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B-spline based free...
B-spline based free form deformation thoracic non-rigid registration of CT and PET images
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- Khodadad, Davood, 1985- (författare)
- Tehran University of Medical Science, Tehran, Islamic Republic of Iran
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- Ahmadian, Alireza (författare)
- Tehran University of Medical Science, Tehran, Islamic Republic of Iran
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- Ay, Mohammadreza (författare)
- Tehran University of Medical Science, Tehran, Islamic Republic of Iran
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- Esfahani, Armaghan Fard (författare)
- Tehran University of Medical Science, Tehran, Islamic Republic of Iran
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- Banaem, Hossein Yousefi (författare)
- Tehran University of Medical Science, Tehran, Islamic Republic of Iran
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- Zaidi, Habib (författare)
- Tehran University of Medical Science, Iran ; Geneva University Hospital, Switzerland
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(creator_code:org_t)
- SPIE - International Society for Optical Engineering, 2011
- 2011
- Engelska.
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Ingår i: International Conference on Graphic and Image Processing (ICGIP 2011). - : SPIE - International Society for Optical Engineering. ; 8285
- Relaterad länk:
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http://proceedings.s...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Accurate attenuation correction of emission data is mandatory for quantitative analysis of PET images. One of the main concerns in CT-based attenuation correction(CTAC) of PET data in multimodality PET/CT imaging is misalignment between PET and CT images. The aim of this study, is to proposed a hybrid method which is simple, fast and accurate, for registration of PET and CT data which affected from respiratory motion in order to improve the quality of CTAC. The algorithm is composed of three methods: First, using B-spline Free Form Deformation to describe both images and deformation field. Then applying a pre-filtering on both PET and CT images before segmentation of structures in order to reduce the respiratory related attenuation correction artifacts of PET emission data. In this approach, B-spline using FFD provide more accurate adaptive transformation to align the images, and structure constraints obtained from prefiltering applied to guide the algorithm to be more fast and accurate. Also it helps to reduce the radiation dose in PET/CT by avoiding repetition of CT imaging. These advances increase the potential of the method for routine clinical application.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Teknisk mekanik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Applied Mechanics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Mediateknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Media Engineering (hsv//eng)
Nyckelord
- Positron Emission Tomography (PET)
- Computed Tomography (CT)
- Registration
- thoracic
- attenuation correction
- B-spline
- Free Form Deformation (FFD)
- Experimentell mekanik
- Natural Science
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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