Image Fusion of Coronary Tree and Regional Cardiac Function Image Using Multislice Computed Tomography

Hara, Hiroshi; Mochizuki, Takashi; Haraikawa, Toyoaki; Kurata, Akira; Kido, Teruhiko; Nakata, Shigeru; Sugawara, Yumi; Miyagawa, Masao; Miki, Hitoshi; Koyama, Yasushi; Okayama, Hideki; Higaki, Jitsuo

doi:10.1253/circj.70.105

Cited by 15 publications

(9 citation statements)

References 14 publications

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“…This has allowed for integrated evaluation of left ventricular volume curves, ejection fraction, and regional systolic wall motion and thickening. Moreover, new paradigms are being developed which fuse data from a single CT examination representing a 3D functional map onto volume-rendered images of the heart and coronary arteries, which can provide a more comprehensive assessment of anatomy and physiology [37]. This fusion technique can be used to fuse multimodality physiologic data (e.g., from SPECT or cardiac MRI) with CT images from the same patient's heart and coronary arteries obtained during a separate examination [37].…”

Section: Myocardial Perfusionmentioning

confidence: 99%

“…Moreover, new paradigms are being developed which fuse data from a single CT examination representing a 3D functional map onto volume-rendered images of the heart and coronary arteries, which can provide a more comprehensive assessment of anatomy and physiology [37]. This fusion technique can be used to fuse multimodality physiologic data (e.g., from SPECT or cardiac MRI) with CT images from the same patient's heart and coronary arteries obtained during a separate examination [37]. As positron emission tomography (PET)-CT hybrid systems continue to evolve, there will undoubtedly be an increase in the clinical application of fusion imaging using data from CT coronary angiography and PET viability (Fig.…”

Section: Myocardial Perfusionmentioning

confidence: 99%

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History of cardiac computed tomography: single to 320-detector row multislice computed tomography

Hurlock

Hara

Mochizuki

2009

Int J Cardiovasc Imaging

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Since the introduction of computed tomography (CT) over 30 years ago, the challenge of imaging the beating heart has been a driving force in the innovation of cardiac CT. Imaging the anatomy and physiology of the heart demands temporal, spatial and contrast resolution is arguably greater than for any other organ system in the body. Great progress has been achieved in using CT to evaluate coronary artery stenosis and plaque composition. In addition, techniques to evaluate cardiac function, including myocardial perfusion, regional ventricular wall motion, systolic thickening, ejection fraction, valve function, and congenital cardiac abnormalities are also gaining a foothold in clinical practice as adjuncts to or replacements for invasive coronary angiography, cardiac single photon emission CT (SPECT) imaging, ultrasound and magnetic resonance imaging (MRI). This review summarizes the major accomplishments and future directions in this field, with emphasis on developments over the past 10 years.

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Section: Myocardial Perfusionmentioning

confidence: 99%

Section: Myocardial Perfusionmentioning

confidence: 99%

History of cardiac computed tomography: single to 320-detector row multislice computed tomography

Hurlock

Hara

Mochizuki

2009

Int J Cardiovasc Imaging

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“…This was thought to offer better understanding of the coronary artery anatomy and regional function [8].…”

Section: • Image Fusion In Coronary Imagingmentioning

confidence: 99%

Multimodality Medical Image Fusion: Applications in Congenital Cardiology

Narayan

Qureshi

2017

Future Cardiol.

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KEYWORDS• congenital cardiology • image fusion • image registration • medical image computing Image fusion: definition Image fusion consists of registering and visualizing different sets of images of a given object or scene. In medical disorders, pathology affects different tissues in a variable manner. These are best imaged in different modalities using diverse technologies. Image fusion helps to integrate all of the information and aids in accurate diagnosis and treatment. The implicit image fusion composed by the treating physician can be subjective and prone to error, which image fusion systems can help to mitigate. Medical image fusion is a very broad field covering aspects of computer vision, pattern recognition, machine learning and artificial intelligence in addition to image processing. Brief historyThe earliest mention of the word 'image fusion' in the clinical context was in 1992 by Swayne, who reported on computer-assisted fusion of single-photon emission computed tomographic (SPECT) and computed tomographic (CT) images in localizing inflammatory processes in 10 patients [1]. A combination of standard scaling, rotation, translation and stretching transformations were used to fuse images with anatomic and external landmarks. Stereotactic neurosurgery [2] was the next major application for image fusion, closely followed by oncology [3]. Rapid improvements in computers and their processing power led to increasing development and use of image fusion, particularly in imageguided surgery in a variety of medical specialties. The problems with software-based posthoc image fusion have led to the development of combined scanners, which acquire both anatomical and functional images during a single imaging session. This is achieved by fusing of technologies such as PET/CT scanner and PET/MRI scanner [4]. This also stimulated the development of co-location of complementary imaging modalities such

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“…By use of images from different modalities the diagnostic information can be improved. Typically, morphological images resulting from CT or MR are fused with functional images like radionuclide studies (Nicoletti et al, 1993;Wahl et al, 1994;Kagawa et al, 1997;Higashino et al, 2006;Vogel et al, 2005;Brix et al, 2005). In this study we use images from one CT examination at different time delays.…”

Section: Introductionmentioning

confidence: 99%

Usability of image fusion: optimal opacification of vessels and squamous cell carcinoma in CT scans

Wiltgen

Holzinger

Groell

et al. 2006

Elektrotech. Inftech.

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The purpose of this study was to evaluate the feasibility and usability of digital image fusion of different phases in spiral CT studies of the head and neck. Patients with squamous cell carcinomas underwent dual-phase spiral CT using a contrast material. The images of the early phase were showing optimal vascular enhancement. The images of the late phase were showing optimal tumor conspicuity. Selected images of the early phase were fused with selected images of the late phase by application of user-centered developed software. The image fusion was done in a semi-automatically way on a desktop computer (PC). The relationship between tumors and adjacent vessels was better visualized on the fused images than on the original source images. As a conclusion it can be emphasized, that digital image fusion of early and late phases enabled combined opacification of vessels and squamous cell carcinomas, which facilitated the topographic assessment of the tumors size and spread.Usability bei der Bildü berlagerung: optimale Darstellung von Gefä ßen und Karzinomen in CT-Bildern.Generell sind Radiologen sehr gut trainiert, verschiedene Bilder mental zu vergleichen; dennoch ist dieser mentale Vergleich nicht nur anstrengend, sondern auch schwierig. Aus diesem Grund wurde eine spezielle Software zur Bildü berlagerung entwickelt, die mittlerweile im Routinebetrieb eingesetzt wird. Die vorliegende Arbeit befasst sich mit Fragen der Usability bei der Kombination von durch Kontrastmittel verstä rkten Gefä ßbildern und Tumorbildern zur besseren und gleichzeitigen anatomischen Darstellung von Gefä ßen und so genannten ,,squamous cell-Karzinomen'' in der Hals-und Kopfregion. Bei einer zeitlichen Serie von CT-Aufnahmen einer Region wird ein Kontrastmittel injiziert. Bei den ersten Bildern der Serie werden so die Gefä ße optimal dargestellt. Bei den letzten Bildern der Serie ist das Kontrastmittel aus den Gefä ßen ausgetreten und wurde zum Teil von den Tumoren aufgenommen. Es wird jetzt jeweils ein Bild vom Anfang der Serie und ein Bild vom Ende der Serie durch Bildü berlagerung kombiniert. Ergebnis: Die computerunterstü tzte Bildü berlagerung liefert eine bessere anatomische Darstellung von Gefä ßen und (squamous cell-) Karzinomen in der Hals-und Kopfregion.

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Image Fusion of Coronary Tree and Regional Cardiac Function Image Using Multislice Computed Tomography

Cited by 15 publications

References 14 publications

History of cardiac computed tomography: single to 320-detector row multislice computed tomography

History of cardiac computed tomography: single to 320-detector row multislice computed tomography

Multimodality Medical Image Fusion: Applications in Congenital Cardiology

Usability of image fusion: optimal opacification of vessels and squamous cell carcinoma in CT scans

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