Academic literature on the topic 'Computed tomography ; Cardiac imaging ; Cardiology'

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Journal articles on the topic "Computed tomography ; Cardiac imaging ; Cardiology"

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Mendoza, Dorinna D., Subodh B. Joshi, Gaby Weissman, Allen J. Taylor, and W. Guy Weigold. "Viability imaging by cardiac computed tomography." Journal of Cardiovascular Computed Tomography 4, no. 2 (March 2010): 83–91. http://dx.doi.org/10.1016/j.jcct.2010.01.019.

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Tsai, W. Kevin, Kathleen M. Holohan, and Kim Allan Williams. "Myocardial Perfusion Imaging from Echocardiography to SPECT, PET, CT and MRI – Recent Advances and Applications." European Cardiology Review 6, no. 1 (2010): 32. http://dx.doi.org/10.15420/ecr.2010.6.1.32.

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This article highlights recent advances in myocardial perfusion imaging in echocardiography, single-photon-emission computed tomography, positron-emission tomography, cardiac computed tomography and cardiac magnetic resonance imaging. The future of non-invasive cardiac imaging is trending towards comprehensive studies combining different modalities to evaluate both cardiac anatomy and its functional status.
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Gupta-Malhotra, Monesha, William Schaaf, and Shelby Kutty. "A Primer on Multimodal Imaging and Cardiology-Radiology Congenital Heart Interface." Children 6, no. 4 (April 23, 2019): 61. http://dx.doi.org/10.3390/children6040061.

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Pediatric cardiology imaging laboratories in the present day have several modalities for imaging of congenital and acquired cardiovascular disease. These modalities include echocardiography, cardiovascular magnetic resonance imaging, cardiac computed tomography and nuclear imaging. The utility and limitations of multimodal imaging is described herein along with a framework for establishing a cardiology-radiology interface.
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Coulden, Richard, and Martin J. Lipton. "Magnetic resonance imaging and ultrafast computed tomography in cardiac tomography." Current Opinion in Cardiology 7, no. 6 (December 1992): 1007–15. http://dx.doi.org/10.1097/00001573-199212000-00013.

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Nieman, Koen, Leslee J. Shaw, and Y. Chandrashekhar. "Cardiac Computed Tomography 2.0." JACC: Cardiovascular Imaging 11, no. 11 (November 2018): 1733–35. http://dx.doi.org/10.1016/j.jcmg.2018.10.002.

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Tian, Xu-Wei, Ai-Lin Ma, Ren-Bing Zhou, Liu-Jiang Jiang, Yue Hao, and Xiao-Guang Zou. "Advances in Cardiac Computed Tomography Functional Imaging Technology." Cardiology 145, no. 10 (2020): 615–22. http://dx.doi.org/10.1159/000505317.

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Cardiovascular disease (CVD) is the leading cause of death among patients in China, and cardiac computed tomography (CT) is one of the most commonly used examination methods for CVD. Coronary artery CT angiography can be used for the morphologic evaluation of the coronary artery. At present, cardiac CT functional imaging has become an important direction of development of CT. At present, common CT functional imaging technologies include transluminal attenuation gradient, stress dynamic CT myocardial perfusion imaging, and CT-fractional flow reserve. These three imaging modes are introduced and analyzed in this review.
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Gherardi, Guy G., Gareth R. Iball, Michael J. Darby, and John D. R. Thomson. "Cardiac computed tomography and conventional angiography in the diagnosis of congenital cardiac disease in children: recent trends and radiation doses." Cardiology in the Young 21, no. 6 (May 10, 2011): 616–22. http://dx.doi.org/10.1017/s1047951111000485.

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AbstractBackgroundThe use of imaging that employs ionising radiation is increasing in the setting of paediatric cardiology. Children's high radiosensitivity and the lack of contemporary radiation data warrant a review of the radiation doses from the latest “state-of-the-art” angiography and computed tomography systems.ObjectivesIn children aged less than 16 years with congenital cardiac disease, we aimed to report: recent trends in the use of diagnostic angiography and cardiac dual-source computed tomography; the characteristics, lesions, and imaging histories of patients undergoing these procedures; and the average radiation doses imparted by each modality.Study designRetrospective review of consecutive cases undergoing cardiac computed tomography or diagnostic angiography in a teaching hospital between January, 2008 and December, 2009. Radiation doses were converted to effective doses (millisievert) using published conversion factors.ResultsAngiography was performed 3.7 times more often than computed tomography. Computed tomography examinations increased by 92.5%, whereas angiography decreased by 26.4% in 2009 compared with 2008. Patients undergoing computed tomography were younger and weighed less than those undergoing angiography, but lesions were similar between the 2 groups. Multiple lifetime angiography was more prevalent than multiple lifetime computed tomography (p < 0.001). The median procedural dose – range – from angiography and computed tomography was 5 (0.2–27.8) and 1.7 (0.5–9.5) millisieverts, respectively (p < 0.001).ConclusionDespite not being completely analogous investigations, computed tomography should be considered prior to angiography and not withheld on radiation dose concerns, given that it imparts lower and more consistent doses than conventional angiography.
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Sijbrands, Eric J. G., Koen Nieman, and Matthew J. Budoff. "Cardiac computed tomography imaging in familial hypercholesterolaemia." Current Opinion in Lipidology 26, no. 6 (December 2015): 586–92. http://dx.doi.org/10.1097/mol.0000000000000249.

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Holt, William W., Ella Wong, and Martin Lipton. "Conventional and ultrafast cine-computed tomography in cardiac imaging." Current Opinion in Cardiology 4, no. 6 (December 1989): 870–78. http://dx.doi.org/10.1097/00001573-198912000-00017.

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Georgiou, Demetrios, and Bruce H. Brundage. "Conventional and ultrafast cine-computed tomography in cardiac imaging." Current Opinion in Cardiology 5, no. 6 (December 1990): 817–24. http://dx.doi.org/10.1097/00001573-199012000-00015.

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Dissertations / Theses on the topic "Computed tomography ; Cardiac imaging ; Cardiology"

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Clayton, Benjamin James. "Advanced applications of cardiac computed tomography for the difficult-to-image patient." Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/4188.

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Throughout the development of computed tomographic (CT) imaging the challenges of capturing the heart, with its perpetual, vigorous motion, and in particular the tiny detail within the coronary arteries, has driven technological progress. Today, CT is a widely used and rapidly growing modality for the investigation of coronary artery disease, as well as other cardiac pathology. However, limitations remain and particular patient groups present a significant challenge to the CT operator. This thesis adds new knowledge to the assessment of these difficult-to-image patients. It considers patients with artefact from coronary artery calcification or stents, examining the remarkable diagnostic performance of high definition scanning, as well as material subtraction techniques using dual energy CT, alongside ways in which current technology might be revisited and refined with the use of alternative image reconstruction methods. Patients with challenging heart rate or rhythm abnormalities are considered in three studies; how to achieve diagnostic image quality in atrial fibrillation, the safety of an aggressive approach to intravenous beta-blocker use prior to coronary imaging, and the development of patient information to address anxiety as a source of tachycardia and motion artefact. Finally, the novel application of a single source, dual energy CT scanner to additional cardiac information is considered, with studies of myocardial perfusion CT and delayed iodine enhancement imaging, to identify ways in which non-coronary imaging might be exploited to more thoroughly evaluate a patient’s coronary artery status. These findings are presented in the context of developing technology and together offer a range of potential options for operators of cardiac CT when faced with a difficult-to-image patient.
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Wang, Silun, and 王思倫. "Clinical applications of cardiac multi-detector computed tomography." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36944087.

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De, Geer Jakob. "On the use of computed tomography in cardiac imaging." Doctoral thesis, Linköpings universitet, Avdelningen för radiologiska vetenskaper, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128276.

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Background Cardiac Computed Tomography Angiography (CCTA) is becoming increasingly useful in the work‐up of coronary artery disease (CAD). Several potential methods for increasing the diagnostic yield of cardiac CT are available. Purpose Study I: To investigate whether the use of a 2‐D, non‐linear adaptive noise reduction filter can improve CCTA image quality. Study II: To evaluate the variation in adenosine stress dynamic CT perfusion (CTP) blood flow as compared to stress 99mTc SPECT. Secondly, to compare the perfusion results from manual and automatic myocardial CTP segmentation. Study III: To evaluate the accuracy of non‐invasive, CCTA‐derived Fractional Flow Reserve (cFFR). Study IV: To evaluate the prognostic value of CCTA in terms of major adverse cardiac events (MACE). Materials and methods Study I: Single images from 36 consecutive CCTA exams performed with two different dose levels were used. Image quality in full dose, low‐dose and noise‐reduced low‐dose images was graded using visual grading analysis. Image noise was measured. Study II: CTP and SPECT were performed in 17 patients, and the variation in per AHA‐segment blood flow was evaluated and compared. CTP results from manual and automated image segmentation were compared. Study III: CCTA datasets from 21 patients were processed using cFFR software and the results compared to the corresponding invasively measured FFR (invFFR). Study IV: 1205 consecutive patients with chest pain of unknown origin underwent CCTA. Baseline data and data on subsequent MACE were retrieved from relevant registries. Survival, hazard ratios and the three‐year incidence of cardiac events and readmissions were calculated. Results Study I: There was significant improvement in perceived image quality for all criteria when the filter was applied, and a significant decrease in image noise. Study II: The correlation coefficients for CTP vs. SPECT were 0.38 and 0.41 (p<0.001, for manual and automated segmentation respectively. Mean per patient CTP blood flow in normal segments varied between 94‐183 ml/100 ml tissue/min for manual segmentation, and 104‐196 ml/100 ml tissue/min for automated segmentation. The Spearman rank correlation coefficient for manual vs. automated segmentation CTP was ρ = 0.88 (p<0.001) and the Intraclass Correlation Coefficient (ICC) was 0.93 (p<0.001). Study III: The Spearman rank correlation coefficient for cFFR vs. invFFR was ρ = 0.77 (p<0.001) and the ICC was 0.73 (p<0.001). Sensitivity, specificity, positive predictive value and negative predictive value for significant stenosis (FFR<0.80, per vessel) were 0.83, 0.76, 0.56 and 0.93 respectively. Study IV: The hazard ratio for non‐obstructive CAD vs. normal coronary arteries was 5.13 (95% C.I 1.03‐25.43, p<0.05), and 151.40 (95% C.I 37.03‐619.08, p<0.001) for obstructive CAD vs. normal coronary arteries. The three‐year incidence of MACE was 1.1% for patients with normal vessels on CCTA, 2.5% for patients with non‐obstructive CAD and 42.7% for patients with obstructive CAD (p<0.001). Conclusions: Study I: Image quality and noise levels of low dose images were significantly improved with the filter, even though the improvement was small compared to the image quality of the corresponding diastolic full‐dose images. Study II: Correlation between dynamic CTP and SPECT was positive but weak. There were large variations in CTP blood flow in normal segments on SPECT, rendering the definition of an absolute cut‐off value for normal vs. ischemic myocardium difficult. Manual and automatic segmentation were equally useful. Study III: The correlation between cFFR and invFFR was good, indicating that noninvasively estimated cFFR performs on a similar level as invasively measure FFR. Study IV: The long‐term risk for MACE was very low in patients without obstructive CAD on CCTA, though there seemed to be a substantial increase in the risk for MACE even in patients with non‐obstructive CAD as compared to normal coronary arteries. In addition, even patients with normal coronary arteries or non‐obstructive CAD continued to have a substantial number of readmissions for chest pain or angina pectoris.
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Wajngot, David. "Improving Image Quality in Cardiac Computed Tomography using Deep Learning." Thesis, Linköpings universitet, Avdelningen för kardiovaskulär medicin, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154506.

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Cardiovascular diseases are the largest mortality factor globally, and early diagnosis is essential for a proper medical response. Cardiac computed tomography can be used to acquire images for their diagnosis, but without radiation dose reduction the radiation emitted to the patient becomes a significant risk factor. By reducing the dose, the image quality is often compromised, and determining a diagnosis becomes difficult. This project proposes image quality enhancement with deep learning. A cycle-consistent generative adversarial neural network was fed low- and high-quality images with the purpose to learn to translate between them. By using a cycle-consistency cost it was possible to train the network without paired data. With this method, a low-quality image acquired from a computed tomography scan with dose reduction could be enhanced in post processing. The results were mixed but showed an increase of ventricular contrast and artifact mitigation. The technique comes with several problems that are yet to be solved, such as structure alterations, but it shows promise for continued development.
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Mills, J. A. "Theory of longitudinal emission computed tomography and the practical application to cardiac imaging." Thesis, University of Warwick, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383293.

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Saulnier, Diane Christine. "Imaging of the Canine Heart Using Non ECG-Gated and ECG-Gated 64 Multidetector Computed Tomography." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/34046.

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ECG-gated multidetector computed tomography (MDCT) is an imaging modality widely utilized for the evaluation of cardiac pathology by physicians. However, there has been little research of cardiac MDCT imaging in veterinary patients. Presently, ECG-gating is an upgrade for MDCT, which few veterinary institutions currently possess. The purpose of this study was to compare image quality between a 16 non ECG-gated and 64 ECG-gated MDCT for clinically important cardiac anatomy in dogs. In a crossover trial, six dogs were scanned using 16 non ECG-gated and 64 ECG-gated MDCT. A standardized anesthetic protocol, designed to induce bradycardia (mean HR 45 bpm ± 12.6) was used. Five post-contrast sequential scans through the heart were performed for each patient when utilizing the 16 non ECG-gated MDCT, in attempt to obtain a motion free series of images of the heart. For each scan, assessment of cardiac morphology was performed by evaluating a group of 21 cardiac structures, using a 3-point scale. Each of the images were scored as 0 (motion present, scan non-diagnostic), 1 (motion present, scan diagnostic), and 2 (no motion, therefore diagnostic scan of high quality). Quality scores (QS) from all scans within a dog (30 scans total) were assigned for each cardiac structure. QS from the six ECG-gated MDCT scans were of high diagnostic quality, generating diagnostic images for all of the 21 cardiac structures evaluated for each of the 6 scans. Individual non ECG-gated scans were of variable quality, primarily generating QS of 1 or 2. A complete set of diagnostic images for all 21 structures was not achieved from an individual scan. Minimum number of non ECG-gated scans to identify a single structure was calculated, and ranged from 1-2 scans for all structures. Cumulative number of sequential non ECG-gated scans needed to achieve images of all cardiac structures was calculated and determined to be 5. A 16 non ECG-gated MDCT scanner can produce cardiac images that are similar in quality, to those of 64 ECG-gated MDCT. Cardiac motion negatively impacts image quality in studies acquired without ECG-gating. However, this can be overcome by performing multiple sequential scans through the heart.
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Pawade, Tania Ashwinikumar. "Imaging calcification in aortic stenosis." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/29589.

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BACKGROUND Aortic stenosis is a common and potentially fatal condition in which fibro-calcific changes within the valve leaflets lead to the obstruction of blood flow. Severe symptomatic stenosis is an indication for aortic valve replacement and timely referral is essential to prevent adverse clinical events. Calcification is believed to represent the central process driving disease progression. 18F-Fluoride positron emission tomography computed tomography (PET-CT) and CT aortic valve calcium scoring (CT-AVC) quantify calcification activity and burden respectively. The overarching aim of this thesis was to evaluate the applications of these techniques to the study and management of aortic stenosis. METHODS AND RESULTS REPRODUCIBILITY The scan-rescan reproducibility of 18F-fluoride PET-CT and CT-AVC were investigated in 15 patients with mild, moderate and severe aortic stenosis who underwent repeated 18F-fluoride PET-CT scans 3.9±3.3 weeks apart. Modified techniques enhanced image quality and facilitated clear localization of calcification activity. Percentage error was reduced from ±63% to ±10% (tissue-to-background ratio most-diseased segment (MDS) mean of 1.55, bias -0.05, limits of agreement - 0·20 to +0·11). Excellent scan-rescan reproducibility was also observed for CT-AVC scoring (mean of differences 2% [limits of agreement, 16 to -12%]). AORTIC VALVE CALCIUM SCORE: SINGLE CENTRE STUDY Sex-specific CT-AVC thresholds (2065 in men and 1271 in women) have been proposed as a flow-independent technique for diagnosing severe aortic stenosis. In a prospective cohort study, the impact of CT-AVC scores upon echocardiographic measures of severity, disease progression and aortic valve replacement (AVR)/death were examined. Volunteers (20 controls, 20 with aortic sclerosis, 25 with mild, 33 with moderate and 23 with severe aortic stenosis) underwent CT-AVC and echocardiography at baseline and again at either 1 or 2-year time-points. Women required less calcification than men for the same degree of stenosis (p < 0.001). Baseline CT-AVC measurements appeared to provide the best prediction of subsequent disease progression. After adjustment for age, sex, peak aortic jet velocity (Vmax) ≥ 4m/s and aortic valve area (AVA) < 1 cm2, the published CT-AVC thresholds were the only independent predictor of AVR/death (hazard ratio = 6.39, 95% confidence intervals, 2.90-14.05, p < 0.001). AORTIC VALVE CALCIUM SCORE: MULTICENTRE STUDY CT-AVC thresholds were next examined in an international multicenter registry incorporating a wide range of patient populations, scanner vendors and analysis platforms. Eight centres contributed data from 918 patients (age 77±10, 60% male, Vmax 3.88±0.90 m/s) who had undergone ECG-gated CT within 3 months of echocardiography. Of these 708 (77%) had concordant echocardiographic assessments, in whom our own optimum sex-specific CT-AVC thresholds (women 1377, men 2062 AU) were nearly identical to those previously published. These thresholds provided excellent discrimination for severe stenosis (c-statistic: women 0.92, men 0.88) and independently predicted AVR and death after adjustment for age, sex, Vmax ≥4 m/s and AVA < 1 cm2 (hazards ratio, 3.02 [95% confidence intervals, 1.83-4.99], p < 0.001). In patients with discordant echocardiographic assessments (n=210), CT-AVC thresholds predicted an adverse prognosis. BICUSPID AORTIC VALVES Within the multicentre study, higher continuity-derived estimates of aortic valve area were observed in patients with bicuspid valves (n=68, 1.07±0.35 cm) compared to those with tri-leaflet valves (0.89±0.36 cm p < 0.001,). This was despite no differences in measurements of Vmax (p=0.152), or CT-AVC scores (p=0.313). The accuracy of AVA measurments in bicuspid valves was therefore tested against alternative markers of disease severity. AVA measurements in bicuspid valves demonstrated extremely weak associations with CT-AVC scores (r2=0.08, p=0.02) and failed to correlate with downstream markers of disease severity in the valve and myocardium and against clinical outcomes. AVA measurements in bicuspid patients also failed to independently predict AVR/death after adjustment for Vmax ≥4 m/s, age and gender. In this population CT-AVC thresholds (women 1377, men 2062 AU) again provided excellent discrimination for severe stenosis. CONCLUSIONS Optimised 18F-fluoride PET-CT scans quantify and localise calcification activity, consolidating its potential as a biomarker or end-point in clinical trials of novel therapies. CT calcium scoring of aortic valves is a reproducible technique, which provides diagnostic clarity in addition to powerful prediction of disease progression and adverse clinical events.
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Kaniewska, Malwina [Verfasser]. "Noninvasive evaluation of cardiac function using Computed Tomography and Magnetic Resonance Imaging : a meta-analysis / Malwina Kaniewska." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2017. http://d-nb.info/1140486861/34.

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Taubmann, Oliver [Verfasser], Andreas [Akademischer Betreuer] Maier, and Andreas [Gutachter] Maier. "Dynamic Cardiac Chamber Imaging in C-arm Computed Tomography / Oliver Taubmann ; Gutachter: Andreas Maier ; Betreuer: Andreas Maier." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2018. http://d-nb.info/1159377383/34.

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Hostnik, Eric Travis. "Cross-Sectional Imaging of the English Bulldog: The Use of Computed Tomography for a Novel Approach to Quantify Upper Airway Disease and Multi-Detector Cardiac Angiography." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461104327.

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Books on the topic "Computed tomography ; Cardiac imaging ; Cardiology"

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Cardiac CT imaging: Diagnosis of cardiovascular disease. 2nd ed. Dordecht: Springer, 2010.

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Mills, John Alexander. Theory of longitudinal emission computed tomography and the practical application to cardiac imaging. [s.l.]: typescript, 1986.

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Fleming, Richard M. Establishing better standards of care in Doppler echocardiography, computed tomography and nuclear cardiology. Rijeka, Croatia: InTech, 2011.

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Nuclear cardiac imaging: Principles and applications. Philadelphia: Davis, 1987.

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Iskandrian, Ami E. Nuclear cardiac imaging: Principles and applications. 2nd ed. Philadelphia: F.A. David, 1996.

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service), SpringerLink (Online, ed. Coronary CT Angiography. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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Hendel, Robert C., and Gary V. Heller. Handbook of Nuclear Cardiology: Cardiac SPECT and Cardiac PET. Springer, 2012.

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Berman, Daniel S., E. Gordon DePuey, and Ernest V. Garcia. Cardiac SPECT Imaging. 2nd ed. Lippincott Williams & Wilkins, 2001.

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Gordon, DePuey E., Berman Daniel S. 1944-, and Garcia Ernest V, eds. Cardiac spect imaging. 2nd ed. Philadelphia: Lippincott Williams & Wilkins, 2001.

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Sabharwal, Nikant, Parthiban Arumugam, and Andrew Kelion. Introduction to nuclear cardiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198759942.003.0001.

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The cardiologist of the early twenty-first century takes for granted the wide range of imaging modalities at his/her disposal, but it was not always so. At the beginning of the 1970s, invasive cardiac catheterization was the only reliable cardiac imaging technique. Subsequently, nuclear cardiology investigations led the way in the non-invasive assessment of cardiac disease. This chapter covers the history of nuclear cardiology, including important milestones in the development of nuclear medicine. It details the relation of nuclear cardiology to other imaging modalities, covering the common imaging modalities used to evaluate left ventricular function and coronary artery disease, and the challenges of multislice X-ray computed tomography.
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Book chapters on the topic "Computed tomography ; Cardiac imaging ; Cardiology"

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Azemi, Talhat, Gary V. Heller, and Gary V. Heller. "Cardiac Computed Tomography Imaging." In Handbook of Nuclear Cardiology, 187–99. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2945-5_20.

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Datta, Jaydip. "Cardiac Applications of Multislice Computed Tomography." In Nuclear Cardiology and Correlative Imaging, 395–405. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4612-2038-1_15.

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van der Wall, Ernst Evert. "Cardiac single photon emission computed tomography: SPECT, a new aspect in myocardial imaging?" In Nuclear Cardiology and Cardiac Magnetic Resonance, 79–102. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2826-1_5.

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Thai, Wai-ee, Bryan Wai, and Quynh A. Truong. "Cardiac Noninvasive Imaging: Chest Radiography, Cardiovascular Magnetic Resonance and Computed Tomography of the Heart." In MGH Cardiology Board Review, 23–48. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4483-0_2.

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Osborne, Michael T., Vinit Baliyan, and Brian B. Ghoshhajra. "Cardiac Noninvasive Imaging: Chest Radiography, Cardiovascular Magnetic Resonance and Computed Tomography of the Heart." In MGH Cardiology Board Review, 31–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45792-1_3.

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Foldyna, Borek, Michael Lu, and Udo Hoffmann. "Cardiac Computed Tomography." In Contemporary Cardiology, 481–510. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97622-8_26.

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Budoff, Matthew J. "Computed Tomography." In Cardiac CT Imaging, 3–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28219-0_1.

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Fox, Arieh. "Cardiac Computed Tomography (CT)." In Cardiology Procedures, 97–103. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-7290-1_11.

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Budoff, Matthew J. "Computed Tomography: Overview." In Cardiac CT Imaging, 3–20. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-650-2_1.

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Grover, Maleah, and Heinrich R. Schelbert. "Positron emission computed tomography." In Digital Cardiac Imaging, 240–70. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-4996-6_14.

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Conference papers on the topic "Computed tomography ; Cardiac imaging ; Cardiology"

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Simon, A., M. Garreau, D. Boulmier, C. Toumoulin, and H. Le Breton. "Cardiac motion estimation in multislice computed tomography imaging using a 4D multiscale surface-volume matching process." In Computers in Cardiology, 2005. IEEE, 2005. http://dx.doi.org/10.1109/cic.2005.1588076.

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Schubert, S., S. Góreczny, J. Nordmeyer, P. Kramer, T. Kühne, E. Z. Jenny, G. Morgan, S. H. Kim, D. Paweł, and F. Berger. "Results from an International Multicenter Prospective Registry of Cardiac Catheterizations Guided with Fusion of Computed Tomography and Magnetic Resonance Imaging." In 52nd Annual Meeting of the German Society for Pediatric Cardiology. Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1705536.

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Saracino, G., R. Curtin, J. Hsing, N. Greenberg, B. Wilkoff, J. D. Thomas, and R. A. Grimm. "Co-registration of doppler tissue synchronization imaging and computer tomography with an application to pacing and cardiac resynchronization therapy." In 2007 34th Annual Computers in Cardiology Conference. IEEE, 2007. http://dx.doi.org/10.1109/cic.2007.4745409.

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Jiang, Liwei, Qiulin Tang, and Katsuyuki Taguchi. "Cardiac deformation indices derived from motion estimated x-ray computed tomography." In SPIE Medical Imaging, edited by Robert M. Nishikawa and Bruce R. Whiting. SPIE, 2013. http://dx.doi.org/10.1117/12.2008079.

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Chan, R. C., M. Ferencik, T. Wu, U. Hoffmann, T. J. Brady, and S. Achenbach. "Evaluation of arterial wall imaging with 16-slice multi-detector computed tomography." In Computers in Cardiology, 2003. IEEE, 2003. http://dx.doi.org/10.1109/cic.2003.1291242.

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Ecabert, Olivier, Jochen Peters, and Jürgen Weese. "Modeling shape variability for full heart segmentation in cardiac computed-tomography images." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2006. http://dx.doi.org/10.1117/12.652105.

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Zubarev, Stepan, Mikhail Chmelevsky, Margarita Budanova, Danila Potyagaylo, Maria Trukshina, Sergey Rud, Anton Ryzhkov, and Dmitriy Lebedev. "Noninvasive Electrocardiographic Imaging with Magnetic Resonance Tomography in Candidates for Cardiac Resynchronization Therapy." In 2019 Computing in Cardiology Conference. Computing in Cardiology, 2019. http://dx.doi.org/10.22489/cinc.2019.397.

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Po, Ming Jack, Monvadi Barbara Srichai, and Andrew F. Laine. "Quantitative detection of left ventricular dyssynchrony from cardiac computed tomography angiography." In 2011 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011). IEEE, 2011. http://dx.doi.org/10.1109/isbi.2011.5872643.

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Kidoh, Masafumi, Zeyang Shen, Yuki Suzuki, Luisa Ciuffo, Hiroshi Ashikaga, George S. K. Fung, Yoshito Otake, et al. "False dyssynchrony: problem with image-based cardiac functional analysis using x-ray computed tomography." In SPIE Medical Imaging, edited by Thomas G. Flohr, Joseph Y. Lo, and Taly Gilat Schmidt. SPIE, 2017. http://dx.doi.org/10.1117/12.2250257.

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Bruder, Herbert, Emilie Maguet, Karl Stierstorfer, and Thomas Flohr. "Cardiac spiral imaging in computed tomography without ECG using complementary projections for motion detection." In Medical Imaging 2003, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2003. http://dx.doi.org/10.1117/12.480390.

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