{"title":"精确的,随时间的解析方程螺旋轨迹和匹配梯度和密度校正波形。","authors":"Guruprasad Krishnamoorthy, James G Pipe","doi":"10.1002/mrm.70053","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To analytically define a spiral waveform and trajectory that match the constraints of gradient frequency, slew rate, and amplitude.</p><p><strong>Theory and methods: </strong>Piecewise analytical solutions for gradient waveforms under the desired constraints are derived using the circle of an involute rather than an Archimedean spiral. Also given are the analytical equations for the time-dependent k-space trajectory and sampling density compensation weights, and analytical expressions for the time dependence of data acquisition in k-space. Open-source software implementing all these equations is shared. Performance is measured against numerically derived solutions to an Archimedean spiral. Scanner implementation is illustrated.</p><p><strong>Results: </strong>The performance of the proposed equations is very similar to that of numerically derived solutions, but this method is much easier to implement and analyze.</p><p><strong>Conclusion: </strong>The proposed method, WHIRLED PEAS (Winding Hybrid Interleaved Radial Lines Encoding Described by Piecewise Exact Analytical Solution), is an easy-to-implement solution for spiral MRI that performs comparable to optimal numerical designs.</p>","PeriodicalId":18065,"journal":{"name":"Magnetic Resonance in Medicine","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exact, time-dependent analytical equations for spiral trajectories and matching gradient and density-correction waveforms.\",\"authors\":\"Guruprasad Krishnamoorthy, James G Pipe\",\"doi\":\"10.1002/mrm.70053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To analytically define a spiral waveform and trajectory that match the constraints of gradient frequency, slew rate, and amplitude.</p><p><strong>Theory and methods: </strong>Piecewise analytical solutions for gradient waveforms under the desired constraints are derived using the circle of an involute rather than an Archimedean spiral. Also given are the analytical equations for the time-dependent k-space trajectory and sampling density compensation weights, and analytical expressions for the time dependence of data acquisition in k-space. Open-source software implementing all these equations is shared. Performance is measured against numerically derived solutions to an Archimedean spiral. Scanner implementation is illustrated.</p><p><strong>Results: </strong>The performance of the proposed equations is very similar to that of numerically derived solutions, but this method is much easier to implement and analyze.</p><p><strong>Conclusion: </strong>The proposed method, WHIRLED PEAS (Winding Hybrid Interleaved Radial Lines Encoding Described by Piecewise Exact Analytical Solution), is an easy-to-implement solution for spiral MRI that performs comparable to optimal numerical designs.</p>\",\"PeriodicalId\":18065,\"journal\":{\"name\":\"Magnetic Resonance in Medicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Magnetic Resonance in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/mrm.70053\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic Resonance in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/mrm.70053","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Exact, time-dependent analytical equations for spiral trajectories and matching gradient and density-correction waveforms.
Purpose: To analytically define a spiral waveform and trajectory that match the constraints of gradient frequency, slew rate, and amplitude.
Theory and methods: Piecewise analytical solutions for gradient waveforms under the desired constraints are derived using the circle of an involute rather than an Archimedean spiral. Also given are the analytical equations for the time-dependent k-space trajectory and sampling density compensation weights, and analytical expressions for the time dependence of data acquisition in k-space. Open-source software implementing all these equations is shared. Performance is measured against numerically derived solutions to an Archimedean spiral. Scanner implementation is illustrated.
Results: The performance of the proposed equations is very similar to that of numerically derived solutions, but this method is much easier to implement and analyze.
Conclusion: The proposed method, WHIRLED PEAS (Winding Hybrid Interleaved Radial Lines Encoding Described by Piecewise Exact Analytical Solution), is an easy-to-implement solution for spiral MRI that performs comparable to optimal numerical designs.
期刊介绍:
Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.