• Title/Summary/Keyword: Single-photon emission tomography

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Radioligands for Imaging Dopamine and Serotonin Receptors and Transporters (도파민과 세로토닌 운반체 및 수용체 영상을 위한 방사성리간드)

  • Chi, Dae-Yoon
    • The Korean Journal of Nuclear Medicine
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    • v.34 no.3
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    • pp.159-168
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    • 2000
  • In the 1980s, techniques to image the human subjects in a three-dimensional direction were developed. Two major techniques are SPECT (Single Photon Emission Computed Tomography) and PET (Positron Emission Tomography) which allow the detector to detect a single photon or annihilation photons emitted from the subjects injected with radiopharmaceuticals. Since the latter two techniques can measure the density of receptors, enzymes and transporters in living human, it may be very important project to develop selective methods of labeling with radionuclides and to develop new radiopharmaceuticals. There has been a considerable interest in developing new compounds which specifically bind to dopamine and serotonin receptor and transporters, and it will be thus very useful to label those compounds with radionuclides in order to gain a better understanding in biochemical and pharmacological interactions in living human. This review mentions the characteristics of radioligands for the imaging of dopamine and serotonin receptors and transporters. Although significant progress has been achieved in the development of new PET and SPECT ligands for in vivo imaging of those receptors and transporters, there are continuous needs of new diagnostic radioligands.

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Practical Approach for the Clinical Use of Dopamine Transporter Imaging (도파민 운반체 영상의 임상이용을 위한 실제적 접근)

  • Kim, Jae-Seung
    • Nuclear Medicine and Molecular Imaging
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    • v.42 no.6
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    • pp.425-434
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    • 2008
  • Dopamine transporter imaging is useful in the diagnosis of Parkinson's disease and the most successful technique in the clinical use of neuroreceptor imaging. Recently, several radiopharmaceuticals including I-123 FP-CIT, Tc-99m TRODAT, and F-18 FP-CIT for dopamine transporter imaging have been approved for the routine clinical use in several European countries, Taiwan and Korea, respectively. This review summarized the practical issue for the routine clinical examination of dopamine transporter imaging.

Correction of Single Photon Emission CT Image Distorted by Collimator Characteristic (시준기의 특성으로 인한 SPECT 왜곡 화상의 보정)

  • 백승권
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.1
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    • pp.18-24
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    • 2004
  • SPECT technology is used for the reconstructed image in the field of industry noncontact measurement system. One of the distortion problems in reconstructed image quality is a collimator characterictic. The image distortion is caused by a geometrical structure of the collimator. This paper indicated a correction method to remove the image distortion by the structure of the collimator, and compared with the existing correction method. The correction. method removed the image distortion to use deconvolution of projection data with the shift-variant blurring function in the frequency domain. In this pater, I simulated with the collimator angle and distance between the detector and the center of object. and verified with expeimental data. The validity and limitation of correction method is studied for actual industrial applications.

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Basic Physical Principles and Clinical Applications of Computed Tomography

  • Jung, Haijo
    • Progress in Medical Physics
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    • v.32 no.1
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    • pp.1-17
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    • 2021
  • The evolution of X-ray computed tomography (CT) has been based on the discovery of X-rays, the inception of the Radon transform, and the development of X-ray digital data acquisition systems and computer technology. Unlike conventional X-ray imaging (general radiography), CT reconstructs cross-sectional anatomical images of the internal structures according to X-ray attenuation coefficients (approximate tissue density) for almost every region in the body. This article reviews the essential physical principles and technical aspects of the CT scanner, including several notable evolutions in CT technology that resulted in the emergence of helical, multidetector, cone beam, portable, dual-energy, and phase-contrast CT, in integrated imaging modalities, such as positron-emission-tomography-CT and single-photon-emission-computed-tomography-CT, and in clinical applications, including image acquisition parameters, CT angiography, image adjustment, versatile image visualizations, volumetric/surface rendering on a computer workstation, radiation treatment planning, and target localization in radiotherapy. The understanding of CT characteristics will provide more effective and accurate patient care in the fields of diagnostics and radiotherapy, and can lead to the improvement of image quality and the optimization of exposure doses.

Functional Neuroimaging in Migraine (편두통의 기능적 뇌영상)

  • Kim, Ji Hyun
    • Annals of Clinical Neurophysiology
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    • v.10 no.1
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    • pp.13-24
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    • 2008
  • Functional neuroimaging, especially positron emission tomography (PET) and functional magnetic resonance imaging (MRI), is the main tool that allows the unveiling of the neurovascular events during a migraine attack. In migraine with aura, functional neuroimaging has contributed greatly to the understanding of the fundamental pathophysiology of the visual aura, whereas in migraine without aura, the PET findings of brainstem activation suggest a pivotal role of brainstem in the generation of migraine headache. In addition, voxel-based morphometry (VBM) method has provided an insight into the morphometric changes of the brain, which might be considered as a consequence of repeated migraine attacks. In this article, I will briefly discuss the main neuroimaging findings pertaining to the pathophysiology of migraine.

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Synthesis and Biodistribution of Cat's Eye-shaped [57Co]CoO@SiO2 Nanoshell Aqueous Colloids for Single Photon Emission Computed Tomography (SPECT) Imaging Agent

  • Kwon, Minjae;Park, Jeong Hoon;Jang, Beom-Su;Jung, Hyun
    • Bulletin of the Korean Chemical Society
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    • v.35 no.8
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    • pp.2367-2370
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    • 2014
  • "Cat's eye"-shaped $[^{57}Co]CoO@SiO_2$ core-shell nanostructure was prepared by the reverse microemulsion method combined with radioisotope technique to investigate a potential imaging agent for a single photon emission computed tomography (SPECT) in nuclear medicine. The core cobalt oxide nanorods were obtained by thermal decomposition of $Co-(oleate)_2$ precursor from radio isotope Co-57 containing cobalt chloride and sodium oleate. The $SiO_2$ coating on the surface of the core cobalt oxide nanorods was produced by hydrolysis and a condensation reaction of tetraethylorthosilicate (TEOS) in the water phase of the reverse microemulsion system. In vivo test, micro SPECT image was acquired with nude mice after 30 min of intravenous injection of $[^{57}Co]CoO@SiO_2$ core-shell nanostructure.

Preliminary study of artificial intelligence-based fuel-rod pattern analysis of low-quality tomographic image of fuel assembly

  • Seong, Saerom;Choi, Sehwan;Ahn, Jae Joon;Choi, Hyung-joo;Chung, Yong Hyun;You, Sei Hwan;Yeom, Yeon Soo;Choi, Hyun Joon;Min, Chul Hee
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3943-3948
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    • 2022
  • Single-photon emission computed tomography is one of the reliable pin-by-pin verification techniques for spent-fuel assemblies. One of the challenges with this technique is to increase the total fuel assembly verification speed while maintaining high verification accuracy. The aim of the present study, therefore, was to develop an artificial intelligence (AI) algorithm-based tomographic image analysis technique for partial-defect verification of fuel assemblies. With the Monte Carlo (MC) simulation technique, a tomographic image dataset consisting of 511 fuel-rod patterns of a 3 × 3 fuel assembly was generated, and with these images, the VGG16, GoogLeNet, and ResNet models were trained. According to an evaluation of these models for different training dataset sizes, the ResNet model showed 100% pattern estimation accuracy. And, based on the different tomographic image qualities, all of the models showed almost 100% pattern estimation accuracy, even for low-quality images with unrecognizable fuel patterns. This study verified that an AI model can be effectively employed for accurate and fast partial-defect verification of fuel assemblies.