Description of a simultaneous emission-transmission CT system

Hasegawa, B.H.; Gingold, Eric L.; Reilly, Susan M.; Liew, Soo Chin; Cann, Christopher E.

doi:10.1117/12.18783

Cited by 67 publications

(39 citation statements)

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“…The resulting CT images then can be calibrated to produce a patient-specific map of linear attenuation coefficients calculated for the energy of the radionuclide photons. [21][22][23]29,34,[42][43][44] In this way, the CT data from a dual-modality imaging system facilitates, and in some ways simplifies, the process of correcting the radionuclide image for photon attenuation.…”

Section: Brief History Of Dual-modality Imagingmentioning

confidence: 99%

“…However these concepts were never reduced to practice or implemented in either an experimental or a clinical setting. 56 In late 1980's and early 1990's, Hasegawa et al 23,26,57,58 at the University of California, San Francisco, pioneered the development of dedicated emission/transmission imaging systems which could record both radionuclide and x-ray data for correlated functional/structural imaging. The first prototype, developed by Lang et al 26,58 used an array of HPGe detectors ( Figure 2) with sufficient energy discrimination and count-rate performance to discriminate g-rays emitted by an internally distributed radiopharmaceutical from x-rays transmitted through the body from an external x-ray source.…”

Section: Brief History Of Dual-modality Imagingmentioning

confidence: 99%

“…108 SPECT/CT systems with a small segmented high-purity germanium detector operated in pulse-counting mode for simultaneous x-ray and radionuclide imaging. 23,26,57,59 A clinical prototype SPECT/CT system ( Figure 4) also was configured at UCSF by installing a GE X/RT SPECT camera and GE 9800 CT scanner in tandem with a common patient table, 21,22,42,69 and was used for studies on both large animals and patients. The first dual-modality imaging system designed for routine clinical use was the Millennium VG ( Figure 10) introduced by General Electric Healthcare Technologies (Waukesha, WI) in 1999.…”

Section: Spect/ct Imaging Systemsmentioning

confidence: 99%

“…Several different CT-based attenuation correction techniques have been developed [21][22][23]29,34,[42][43][44] and are reviewed in chapter 6. As an example, the technique developed by Blankespoor et al 22,81 obtains CT calibration measurements from a phantom with cylindrical inserts containing water, fatequivalent (ethanol), and bone equivalent material (K 2 HPO 4 ).…”

Section: Brief History Of Dual-modality Imagingmentioning

confidence: 99%

“…16,17 With the goal of improving the correlation of different types of image data, other investigators have developed instrumentation which integrate both x-ray and radionuclide imaging is in a single device. 1,[21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] This technique, often called dual-modality imaging, can combine a PET or SPECT system with a CT scanner, using a common patient table, computer, and gantry so that both the x-ray and radionuclide image data are acquired sequentially without removing the patient from the scanner. This technique thereby produces anatomical and functional images with the patient in the same position and during a single procedure, which simplifies the image registration and fusion processes.…”

Section: Introductionmentioning

confidence: 99%

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Dual-Modality Imaging: More Than the Sum of its Components

Hasegawa

Zaidi

2006

Quantitative Analysis in Nuclear Medicine Imaging

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Section: Brief History Of Dual-modality Imagingmentioning

confidence: 99%

Section: Brief History Of Dual-modality Imagingmentioning

confidence: 99%

Section: Spect/ct Imaging Systemsmentioning

confidence: 99%

Section: Brief History Of Dual-modality Imagingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dual-Modality Imaging: More Than the Sum of its Components

Hasegawa

Zaidi

2006

Quantitative Analysis in Nuclear Medicine Imaging

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Multimodality imaging techniques

Martí‐Bonmatí¹,

Sopena²,

Bartumeus³

et al. 2010

Contrast Media & Molecular

127

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In multimodality imaging, the need to combine morphofunctional information can be approached by either acquiring images at different times (asynchronous), and fused them through digital image manipulation techniques or simultaneously acquiring images (synchronous) and merging them automatically. The asynchronous post-processing solution presents various constraints, mainly conditioned by the different positioning of the patient in the two scans acquired at different times in separated machines. The best solution to achieve consistency in time and space is obtained by the synchronous image acquisition. There are many multimodal technologies in molecular imaging. In this review we will focus on those multimodality image techniques more commonly used in the field of diagnostic imaging (SPECT-CT, PET-CT) and new developments (as PET-MR). The technological innovations and development of new tracers and smart probes are the main key points that will condition multimodality image and diagnostic imaging professionals' future. Although SPECT-CT and PET-CT are standard in most clinical scenarios, MR imaging has some advantages, providing excellent soft-tissue contrast and multidimensional functional, structural and morphological information. The next frontier is to develop efficient detectors and electronics systems capable of detecting two modality signals at the same time. Not only PET-MR but also MR-US or optic-PET will be introduced in clinical scenarios. Even more, MR diffusion-weighted, pharmacokinetic imaging, spectroscopy or functional BOLD imaging will merge with PET tracers to further increase molecular imaging as a relevant medical discipline. Multimodality imaging techniques will play a leading role in relevant clinical applications. The development of new diagnostic imaging research areas, mainly in the field of oncology, cardiology and neuropsychiatry, will impact the way medicine is performed today. Both clinical and experimental multimodality studies, in humans and animals, will have to demonstrate an efficient use of the imaging information provided by the modalities to affect the future of medical imaging.

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A survey on artificial intelligence in pulmonary imaging

Saha

Nadeem

Comellas

2023

WIREs Data Min & Knowl

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Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer vision and image recognition creating widespread opportunities of using artificial intelligence in research as well as industrial applications. DL has been extensively studied in medical imaging applications, including those related to pulmonary diseases. Chronic obstructive pulmonary disease, asthma, lung cancer, pneumonia, and, more recently, COVID‐19 are common lung diseases affecting nearly 7.4% of world population. Pulmonary imaging has been widely investigated toward improving our understanding of disease etiologies and early diagnosis and assessment of disease progression and clinical outcomes. DL has been broadly applied to solve various pulmonary image processing challenges including classification, recognition, registration, and segmentation. This article presents a survey of pulmonary diseases, roles of imaging in translational and clinical pulmonary research, and applications of different DL architectures and methods in pulmonary imaging with emphasis on DL‐based segmentation of major pulmonary anatomies such as lung volumes, lung lobes, pulmonary vessels, and airways as well as thoracic musculoskeletal anatomies related to pulmonary diseases.This article is categorized under: Application Areas > Health Care Technologies > Artificial Intelligence Technologies > Computational Intelligence Application Areas > Science and Technology

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Description of a simultaneous emission-transmission CT system

Cited by 67 publications

References 0 publications

Dual-Modality Imaging: More Than the Sum of its Components

Dual-Modality Imaging: More Than the Sum of its Components

Multimodality imaging techniques

A survey on artificial intelligence in pulmonary imaging

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