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Iterative RF pulse design for multidimensional, small-tip-angle selective excitation
The excitation k‐space perspective on small‐tip‐angle selective excitation has facilitated RF pulse designs in a range of MR applications. In this paper, k‐space‐based design of multidimensional RF pulses is formulated as a quadratic optimization problem, and solved efficiently by the iterative conj...
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Published in: | Magnetic resonance in medicine 2005-10, Vol.54 (4), p.908-917 |
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container_title | Magnetic resonance in medicine |
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creator | Yip, Chun-yu Fessler, Jeffrey A. Noll, Douglas C. |
description | The excitation k‐space perspective on small‐tip‐angle selective excitation has facilitated RF pulse designs in a range of MR applications. In this paper, k‐space‐based design of multidimensional RF pulses is formulated as a quadratic optimization problem, and solved efficiently by the iterative conjugate‐gradient (CG) algorithm. Compared to conventional design approaches, such as the conjugate‐phase (CP) method, the new design approach is beneficial in several regards. It generally produces more accurate excitation patterns. The improvement is particularly significant when k‐space is undersampled, and it can potentially shorten pulse lengths. A prominent improvement in accuracy is also observed when large off‐resonance gradients are present. A further boost in excitation accuracy can be accomplished in regions of interest (ROIs) if they are specified together with “don't‐care” regions. The density compensation function (DCF) is no longer required. In addition, regularization techniques allow control over integrated and peak pulse power. Magn Reson Med, 2005. © 2005 Wiley‐Liss, Inc. |
doi_str_mv | 10.1002/mrm.20631 |
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Reson. Med</addtitle><description>The excitation k‐space perspective on small‐tip‐angle selective excitation has facilitated RF pulse designs in a range of MR applications. In this paper, k‐space‐based design of multidimensional RF pulses is formulated as a quadratic optimization problem, and solved efficiently by the iterative conjugate‐gradient (CG) algorithm. Compared to conventional design approaches, such as the conjugate‐phase (CP) method, the new design approach is beneficial in several regards. It generally produces more accurate excitation patterns. The improvement is particularly significant when k‐space is undersampled, and it can potentially shorten pulse lengths. A prominent improvement in accuracy is also observed when large off‐resonance gradients are present. A further boost in excitation accuracy can be accomplished in regions of interest (ROIs) if they are specified together with “don't‐care” regions. The density compensation function (DCF) is no longer required. In addition, regularization techniques allow control over integrated and peak pulse power. Magn Reson Med, 2005. © 2005 Wiley‐Liss, Inc.</description><subject>Algorithms</subject><subject>constrained minimization</subject><subject>excitation k-space</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>iterative pulse design</subject><subject>Magnetic Resonance Imaging - instrumentation</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Phantoms, Imaging</subject><subject>Radio Waves</subject><subject>Reproducibility of Results</subject><subject>selective excitation</subject><subject>Sensitivity and Specificity</subject><subject>Signal Processing, Computer-Assisted</subject><subject>small tip angle</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqFkEtP20AURkcVqAToon-g8goJCZN5eR5LBE0AEZBQlEpsRmP7Gg2M7TBjl_DvMSS0K8Tqbs53pHsQ-knwMcGYjutQH1MsGPmGRiSjNKWZ5ltohCXHKSOa76DdGB8wxlpL_h3tEEGyTCkyQvOLDoLt3F9IbifJsvcRkhKiu2-Sqg1J3fvOla6GJrq2sf4oibX1Pu3cMrXNvYckgofifQ-rwnWDqm320XZlB9OPzd1D88nv-el5enUzvTg9uUoLTiVJtdWEamqJFjnGpWKy0pgBl8paJUilpWClyDljFS7ASsUUh5za4Y28IpjtoYO1dhnapx5iZ2oXC_DeNtD20QglMsIp_xKkWGU6E2oAD9dgEdoYA1RmGVxtw4sh2LylNkNq8556YH9tpH1eQ_mf3LQdgPEaeHYeXj43mdnt7EOZrhcudrD6t7Dh0QjJZGb-XE_N7HK6OFvcCcPZK2IElxM</recordid><startdate>200510</startdate><enddate>200510</enddate><creator>Yip, Chun-yu</creator><creator>Fessler, Jeffrey A.</creator><creator>Noll, Douglas C.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><scope>BSCLL</scope><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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>200510</creationdate><title>Iterative RF pulse design for multidimensional, small-tip-angle selective excitation</title><author>Yip, Chun-yu ; Fessler, Jeffrey A. ; Noll, Douglas C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4271-9a91292a196b00d837f903e478aa861f9763d6b433f0cea78384eb2a009bf103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Algorithms</topic><topic>constrained minimization</topic><topic>excitation k-space</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>iterative pulse design</topic><topic>Magnetic Resonance Imaging - instrumentation</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Phantoms, Imaging</topic><topic>Radio Waves</topic><topic>Reproducibility of Results</topic><topic>selective excitation</topic><topic>Sensitivity and Specificity</topic><topic>Signal Processing, Computer-Assisted</topic><topic>small tip angle</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yip, Chun-yu</creatorcontrib><creatorcontrib>Fessler, Jeffrey A.</creatorcontrib><creatorcontrib>Noll, Douglas C.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yip, Chun-yu</au><au>Fessler, Jeffrey A.</au><au>Noll, Douglas C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Iterative RF pulse design for multidimensional, small-tip-angle selective excitation</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn. Reson. Med</addtitle><date>2005-10</date><risdate>2005</risdate><volume>54</volume><issue>4</issue><spage>908</spage><epage>917</epage><pages>908-917</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><abstract>The excitation k‐space perspective on small‐tip‐angle selective excitation has facilitated RF pulse designs in a range of MR applications. In this paper, k‐space‐based design of multidimensional RF pulses is formulated as a quadratic optimization problem, and solved efficiently by the iterative conjugate‐gradient (CG) algorithm. Compared to conventional design approaches, such as the conjugate‐phase (CP) method, the new design approach is beneficial in several regards. It generally produces more accurate excitation patterns. The improvement is particularly significant when k‐space is undersampled, and it can potentially shorten pulse lengths. A prominent improvement in accuracy is also observed when large off‐resonance gradients are present. 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subjects | Algorithms constrained minimization excitation k-space Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods iterative pulse design Magnetic Resonance Imaging - instrumentation Magnetic Resonance Imaging - methods Phantoms, Imaging Radio Waves Reproducibility of Results selective excitation Sensitivity and Specificity Signal Processing, Computer-Assisted small tip angle |
title | Iterative RF pulse design for multidimensional, small-tip-angle selective excitation |
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