Quality of Image Reconstruction in Single-Photon Emission Computed Tomography in a Proportional Scattering Medium. BIOMEDICAL ENGINEERING 2020. [DOI: 10.1007/s10527-020-09945-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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7
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Liu H, Wu J, Sun J, Wu T, Fazzone‐Chettiar R, Thorn S, Sinusas AJ, Liu Y. A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic
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Rb positron emission tomography. Med Phys 2019; 46:5002-5013. [DOI: 10.1002/mp.13783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 03/25/2019] [Accepted: 08/13/2019] [Indexed: 12/24/2022] Open
Affiliation(s)
- Hui Liu
- Department of Internal Medicine (Cardiology) Yale University New Haven CT 06520USA
| | - Jing Wu
- Department of Radiology and Biomedical Imaging Yale University New Haven CT 06520USA
| | - Jing‐Yi Sun
- Department of Biomedical Imaging and Radiological Sciences National Yang‐Ming University Taipei 11221Taiwan
| | - Tung‐Hsin Wu
- Department of Biomedical Imaging and Radiological Sciences National Yang‐Ming University Taipei 11221Taiwan
| | | | - Stephanie Thorn
- Department of Internal Medicine (Cardiology) Yale University New Haven CT 06520USA
| | - Albert J. Sinusas
- Department of Internal Medicine (Cardiology) Yale University New Haven CT 06520USA
| | - Yi‐Hwa Liu
- Department of Internal Medicine (Cardiology) Yale University New Haven CT 06520USA
- Department of Biomedical Imaging and Radiological Sciences National Yang‐Ming University Taipei 11221Taiwan
- Nuclear Cardiology, Heart and Vascular Center Yale New Haven Hospital New Haven CT 06520USA
- Department of Biomedical Engineering Chung Yuan Christian University Taoyuan 32023Taiwan
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8
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Boutagy NE, Feher A, Alkhalil I, Umoh N, Sinusas AJ. Molecular Imaging of the Heart. Compr Physiol 2019; 9:477-533. [PMID: 30873600 DOI: 10.1002/cphy.c180007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Multimodality cardiovascular imaging is routinely used to assess cardiac function, structure, and physiological parameters to facilitate the diagnosis, characterization, and phenotyping of numerous cardiovascular diseases (CVD), as well as allows for risk stratification and guidance in medical therapy decision-making. Although useful, these imaging strategies are unable to assess the underlying cellular and molecular processes that modulate pathophysiological changes. Over the last decade, there have been great advancements in imaging instrumentation and technology that have been paralleled by breakthroughs in probe development and image analysis. These advancements have been merged with discoveries in cellular/molecular cardiovascular biology to burgeon the field of cardiovascular molecular imaging. Cardiovascular molecular imaging aims to noninvasively detect and characterize underlying disease processes to facilitate early diagnosis, improve prognostication, and guide targeted therapy across the continuum of CVD. The most-widely used approaches for preclinical and clinical molecular imaging include radiotracers that allow for high-sensitivity in vivo detection and quantification of molecular processes with single photon emission computed tomography and positron emission tomography. This review will describe multimodality molecular imaging instrumentation along with established and novel molecular imaging targets and probes. We will highlight how molecular imaging has provided valuable insights in determining the underlying fundamental biology of a wide variety of CVDs, including: myocardial infarction, cardiac arrhythmias, and nonischemic and ischemic heart failure with reduced and preserved ejection fraction. In addition, the potential of molecular imaging to assist in the characterization and risk stratification of systemic diseases, such as amyloidosis and sarcoidosis will be discussed. © 2019 American Physiological Society. Compr Physiol 9:477-533, 2019.
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Affiliation(s)
- Nabil E Boutagy
- Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, Section of Cardiovascular Medicine, New Haven, Connecticut, USA
| | - Attila Feher
- Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, Section of Cardiovascular Medicine, New Haven, Connecticut, USA
| | - Imran Alkhalil
- Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, Section of Cardiovascular Medicine, New Haven, Connecticut, USA
| | - Nsini Umoh
- Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, Section of Cardiovascular Medicine, New Haven, Connecticut, USA
| | - Albert J Sinusas
- Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, Section of Cardiovascular Medicine, New Haven, Connecticut, USA.,Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, Connecticut, USA
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9
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Abstract
Cardiac SPECT continues to play a critical role in detecting and managing cardiovascular disease, in particularly coronary artery disease (CAD) (Jaarsma et al 2012 J. Am. Coll. Cardiol. 59 1719-28), (Agostini et al 2016 Eur. J. Nucl. Med. Mol. Imaging 43 2423-32). While conventional dual-head SPECT scanners using parallel-hole collimators and scintillation crystals with photomultiplier tubes are still the workhorse of cardiac SPECT, they have the limitations of low photon sensitivity (~130 count s-1 MBq-1), poor image resolution (~15 mm) (Imbert et al 2012 J. Nucl. Med. 53 1897-903), relatively long acquisition time, inefficient use of the detector, high radiation dose, etc. Recently our field observed an exciting growth of new developments of dedicated cardiac scanners and collimators, as well as novel imaging algorithms for quantitative cardiac SPECT. These developments have opened doors to new applications with potential clinical impact, including ultra-low-dose imaging, absolute quantification of myocardial blood flow (MBF) and coronary flow reserve (CFR), multi-radionuclide imaging, and improved image quality as a result of attenuation, scatter, motion, and partial volume corrections (PVCs). In this article, we review the recent advances in cardiac SPECT instrumentation and imaging methods. This review mainly focuses on the most recent developments published since 2012 and points to the future of cardiac SPECT from an imaging physics perspective.
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Affiliation(s)
- Jing Wu
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, United States of America
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10
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Chung KS, Nguyen PK. Non-invasive measures of coronary microcirculation: Taking the long road to the clinic. J Nucl Cardiol 2018; 25:2112-2115. [PMID: 28721646 PMCID: PMC6148395 DOI: 10.1007/s12350-017-0972-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 06/16/2017] [Indexed: 01/05/2023]
Abstract
Although coronary microvascular disease is now a well-recognized entity that is associated with significant morbidity and mortality, current non-invasive strategies cannot differentiate between coronary microvascular disease (CMD) and obstructive epicardial stenosis. While the evaluation of intramyocardial blood volume as a surrogate measure for microvascular health may have limited sensitivity in early-stage disease, this strategy does enable the diagnosis of CMD in the presence of concurrent epicardial disease, bringing us one step further toward improving the management of this disease. Herein, we discuss the advantages and limitations of current non-invasive measures of CMD and the need for further investment in bringing these technologies to the bedside.
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Affiliation(s)
- Kieran S Chung
- Cardiology Section, Veterans Affairs Palo Alto Health Care Administration, Palo Alto, CA, USA
| | - Patricia K Nguyen
- Cardiology Section, Veterans Affairs Palo Alto Health Care Administration, Palo Alto, CA, USA.
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, 300 Pasteur Drive, Grant Building S114, Stanford, CA, 94301, USA.
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11
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Wu J, Liu H, Hashemi Zonouz T, Sandoval VM, Mohy-ud-Din H, Lampert RJ, Sinusas AJ, Liu C, Liu YH. A blind deconvolution method incorporated with anatomical-based filtering for partial volume correction: Validations with 123
I-mIBG cardiac SPECT/CT. Med Phys 2017; 44:6435-6446. [DOI: 10.1002/mp.12622] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 09/28/2017] [Accepted: 10/04/2017] [Indexed: 01/08/2023] Open
Affiliation(s)
- Jing Wu
- Department of Radiology and Biomedical Imaging; Yale University; New Haven CT 06520 USA
| | - Hui Liu
- Department of Internal Medicine (Cardiology); Yale University; New Haven CT 06520 USA
| | | | | | - Hassan Mohy-ud-Din
- Department of Radiology and Biomedical Imaging; Yale University; New Haven CT 06520 USA
| | - Rachel J. Lampert
- Department of Internal Medicine (Cardiology); Yale University; New Haven CT 06520 USA
| | - Albert J. Sinusas
- Department of Radiology and Biomedical Imaging; Yale University; New Haven CT 06520 USA
- Department of Internal Medicine (Cardiology); Yale University; New Haven CT 06520 USA
| | - Chi Liu
- Department of Radiology and Biomedical Imaging; Yale University; New Haven CT 06520 USA
| | - Yi-Hwa Liu
- Department of Internal Medicine (Cardiology); Yale University; New Haven CT 06520 USA
- Department of Biomedical Imaging and Radiological Sciences; National Yang-Ming University; Taipei 100 Taiwan
- Department of Biomedical Engineering; Chung Yuan Christian University; Taoyuan 330 Taiwan
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12
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Liu Q, Mohy-Ud-Din H, Boutagy NE, Jiang M, Ren S, Stendahl JC, Sinusas AJ, Liu C. Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CT. Phys Med Biol 2017; 62:3944-3957. [PMID: 28266929 DOI: 10.1088/1361-6560/aa6520] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Anatomical-based partial volume correction (PVC) has been shown to improve image quality and quantitative accuracy in cardiac SPECT/CT. However, this method requires manual segmentation of various organs from contrast-enhanced computed tomography angiography (CTA) data. In order to achieve fully automatic CTA segmentation for clinical translation, we investigated the most common multi-atlas segmentation methods. We also modified the multi-atlas segmentation method by introducing a novel label fusion algorithm for multiple organ segmentation to eliminate overlap and gap voxels. To evaluate our proposed automatic segmentation, eight canine 99mTc-labeled red blood cell SPECT/CT datasets that incorporated PVC were analyzed, using the leave-one-out approach. The Dice similarity coefficient of each organ was computed. Compared to the conventional label fusion method, our proposed label fusion method effectively eliminated gaps and overlaps and improved the CTA segmentation accuracy. The anatomical-based PVC of cardiac SPECT images with automatic multi-atlas segmentation provided consistent image quality and quantitative estimation of intramyocardial blood volume, as compared to those derived using manual segmentation. In conclusion, our proposed automatic multi-atlas segmentation method of CTAs is feasible, practical, and facilitates anatomical-based PVC of cardiac SPECT/CT images.
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Affiliation(s)
- Qingyi Liu
- School of Information Science and Engineering, Shandong University, Jinan, Shandong 250100, People's Republic of China. Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, United States of America
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