Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:International journal for numerical methods in biomedical engineering 2024-12, Vol.40 (12), p.e3890-n/a
Main Authors: Gözü, Mehmet Soner, Gençer, Nevzat Güneri
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c2740-c9d1658779cf8fcb24074ab2b2b7612dcd47746ab059ad7a766394f91b407cd63
container_end_page n/a
container_issue 12
container_start_page e3890
container_title International journal for numerical methods in biomedical engineering
container_volume 40
creator Gözü, Mehmet Soner
Gençer, Nevzat Güneri
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.
doi_str_mv 10.1002/cnm.3890
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3128826723</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3128826723</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2740-c9d1658779cf8fcb24074ab2b2b7612dcd47746ab059ad7a766394f91b407cd63</originalsourceid><addsrcrecordid>eNp1kc1LwzAchoMoTlTwL5CAFy_TNMma5jjm_ADnB0w8ljT9ZUbadCYtOq_-42ZOJwgmh-TwvM-P5EXoICEnCSH0VLv6hGWSbKAdSjjpC8nF5vrOZA_th_BM4qJSSsG2UY_JAWecZzvoY-hUtXi3bobvuioAHjX13EMItnH4DrxpfK2cBqxcia9qNQN836nKtgs8gdZbHXBj8Jk1Bjy4Fo_ftG1VG9MBW4cnw_EUP9r2CU_UzEFrNT63UJUxrELnoY6ZsIe2jIqz97_PXfRwPp6OLvvXtxdXo-F1X1MR36JlmaSDTAipTWZ0QTkRXBU0bpEmtNQlF4KnqiADqUqhRJoyyY1MigjqMmW76HjlnfvmpYPQ5rUNGqpKOWi6kLOEZhlNBWURPfqDPjedj1-1pKIukYLTX6H2TQgeTD73tlZ-kSckX3aTx27yZTcRPfwWdkUN5Rr8aSIC_RXwaitY_CvKRzeTL-EnVx6Xtw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3140719742</pqid></control><display><type>article</type><title>Analyzing Pulse Compression Performance and Image Quality Metrics of Different Excitations in MAET With Magnetic Field Measurements</title><source>Wiley:Jisc Collections:Wiley Read and Publish Open Access 2024-2025 (reading list)</source><creator>Gözü, Mehmet Soner ; Gençer, Nevzat Güneri</creator><creatorcontrib>Gözü, Mehmet Soner ; Gençer, Nevzat Güneri</creatorcontrib><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><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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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>
fulltext fulltext
identifier ISSN: 2040-7939
ispartof International journal for numerical methods in biomedical engineering, 2024-12, Vol.40 (12), p.e3890-n/a
issn 2040-7939
2040-7947
2040-7947
language eng
recordid cdi_proquest_miscellaneous_3128826723
source Wiley:Jisc Collections:Wiley Read and Publish Open Access 2024-2025 (reading list)
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T07%3A45%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analyzing%20Pulse%20Compression%20Performance%20and%20Image%20Quality%20Metrics%20of%20Different%20Excitations%20in%20MAET%20With%20Magnetic%20Field%20Measurements&rft.jtitle=International%20journal%20for%20numerical%20methods%20in%20biomedical%20engineering&rft.au=G%C3%B6z%C3%BC,%20Mehmet%20Soner&rft.date=2024-12&rft.volume=40&rft.issue=12&rft.spage=e3890&rft.epage=n/a&rft.pages=e3890-n/a&rft.issn=2040-7939&rft.eissn=2040-7947&rft_id=info:doi/10.1002/cnm.3890&rft_dat=%3Cproquest_cross%3E3128826723%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2740-c9d1658779cf8fcb24074ab2b2b7612dcd47746ab059ad7a766394f91b407cd63%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3140719742&rft_id=info:pmid/39543448&rfr_iscdi=true