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New variants of a method of MRI scale standardization
One of the major drawbacks of magnetic resonance imaging (MRI) has been the lack of a standard and quantifiable interpretation of image intensities. Unlike in other modalities, such as X-ray computerized tomography, MR images taken for the same patient on the same scanner at different times may appe...
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Published in: | IEEE transactions on medical imaging 2000-02, Vol.19 (2), p.143-150 |
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description | One of the major drawbacks of magnetic resonance imaging (MRI) has been the lack of a standard and quantifiable interpretation of image intensities. Unlike in other modalities, such as X-ray computerized tomography, MR images taken for the same patient on the same scanner at different times may appear different from each other due to a variety of scanner-dependent variations and, therefore, the absolute intensity values do not have a fixed meaning. The authors have devised a two-step method wherein all images (independent of patients and the specific brand of the MR scanner used) can be transformed in such a may that for the same protocol and body region, in the transformed images similar intensities will have similar tissue meaning. Standardized images can be displayed with fixed windows without the need of per-case adjustment. More importantly, extraction of quantitative information about healthy organs or about abnormalities can be considerably simplified. This paper introduces and compares new variants of this standardizing method that can help to overcome some of the problems with the original method. |
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Unlike in other modalities, such as X-ray computerized tomography, MR images taken for the same patient on the same scanner at different times may appear different from each other due to a variety of scanner-dependent variations and, therefore, the absolute intensity values do not have a fixed meaning. The authors have devised a two-step method wherein all images (independent of patients and the specific brand of the MR scanner used) can be transformed in such a may that for the same protocol and body region, in the transformed images similar intensities will have similar tissue meaning. Standardized images can be displayed with fixed windows without the need of per-case adjustment. More importantly, extraction of quantitative information about healthy organs or about abnormalities can be considerably simplified. 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Unlike in other modalities, such as X-ray computerized tomography, MR images taken for the same patient on the same scanner at different times may appear different from each other due to a variety of scanner-dependent variations and, therefore, the absolute intensity values do not have a fixed meaning. The authors have devised a two-step method wherein all images (independent of patients and the specific brand of the MR scanner used) can be transformed in such a may that for the same protocol and body region, in the transformed images similar intensities will have similar tissue meaning. Standardized images can be displayed with fixed windows without the need of per-case adjustment. More importantly, extraction of quantitative information about healthy organs or about abnormalities can be considerably simplified. This paper introduces and compares new variants of this standardizing method that can help to overcome some of the problems with the original method.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Body regions</subject><subject>Brain - pathology</subject><subject>Computed tomography</subject><subject>Data mining</subject><subject>Displays</subject><subject>Humans</subject><subject>Image analysis</subject><subject>Image enhancement</subject><subject>Image Processing, Computer-Assisted</subject><subject>Image segmentation</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - standards</subject><subject>Mathematical transformations</subject><subject>Medical sciences</subject><subject>Miscellaneous. Technology</subject><subject>Multiple Sclerosis - pathology</subject><subject>Protocols</subject><subject>Radiodiagnosis. Nmr imagery. 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Technology</topic><topic>Multiple Sclerosis - pathology</topic><topic>Protocols</topic><topic>Radiodiagnosis. Nmr imagery. Nmr spectrometry</topic><topic>Standardization</topic><topic>Tissue</topic><topic>X-ray imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Nyul, L.G.</creatorcontrib><creatorcontrib>Udupa, J.K.</creatorcontrib><creatorcontrib>Xuan Zhang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on medical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nyul, L.G.</au><au>Udupa, J.K.</au><au>Xuan Zhang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New variants of a method of MRI scale standardization</atitle><jtitle>IEEE transactions on medical imaging</jtitle><stitle>TMI</stitle><addtitle>IEEE Trans Med Imaging</addtitle><date>2000-02-01</date><risdate>2000</risdate><volume>19</volume><issue>2</issue><spage>143</spage><epage>150</epage><pages>143-150</pages><issn>0278-0062</issn><eissn>1558-254X</eissn><coden>ITMID4</coden><abstract>One of the major drawbacks of magnetic resonance imaging (MRI) has been the lack of a standard and quantifiable interpretation of image intensities. Unlike in other modalities, such as X-ray computerized tomography, MR images taken for the same patient on the same scanner at different times may appear different from each other due to a variety of scanner-dependent variations and, therefore, the absolute intensity values do not have a fixed meaning. The authors have devised a two-step method wherein all images (independent of patients and the specific brand of the MR scanner used) can be transformed in such a may that for the same protocol and body region, in the transformed images similar intensities will have similar tissue meaning. Standardized images can be displayed with fixed windows without the need of per-case adjustment. More importantly, extraction of quantitative information about healthy organs or about abnormalities can be considerably simplified. 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subjects | Algorithms Biological and medical sciences Body regions Brain - pathology Computed tomography Data mining Displays Humans Image analysis Image enhancement Image Processing, Computer-Assisted Image segmentation Investigative techniques, diagnostic techniques (general aspects) Magnetic resonance imaging Magnetic Resonance Imaging - standards Mathematical transformations Medical sciences Miscellaneous. Technology Multiple Sclerosis - pathology Protocols Radiodiagnosis. Nmr imagery. Nmr spectrometry Standardization Tissue X-ray imaging |
title | New variants of a method of MRI scale standardization |
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