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Книги з теми "Imaging methodologies"

Автор: Grafiati

Опубліковано: 19 жовтня 2024

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1

K, Pal Sankar, and Peters James F, eds. Rough fuzzy image analysis: Foundations and methodologies. Boca Raton: Taylor & Francis, 2010.

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2

El-Baz, Ayman S. Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 1. Boston, MA: Springer Science+Business Media, LLC, 2011.

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3

El-Baz, Ayman S. Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume II. New York, NY: Springer Science+Business Media, LLC, 2011.

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4

Kramer, Sharlotte L. B., and Rachael Tighe, eds. Thermomechanics & Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive & Advanced Manufactured Materials, Volume 7. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59864-8.

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5

Tighe, Rachael C., John Considine, Sharlotte L. B. Kramer, and Tom Berfield, eds. Thermomechanics & Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive & Advanced Manufactured Materials, Volume 6. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17475-9.

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6

Feng, Dong, Ghinea Gheorghita, and Chen Sherry Y, eds. User centered design for medical visualization. Hershey: Medical Information Science Reference, 2008.

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7

Kramer, Sharlotte L. B., Rachael Tighe, Ming-Tzer Lin, Cosme Furlong, and Chi-Hung Hwang, eds. Thermomechanics & Infrared Imaging, Inverse Problem Methodologies, Mechanics of Additive & Advanced Manufactured Materials, and Advancements in Optical Methods & Digital Image Correlation, Volume 4. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86745-4.

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8

Camara, Oscar. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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9

Hillmer, Ansel T., Kelly P. Cosgrove, and Richard E. Carson. PET Brain Imaging Methodologies. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0009.

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While quantitative and pharmacologically specific aspects distinguish molecular imaging, they also impose the need for considerable expertise to design, conduct, and analyze molecular imaging studies. Positron emission tomography (PET) brain imaging provides a powerful noninvasive tool for quantitative and pharmacologically specific clinical research. This chapter describes basic methodological considerations for PET brain imaging studies. First the physiological interpretation of the most common outcome measures of binding potential (BPND) and volume of distribution (VT) are described. Next, aspects of acquisition of PET imaging data and blood measurements for analysis are discussed, followed by a summary of standard data analysis techniques. Finally, various applications for the study of mental illness, including group differences, measurements of drug occupancy, and assay of acute neurotransmitter release are discussed.

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10

Management, Information Resources. Medical Imaging: Concepts, Methodologies, Tools, and Applications. IGI Global, 2016.

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11

Handbook of Biomedical Imaging: Methodologies and Clinical Research. Springer, 2016.

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12

Constantinides, Christakis. Protocols and Methodologies in Basic Science and Clinical Cardiac MRI. Springer, 2017.

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13

Constantinides, Christakis. Protocols and Methodologies in Basic Science and Clinical Cardiac MRI. Springer, 2018.

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14

Association, Information Resources Management. Biomedical Engineering: Concepts, Methodologies, Tools, and Applications. IGI Global, 2019.

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15

Peters, James F., and Sankar K. Pal. Rough Fuzzy Image Analysis: Foundations and Methodologies. Taylor & Francis Group, 2010.

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16

Association, Information Reso Management. Medical Imaging: Concepts, Methodologies, Tools, and Applications, VOL 1. IGI Global, 2016.

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17

Association, Information Reso Management. Medical Imaging: Concepts, Methodologies, Tools, and Applications, VOL 2. IGI Global, 2016.

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18

Association, Information Reso Management. Medical Imaging: Concepts, Methodologies, Tools, and Applications, VOL 4. IGI Global, 2016.

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19

Association, Information Reso Management. Medical Imaging: Concepts, Methodologies, Tools, and Applications, VOL 3. IGI Global, 2016.

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20

Pal, Sankar K. Rough Fuzzy Image Analysis: Foundations and Methodologies. Taylor & Francis Group, 2010.

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21

Peters, James F., and Sankar K. Pal. Rough Fuzzy Image Analysis: Foundations and Methodologies. Taylor & Francis Group, 2017.

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22

Peters, James F., and Sankar K. Pal. Rough Fuzzy Image Analysis: Foundations and Methodologies. Taylor & Francis Group, 2010.

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23

Handbook of Biomedical Imaging: Methodologies and Clinical Research (Lecture Notes in Computer Science 779). Springer, 2015.

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24

Bandettini, Peter A., and Hanzhang Lu. Magnetic Resonance Methodologies. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0008.

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Magnetic resonance imaging is a noninvasive tool for assessing brain anatomy, perfusion, metabolism, and function with precision. In this chapter, the basics and the most cutting edge examples of MRI-based measures are described. The first is measurement of cerebral perfusion, including the latest techniques involving spin-labelling as well as the tracking of exogenous contrast agents. Functional MRI is then discussed, along with some of the cutting edge methodology that has yet to make it into routine clinical practice. Next, resting state fMRI is described, a powerful technique whereby the entire brain connectivity can be established. Diffusion-based MRI techniques are useful for diagnosing brain trauma as well as understanding the structural connections in healthy and pathological brains. Spectroscopy is able to make spatially specific and metabolite-specific assessment of brain metabolism. The chapter ends with an overview of structural imaging with MRI, highlighting the developing field of morphometry and its potential for differentially assessing individual brains.

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25

Mirmehdi, Majid, Jasjit S. Suri, Ayman S. El-Baz, and Rajendra Acharya U. Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume 1. Springer, 2016.

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26

Suri, Jasjit S., Ayman S. El-Baz, Rajendra Acharya U, and Andrew F. Laine. Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volume II. Springer, 2016.

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27

Sitek, Arkadiusz. Statistical Computing in Nuclear Imaging. Taylor & Francis Group, 2021.

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28

Statistical Computing in Nuclear Imaging. Taylor & Francis Group, 2014.

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29

Sitek, Arkadiusz. Statistical Computing in Nuclear Imaging. Taylor & Francis Group, 2014.

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30

Sitek, Arkadiusz. Statistical Computing in Nuclear Imaging. Taylor & Francis Group, 2014.

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31

Sitek, Arkadiusz. Statistical Computing in Nuclear Imaging. Taylor & Francis Group, 2014.

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32

Young, Alistair, Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Springer, 2016.

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33

Young, Alistair, Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Springer, 2014.

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34

Kramer, Sharlotte L. B., and Rachael Tighe. Thermomechanics and Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive and Advanced Manufactured Materials, Volume 7: Proceedings of the 2020 Annual Conference on Experimental and Applied Mechanics. Springer International Publishing AG, 2022.

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35

Tighe, Rachael C., Tom Berfield, John Considine, and Sharlotte L. B. Kramer. Thermomechanics and Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive and Advanced Manufactured Materials, Volume 6: Proceedings of the 2022 Annual Conference on Experimental and Applied Mechanics. Springer International Publishing AG, 2022.

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36

Tighe, Rachel, and Sharlotte L. B. Kramer. Thermomechanics and Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive and Advanced Manufactured Materials , Volume 7: Proceedings of the 2020 Annual Conference on Experimental and Applied Mechanics. Springer International Publishing AG, 2021.

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37

Thermomechanics and Infrared Imaging, Inverse Problem Methodologies and Mechanics of Additive and Advanced Manufactured Materials, Volume 6: Proceedings of the 2022 Annual Conference on Experimental and Applied Mechanics. Springer International Publishing AG, 2024.

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38

Camara, Oscar, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Springer International Publishing AG, 2015.

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39

Camara, Oscar, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26, 2013. Revised Selected Papers. Springer London, Limited, 2014.

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40

Camara, Oscar, Tommaso Mansi, and Mihaela Pop. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in ... September 18, 2014, Revised Selected Papers. Springer, 2015.

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41

Camara, Oscar, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart : Imaging and Modelling Challenges: 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Springer London, Limited, 2014.

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42

Camara, Oscar, Mihaela Pop, Kawal Rhode, Maxime Sermesant, and E. Konukoglu. Statistical Atlases and Computational Models of the Heart : Imaging and Modelling Challenges: Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers. Springer, 2012.

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43

Camara, Oscar, Mihaela Pop, and E. Konukoglu. Statistical Atlases and Computational Models of the Heart : Imaging and Modelling Challenges: Second International Workshop, STACOM 2011, Held in ... September 22, 2011, Revised Selected Papers. Springer, 2012.

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44

Camara, Oscar, Tommaso Mansi, Mihaela Pop, Kawal Rhode, and Maxime Sermesant. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Springer London, Limited, 2016.

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45

Furlong, Cosme, Ming-Tzer Lin, Chi-Hung Hwang, Sharlotte L. B. Kramer, and Rachael Tighe. Thermomechanics and Infrared Imaging, Inverse Problem Methodologies, Mechanics of Additive and Advanced Manufactured Materials, and Advancements in Optical Methods and Digital Image Correlation, Volume 4: Proceedings of the 2021 Annual Conference on Experimental and Applied Mechanics. Springer International Publishing AG, 2021.

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46

Thermomechanics and Infrared Imaging, Inverse Problem Methodologies, Mechanics of Additive and Advanced Manufactured Materials, and Advancements in Optical Methods and Digital Image Correlation, Volume 4: Proceedings of the 2021 Annual Conference on Experimental and Applied Mechanics. Springer International Publishing AG, 2023.

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47

Cosyns, Bernard, Thor Edvardsen, Krasimira Hristova, and Hyung-Kwan Kim. Left ventricle: systolic function. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0020.

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The assessment of left ventricular (LV) systolic function is one of the most important parts of correct diagnosis, selection of treatment strategy or medications, and prediction of prognosis. Although cardiac magnetic resonance imaging is generally accepted as the gold standard in vivo imaging modality for assessing LV systolic function, its practical use is limited due to its limited availability, high cost, and the presence of conditions precluding its performance such as a pacemaker, claustrophobia, and severe arrhythmia. Thus, transthoracic echocardiography is a first-line imaging modality employed in daily practice and has been widely used. Since the first attempts with M-mode approach, remarkable improvements have been made with the advent of two-dimensional echocardiography, and more recently three-dimensional echocardiography, with high accuracy and reproducibility. More sophisticated methodologies such as strain imaging, based on Doppler or speckle tracking techniques, provide a more sensitive and quantitative measurement of myocardial contractility, and are gaining a place in common daily practice. This chapter describes different modalities that have been used for assessment of LV systolic function based on echocardiography, and is grossly composed of two parts: LV global systolic function and LV regional or segmental systolic function. For better application of these conventional and novel methods of assessing LV systolic function, strengths and pitfalls of these techniques should be acknowledged.

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48

Oshiro, Thomas, and Lawrence W. Bassett. An Overview of Digital Mammography Technology and MQSA Requirements. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0006.

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Understanding the fundamentals of mammographic imaging is essential for any practicing physician. The elements described in this section should serve as a brief review of how digital mammography systems acquire and generate images. Equipment including digital receptor design and technical factors to optimize the radiographic contrast and spatial resolution while reducing breast doses to lower levels are outlined. General image processing features as well as commonly encountered clinical artifacts will be reviewed. MQSA (Mammography Quality Standards Act) and ACR standards that define qualifications for personnel (interpreting physicians, radiologic technologists and medical physicists), minimum equipment performance characteristics and methodologies for routine quality control testing are summarized.

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49

Gonçalves, Alexandra, Pedro Marcos-Alberca, Peter Sogaard, and José Luis Zamorano. Assessment of systolic function. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0008.

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This chapter describes the different modalities for assessment of systolic function by transthoracic echocardiography. Firstly, the basic principles of physiology and the determinants of left ventricular (LV) performance are considered, followed by a systematic appraisal of the methodologies for global LV systolic function assessment. Starting with M-mode echocardiography, passing through the traditional two-dimensional echocardiography evaluation to three-dimensional echocardiography approaches, main strengths and limitations are described. Power Doppler usefulness, regarding stroke volume calculations and dP/dt measurement are summarily explained, taking into consideration the usual pitfalls found in daily practice. There is a section dedicated to regional systolic function evaluation, with the recommendations for standardized LV division and differential characteristics of wall motion abnormalities. Additionally, more recent approaches with tissue Doppler imaging and strain analyses for global and regional LV function assessment are described. Finally, a section is dedicated to right ventricle systolic function which describes all modalities of evaluation.

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50

Roberts, Timothy P. L., and Luke Bloy. Neuroimaging in Pediatric Psychiatric Disorders. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0060.

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Noninvasive imaging and electrophysiological techniques have been developed to probe specific aspects of brain function and dysfunction, providing exquisite spatial maps of functional centers and temporal characteristics. The evolution of these techniques has advanced from single-modality methods identifying functional localization, specialization and segregation, through real-time measures of neuronal activity, toward multimodality integration of structural, functional, and spectro-temporal approaches. While these have an immediate impact in conditions where physical brain lesions are evident (e.g., brain tumor and stroke), making a commensurate contribution within neuropsychiatry is more complex. Nonetheless, by combining concepts of morphology, neurochemistry, neural signal propagation, and regional connectivity, there appears to be ample opportunity to contribute not only to the diagnosis of patients with mental illness but to the stratification and subtyping across behavioral phenotypes and, ultimately, to patient management. Here we present an overview of the most common noninvasive neuroimaging methodologies and their applications to pediatric neurodevelopmental disorders.

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