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Analyzing Pulse Compression Performance and Image Quality Metrics of Different Excitations in MAET With Magnetic Field Measurements
ABSTRACT This study investigates the pulse compression technique to improve the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements through numerical studies. Emphasizing the effects of specific coil configuration on MAET measurements, the study conducts eval...
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Published in: | International journal for numerical methods in biomedical engineering 2024-12, Vol.40 (12), p.e3890-n/a |
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This study investigates the pulse compression technique to improve the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements through numerical studies. Emphasizing the effects of specific coil configuration on MAET measurements, the study conducts evaluations using a linear phased array (LPA) transducer and numerical breast models with tumor inclusion. It provides feasibility and a detailed comparative analysis of various excitations, including linear frequency modulated (LFM), Barker code, and Golay code excitations in MAET. To simulate experimental conditions, additive White Gaussian noise is added to the MAET signal detected by the receiver coils. The results obtained from the LPA steering angle at 0° and the reconstructed B‐mode MAET images using the pulse compression technique lead to improvements compared with conventional single‐cycle excitation. The computed mean signal‐to‐noise ratio (SNR) improvements for LFM, Barker code, and Golay code excitations in B‐mode MAET images for 10,000 iterations are 7.42, 8.36, and 8.44 dB, respectively, compared with single‐cycle excitation. Similarly, the mean contrast‐to‐noise ratio (CNR) improvements for these excitations in B‐mode MAET images are 1.43, 1.63, and 1.9 dB, respectively. The results demonstrate that Golay code is superior in CNR and image quality metrics, while Golay and Barker codes have comparable SNR and outperform LFM. The research shows that the coil configuration significantly impacts tumor detection. With Golay code excitation, detecting a tumor as small as 5 mm × 2 mm at a depth of 33 mm with an SNR of 6.38 dB is possible, achieving an axial resolution of 2 mm.
The study explores pulse compression technique to enhance the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements, utilizing a linear phased array transducer and numerical breast models with tumor inclusion. It provides feasibility and a comparative analysis of linear frequency modulated (LFM), Barker code, and Golay code excitations in MAET. The results from reconstructed B‐mode MAET images demonstrate comparable SNR between Golay and Barker codes, outperforming LFM, while Golay code is superior in contrast‐to‐noise ratio and image quality metrics. |
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This study investigates the pulse compression technique to improve the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements through numerical studies. Emphasizing the effects of specific coil configuration on MAET measurements, the study conducts evaluations using a linear phased array (LPA) transducer and numerical breast models with tumor inclusion. It provides feasibility and a detailed comparative analysis of various excitations, including linear frequency modulated (LFM), Barker code, and Golay code excitations in MAET. To simulate experimental conditions, additive White Gaussian noise is added to the MAET signal detected by the receiver coils. The results obtained from the LPA steering angle at 0° and the reconstructed B‐mode MAET images using the pulse compression technique lead to improvements compared with conventional single‐cycle excitation. The computed mean signal‐to‐noise ratio (SNR) improvements for LFM, Barker code, and Golay code excitations in B‐mode MAET images for 10,000 iterations are 7.42, 8.36, and 8.44 dB, respectively, compared with single‐cycle excitation. Similarly, the mean contrast‐to‐noise ratio (CNR) improvements for these excitations in B‐mode MAET images are 1.43, 1.63, and 1.9 dB, respectively. The results demonstrate that Golay code is superior in CNR and image quality metrics, while Golay and Barker codes have comparable SNR and outperform LFM. The research shows that the coil configuration significantly impacts tumor detection. With Golay code excitation, detecting a tumor as small as 5 mm × 2 mm at a depth of 33 mm with an SNR of 6.38 dB is possible, achieving an axial resolution of 2 mm.
The study explores pulse compression technique to enhance the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements, utilizing a linear phased array transducer and numerical breast models with tumor inclusion. It provides feasibility and a comparative analysis of linear frequency modulated (LFM), Barker code, and Golay code excitations in MAET. The results from reconstructed B‐mode MAET images demonstrate comparable SNR between Golay and Barker codes, outperforming LFM, while Golay code is superior in contrast‐to‐noise ratio and image quality metrics.</description><identifier>ISSN: 2040-7939</identifier><identifier>ISSN: 2040-7947</identifier><identifier>EISSN: 2040-7947</identifier><identifier>DOI: 10.1002/cnm.3890</identifier><identifier>PMID: 39543448</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Algorithms ; coded excitation ; Coils ; Comparative analysis ; Compression ; conductivity imaging ; Configurations ; Cycle ratio ; Excitation ; Feasibility studies ; Female ; Frequency modulation ; Golay codes ; Humans ; Image compression ; Image contrast ; Image Processing, Computer-Assisted - methods ; Image quality ; Image reconstruction ; Magnetic Fields ; magneto‐acousto‐electrical tomography ; Performance enhancement ; Phantoms, Imaging ; Phased arrays ; Pulse compression ; Random noise ; Signal-To-Noise Ratio ; Steering ; Tomography - methods ; Tumors</subject><ispartof>International journal for numerical methods in biomedical engineering, 2024-12, Vol.40 (12), p.e3890-n/a</ispartof><rights>2024 John Wiley & Sons Ltd.</rights><rights>2025. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2740-c9d1658779cf8fcb24074ab2b2b7612dcd47746ab059ad7a766394f91b407cd63</cites><orcidid>0009-0004-0298-4290</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39543448$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gözü, Mehmet Soner</creatorcontrib><creatorcontrib>Gençer, Nevzat Güneri</creatorcontrib><title>Analyzing Pulse Compression Performance and Image Quality Metrics of Different Excitations in MAET With Magnetic Field Measurements</title><title>International journal for numerical methods in biomedical engineering</title><addtitle>Int J Numer Method Biomed Eng</addtitle><description>ABSTRACT
This study investigates the pulse compression technique to improve the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements through numerical studies. Emphasizing the effects of specific coil configuration on MAET measurements, the study conducts evaluations using a linear phased array (LPA) transducer and numerical breast models with tumor inclusion. It provides feasibility and a detailed comparative analysis of various excitations, including linear frequency modulated (LFM), Barker code, and Golay code excitations in MAET. To simulate experimental conditions, additive White Gaussian noise is added to the MAET signal detected by the receiver coils. The results obtained from the LPA steering angle at 0° and the reconstructed B‐mode MAET images using the pulse compression technique lead to improvements compared with conventional single‐cycle excitation. The computed mean signal‐to‐noise ratio (SNR) improvements for LFM, Barker code, and Golay code excitations in B‐mode MAET images for 10,000 iterations are 7.42, 8.36, and 8.44 dB, respectively, compared with single‐cycle excitation. Similarly, the mean contrast‐to‐noise ratio (CNR) improvements for these excitations in B‐mode MAET images are 1.43, 1.63, and 1.9 dB, respectively. The results demonstrate that Golay code is superior in CNR and image quality metrics, while Golay and Barker codes have comparable SNR and outperform LFM. The research shows that the coil configuration significantly impacts tumor detection. With Golay code excitation, detecting a tumor as small as 5 mm × 2 mm at a depth of 33 mm with an SNR of 6.38 dB is possible, achieving an axial resolution of 2 mm.
The study explores pulse compression technique to enhance the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements, utilizing a linear phased array transducer and numerical breast models with tumor inclusion. It provides feasibility and a comparative analysis of linear frequency modulated (LFM), Barker code, and Golay code excitations in MAET. The results from reconstructed B‐mode MAET images demonstrate comparable SNR between Golay and Barker codes, outperforming LFM, while Golay code is superior in contrast‐to‐noise ratio and image quality metrics.</description><subject>Algorithms</subject><subject>coded excitation</subject><subject>Coils</subject><subject>Comparative analysis</subject><subject>Compression</subject><subject>conductivity imaging</subject><subject>Configurations</subject><subject>Cycle ratio</subject><subject>Excitation</subject><subject>Feasibility studies</subject><subject>Female</subject><subject>Frequency modulation</subject><subject>Golay codes</subject><subject>Humans</subject><subject>Image compression</subject><subject>Image contrast</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image quality</subject><subject>Image reconstruction</subject><subject>Magnetic Fields</subject><subject>magneto‐acousto‐electrical tomography</subject><subject>Performance enhancement</subject><subject>Phantoms, Imaging</subject><subject>Phased arrays</subject><subject>Pulse compression</subject><subject>Random noise</subject><subject>Signal-To-Noise Ratio</subject><subject>Steering</subject><subject>Tomography - methods</subject><subject>Tumors</subject><issn>2040-7939</issn><issn>2040-7947</issn><issn>2040-7947</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kc1LwzAchoMoTlTwL5CAFy_TNMma5jjm_ADnB0w8ljT9ZUbadCYtOq_-42ZOJwgmh-TwvM-P5EXoICEnCSH0VLv6hGWSbKAdSjjpC8nF5vrOZA_th_BM4qJSSsG2UY_JAWecZzvoY-hUtXi3bobvuioAHjX13EMItnH4DrxpfK2cBqxcia9qNQN836nKtgs8gdZbHXBj8Jk1Bjy4Fo_ftG1VG9MBW4cnw_EUP9r2CU_UzEFrNT63UJUxrELnoY6ZsIe2jIqz97_PXfRwPp6OLvvXtxdXo-F1X1MR36JlmaSDTAipTWZ0QTkRXBU0bpEmtNQlF4KnqiADqUqhRJoyyY1MigjqMmW76HjlnfvmpYPQ5rUNGqpKOWi6kLOEZhlNBWURPfqDPjedj1-1pKIukYLTX6H2TQgeTD73tlZ-kSckX3aTx27yZTcRPfwWdkUN5Rr8aSIC_RXwaitY_CvKRzeTL-EnVx6Xtw</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Gözü, Mehmet Soner</creator><creator>Gençer, Nevzat Güneri</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, 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>7QO</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0009-0004-0298-4290</orcidid></search><sort><creationdate>202412</creationdate><title>Analyzing Pulse Compression Performance and Image Quality Metrics of Different Excitations in MAET With Magnetic Field Measurements</title><author>Gözü, Mehmet Soner ; Gençer, Nevzat Güneri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2740-c9d1658779cf8fcb24074ab2b2b7612dcd47746ab059ad7a766394f91b407cd63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>coded excitation</topic><topic>Coils</topic><topic>Comparative analysis</topic><topic>Compression</topic><topic>conductivity imaging</topic><topic>Configurations</topic><topic>Cycle ratio</topic><topic>Excitation</topic><topic>Feasibility studies</topic><topic>Female</topic><topic>Frequency modulation</topic><topic>Golay codes</topic><topic>Humans</topic><topic>Image compression</topic><topic>Image contrast</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Image quality</topic><topic>Image reconstruction</topic><topic>Magnetic Fields</topic><topic>magneto‐acousto‐electrical tomography</topic><topic>Performance enhancement</topic><topic>Phantoms, Imaging</topic><topic>Phased arrays</topic><topic>Pulse compression</topic><topic>Random noise</topic><topic>Signal-To-Noise Ratio</topic><topic>Steering</topic><topic>Tomography - methods</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gözü, Mehmet Soner</creatorcontrib><creatorcontrib>Gençer, Nevzat Güneri</creatorcontrib><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>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering 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>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>International journal for numerical methods in biomedical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gözü, Mehmet Soner</au><au>Gençer, Nevzat Güneri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analyzing Pulse Compression Performance and Image Quality Metrics of Different Excitations in MAET With Magnetic Field Measurements</atitle><jtitle>International journal for numerical methods in biomedical engineering</jtitle><addtitle>Int J Numer Method Biomed Eng</addtitle><date>2024-12</date><risdate>2024</risdate><volume>40</volume><issue>12</issue><spage>e3890</spage><epage>n/a</epage><pages>e3890-n/a</pages><issn>2040-7939</issn><issn>2040-7947</issn><eissn>2040-7947</eissn><abstract>ABSTRACT
This study investigates the pulse compression technique to improve the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements through numerical studies. Emphasizing the effects of specific coil configuration on MAET measurements, the study conducts evaluations using a linear phased array (LPA) transducer and numerical breast models with tumor inclusion. It provides feasibility and a detailed comparative analysis of various excitations, including linear frequency modulated (LFM), Barker code, and Golay code excitations in MAET. To simulate experimental conditions, additive White Gaussian noise is added to the MAET signal detected by the receiver coils. The results obtained from the LPA steering angle at 0° and the reconstructed B‐mode MAET images using the pulse compression technique lead to improvements compared with conventional single‐cycle excitation. The computed mean signal‐to‐noise ratio (SNR) improvements for LFM, Barker code, and Golay code excitations in B‐mode MAET images for 10,000 iterations are 7.42, 8.36, and 8.44 dB, respectively, compared with single‐cycle excitation. Similarly, the mean contrast‐to‐noise ratio (CNR) improvements for these excitations in B‐mode MAET images are 1.43, 1.63, and 1.9 dB, respectively. The results demonstrate that Golay code is superior in CNR and image quality metrics, while Golay and Barker codes have comparable SNR and outperform LFM. The research shows that the coil configuration significantly impacts tumor detection. With Golay code excitation, detecting a tumor as small as 5 mm × 2 mm at a depth of 33 mm with an SNR of 6.38 dB is possible, achieving an axial resolution of 2 mm.
The study explores pulse compression technique to enhance the performance of magneto‐acousto‐electrical tomography (MAET) with magnetic field measurements, utilizing a linear phased array transducer and numerical breast models with tumor inclusion. It provides feasibility and a comparative analysis of linear frequency modulated (LFM), Barker code, and Golay code excitations in MAET. The results from reconstructed B‐mode MAET images demonstrate comparable SNR between Golay and Barker codes, outperforming LFM, while Golay code is superior in contrast‐to‐noise ratio and image quality metrics.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>39543448</pmid><doi>10.1002/cnm.3890</doi><tpages>16</tpages><orcidid>https://orcid.org/0009-0004-0298-4290</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms coded excitation Coils Comparative analysis Compression conductivity imaging Configurations Cycle ratio Excitation Feasibility studies Female Frequency modulation Golay codes Humans Image compression Image contrast Image Processing, Computer-Assisted - methods Image quality Image reconstruction Magnetic Fields magneto‐acousto‐electrical tomography Performance enhancement Phantoms, Imaging Phased arrays Pulse compression Random noise Signal-To-Noise Ratio Steering Tomography - methods Tumors |
title | Analyzing Pulse Compression Performance and Image Quality Metrics of Different Excitations in MAET With Magnetic Field Measurements |
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