A novel acquisition–reconstruction algorithm for surface magnetic resonance imaging
Abstract In U-shaped, hand-size magnetic resonance surface scanners, imaging is performed along only one spatial direction, with the application of just one gradient (one-dimensional imaging). Lateral spatial resolution can be obtained by magnet displacement, but, in this case, resolution is very po...
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Veröffentlicht in: | Magnetic resonance imaging 2008-11, Vol.26 (9), p.1303-1309 |
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description | Abstract In U-shaped, hand-size magnetic resonance surface scanners, imaging is performed along only one spatial direction, with the application of just one gradient (one-dimensional imaging). Lateral spatial resolution can be obtained by magnet displacement, but, in this case, resolution is very poor (on the order of some millimeters) and cannot be useful for high-resolution imaging applications. In this article, an innovative technique for acquisition and reconstruction of images produced by U-shaped, hand-size MRI surface scanners is presented. The proposed method is based on the acquisition of overlapping strips and an analytical reconstruction technique; it is capable of arbitrarily improving spatial lateral resolution without either using a second magnetic field gradient or making any assumptions about the imaged sample extension. Numerical simulations on synthetic images are reported demonstrating the method functionalities. The presented method also makes it possible to use U-shaped, hand-size MRI surface scanners for high-resolution biomedical applications, such as the imaging of skin lesions. |
doi_str_mv | 10.1016/j.mri.2008.02.011 |
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Lateral spatial resolution can be obtained by magnet displacement, but, in this case, resolution is very poor (on the order of some millimeters) and cannot be useful for high-resolution imaging applications. In this article, an innovative technique for acquisition and reconstruction of images produced by U-shaped, hand-size MRI surface scanners is presented. The proposed method is based on the acquisition of overlapping strips and an analytical reconstruction technique; it is capable of arbitrarily improving spatial lateral resolution without either using a second magnetic field gradient or making any assumptions about the imaged sample extension. Numerical simulations on synthetic images are reported demonstrating the method functionalities. 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The presented method also makes it possible to use U-shaped, hand-size MRI surface scanners for high-resolution biomedical applications, such as the imaging of skin lesions.</description><subject>Algorithms</subject><subject>Computer Simulation</subject><subject>Deconvolution</subject><subject>Image Enhancement - methods</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image reconstruction</subject><subject>Magnetic Resonance Imaging - instrumentation</subject><subject>MRI acquisition sequences</subject><subject>MRI apparatuses</subject><subject>MRI surface scanners</subject><subject>Phantoms, Imaging</subject><subject>Radiology</subject><subject>Surface Properties</subject><issn>0730-725X</issn><issn>1873-5894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFq3DAYhEVI6G6SPkAuxafc7P6yVpZMIBBCmhYWcmgDuQlZ_r3V1pYSyQ7klnfIG-ZJKrMLhR5yEgwzw69vCDmjUFCg1ddtMQRblACygLIASg_IkkrBci7r1SFZgmCQi5I_LMhxjFsA4CXjn8iCylVdM1Evyf1V5vwz9pk2T5ONdrTevb--BTTexTFMZhYy3W98sOPvIet8yOIUOm0wG_TG4WhNFjB6p12SbNKs25ySo073ET_v3xNy_-3m1_X3fH13--P6ap0bxuWYm7qsJDJTlS3jVDCtdYsNSOxqSaED7LhsJKAEXmEjUWApWqC6ZaLpVkKwE3K-630M_mnCOKrBRoN9rx36KaqqTqZVxZOR7owm-BgDduoxpFvDi6KgZpZqqxJLNbNUUKrEMmW-7MunZsD2X2IPLxkudgZMX3y2GFQ0FhOG1iZ-o2q9_bD-8r-06a2zRvd_8AXj1k_BJXaKqpgC6uc85rwlyLQjqyX7C7BMnIk</recordid><startdate>20081101</startdate><enddate>20081101</enddate><creator>Franchi, Danilo</creator><creator>Sotgiu, Antonello</creator><creator>Placidi, Giuseppe</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20081101</creationdate><title>A novel acquisition–reconstruction algorithm for surface magnetic resonance imaging</title><author>Franchi, Danilo ; Sotgiu, Antonello ; Placidi, Giuseppe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-c9268e3c62d35173aaadeb08ef9810f0ef58b80e8056eb8e7e27d01ad37bf4773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>Computer Simulation</topic><topic>Deconvolution</topic><topic>Image Enhancement - methods</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Image reconstruction</topic><topic>Magnetic Resonance Imaging - instrumentation</topic><topic>MRI acquisition sequences</topic><topic>MRI apparatuses</topic><topic>MRI surface scanners</topic><topic>Phantoms, Imaging</topic><topic>Radiology</topic><topic>Surface Properties</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Franchi, Danilo</creatorcontrib><creatorcontrib>Sotgiu, Antonello</creatorcontrib><creatorcontrib>Placidi, Giuseppe</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Franchi, Danilo</au><au>Sotgiu, Antonello</au><au>Placidi, Giuseppe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel acquisition–reconstruction algorithm for surface magnetic resonance imaging</atitle><jtitle>Magnetic resonance imaging</jtitle><addtitle>Magn Reson Imaging</addtitle><date>2008-11-01</date><risdate>2008</risdate><volume>26</volume><issue>9</issue><spage>1303</spage><epage>1309</epage><pages>1303-1309</pages><issn>0730-725X</issn><eissn>1873-5894</eissn><abstract>Abstract In U-shaped, hand-size magnetic resonance surface scanners, imaging is performed along only one spatial direction, with the application of just one gradient (one-dimensional imaging). Lateral spatial resolution can be obtained by magnet displacement, but, in this case, resolution is very poor (on the order of some millimeters) and cannot be useful for high-resolution imaging applications. In this article, an innovative technique for acquisition and reconstruction of images produced by U-shaped, hand-size MRI surface scanners is presented. The proposed method is based on the acquisition of overlapping strips and an analytical reconstruction technique; it is capable of arbitrarily improving spatial lateral resolution without either using a second magnetic field gradient or making any assumptions about the imaged sample extension. Numerical simulations on synthetic images are reported demonstrating the method functionalities. 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subjects | Algorithms Computer Simulation Deconvolution Image Enhancement - methods Image Processing, Computer-Assisted - methods Image reconstruction Magnetic Resonance Imaging - instrumentation MRI acquisition sequences MRI apparatuses MRI surface scanners Phantoms, Imaging Radiology Surface Properties |
title | A novel acquisition–reconstruction algorithm for surface magnetic resonance imaging |
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