Towards a biomechanical breast model to simulate and investigate breast compression and its effects in mammography and tomosynthesis
. In mammography, breast compression forms an essential part of the examination and is achieved by lowering a compression paddle on the breast. Compression force is mainly used as parameter to estimate the degree of compression. As the force does not consider variations of breast size or tissue comp...
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Veröffentlicht in: | Physics in medicine & biology 2023-04, Vol.68 (8), p.85007 |
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creator | Hertel, Madeleine Makvandi, Resam Kappler, Steffen Nanke, Ralf Bildhauer, Petra Saalfeld, Sylvia Radicke, Marcus Juhre, Daniel Rose, Georg |
description | . In mammography, breast compression forms an essential part of the examination and is achieved by lowering a compression paddle on the breast. Compression force is mainly used as parameter to estimate the degree of compression. As the force does not consider variations of breast size or tissue composition, over- and undercompression are a frequent result. This causes a highly varying perception of discomfort or even pain in the case of overcompression during the procedure. To develop a holistic, patient specific workflow, as a first step, breast compression needs to be thoroughly understood. The aim is to develop a biomechanical finite element breast model that accurately replicates breast compression in mammography and tomosynthesis and allows in-depth investigation. The current work focuses thereby, as a first step, to replicate especially the correct breast thickness under compression.
. A dedicated method for acquiring ground truth data of uncompressed and compressed breasts within magnetic resonance (MR) imaging is introduced and transferred to the compression within x-ray mammography. Additionally, we created a simulation framework where individual breast models were generated based on MR images.
. By fitting the finite element model to the results of the ground truth images, a universal set of material parameters for fat and fibroglandular tissue could be determined. Overall, the breast models showed high agreement in compression thickness with a deviation of less than ten percent from the ground truth.
. The introduced breast models show a huge potential for a better understanding of the breast compression process. |
doi_str_mv | 10.1088/1361-6560/acc30b |
format | Article |
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. A dedicated method for acquiring ground truth data of uncompressed and compressed breasts within magnetic resonance (MR) imaging is introduced and transferred to the compression within x-ray mammography. Additionally, we created a simulation framework where individual breast models were generated based on MR images.
. By fitting the finite element model to the results of the ground truth images, a universal set of material parameters for fat and fibroglandular tissue could be determined. Overall, the breast models showed high agreement in compression thickness with a deviation of less than ten percent from the ground truth.
. The introduced breast models show a huge potential for a better understanding of the breast compression process.</description><identifier>ISSN: 0031-9155</identifier><identifier>EISSN: 1361-6560</identifier><identifier>DOI: 10.1088/1361-6560/acc30b</identifier><identifier>PMID: 36893466</identifier><identifier>CODEN: PHMBA7</identifier><language>eng</language><publisher>England: IOP Publishing</publisher><subject>Breast - diagnostic imaging ; Breast - pathology ; breast compression ; breast imaging ; Breast Neoplasms - pathology ; Computer Simulation ; Data Compression ; Female ; finite element simulation ; Humans ; mammography ; Mammography - methods ; Pressure</subject><ispartof>Physics in medicine & biology, 2023-04, Vol.68 (8), p.85007</ispartof><rights>2023 Institute of Physics and Engineering in Medicine</rights><rights>2023 Institute of Physics and Engineering in Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c288t-6318bb02c891a4bf80dc057f9d5039e284f4f02c9fddc79c5d8300798b1fef503</cites><orcidid>0000-0003-3803-6458 ; 0000-0003-2746-2881</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1361-6560/acc30b/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,780,784,27924,27925,53846,53893</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36893466$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hertel, Madeleine</creatorcontrib><creatorcontrib>Makvandi, Resam</creatorcontrib><creatorcontrib>Kappler, Steffen</creatorcontrib><creatorcontrib>Nanke, Ralf</creatorcontrib><creatorcontrib>Bildhauer, Petra</creatorcontrib><creatorcontrib>Saalfeld, Sylvia</creatorcontrib><creatorcontrib>Radicke, Marcus</creatorcontrib><creatorcontrib>Juhre, Daniel</creatorcontrib><creatorcontrib>Rose, Georg</creatorcontrib><title>Towards a biomechanical breast model to simulate and investigate breast compression and its effects in mammography and tomosynthesis</title><title>Physics in medicine & biology</title><addtitle>PMB</addtitle><addtitle>Phys. Med. Biol</addtitle><description>. In mammography, breast compression forms an essential part of the examination and is achieved by lowering a compression paddle on the breast. Compression force is mainly used as parameter to estimate the degree of compression. As the force does not consider variations of breast size or tissue composition, over- and undercompression are a frequent result. This causes a highly varying perception of discomfort or even pain in the case of overcompression during the procedure. To develop a holistic, patient specific workflow, as a first step, breast compression needs to be thoroughly understood. The aim is to develop a biomechanical finite element breast model that accurately replicates breast compression in mammography and tomosynthesis and allows in-depth investigation. The current work focuses thereby, as a first step, to replicate especially the correct breast thickness under compression.
. A dedicated method for acquiring ground truth data of uncompressed and compressed breasts within magnetic resonance (MR) imaging is introduced and transferred to the compression within x-ray mammography. Additionally, we created a simulation framework where individual breast models were generated based on MR images.
. By fitting the finite element model to the results of the ground truth images, a universal set of material parameters for fat and fibroglandular tissue could be determined. Overall, the breast models showed high agreement in compression thickness with a deviation of less than ten percent from the ground truth.
. The introduced breast models show a huge potential for a better understanding of the breast compression process.</description><subject>Breast - diagnostic imaging</subject><subject>Breast - pathology</subject><subject>breast compression</subject><subject>breast imaging</subject><subject>Breast Neoplasms - pathology</subject><subject>Computer Simulation</subject><subject>Data Compression</subject><subject>Female</subject><subject>finite element simulation</subject><subject>Humans</subject><subject>mammography</subject><subject>Mammography - methods</subject><subject>Pressure</subject><issn>0031-9155</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kD1PwzAQhi0EoqWwMyFvLISe6yR1RlTxJVViKbPlz9ZVHUd2CurODyclpRNiOt3d857sB6FrAvcEGBsTWpKsLEoYC6UoyBM0PI5O0RCAkqwiRTFAFymtAQhhk_wcDWjJKpqX5RB9LcKniDphgaUL3qiVqJ0SGyyjEanFPmizwW3AyfntRrQGi1pjV3-Y1Lrlvj-AKvgmmpRcqHukTdhYa1RXXY298D4so2hWu591G3xIu7pdmeTSJTqzYpPM1aGO0PvT42L2ks3fnl9nD_NMTRhrs5ISJiVMFKuIyKVloBUUU1vpAmhlJiy3ue3WldVaTStVaEYBphWTxBrbMSME_V0VQ0rRWN5E50XccQJ8L5Tv7fG9Pd4L7SI3faTZSm_0MfBrsAPuesCFhq_DNtbdD_67d_sH3njJS8YZB1Z0L-aNtvQbKjSQbA</recordid><startdate>20230421</startdate><enddate>20230421</enddate><creator>Hertel, Madeleine</creator><creator>Makvandi, Resam</creator><creator>Kappler, Steffen</creator><creator>Nanke, Ralf</creator><creator>Bildhauer, Petra</creator><creator>Saalfeld, Sylvia</creator><creator>Radicke, Marcus</creator><creator>Juhre, Daniel</creator><creator>Rose, Georg</creator><general>IOP Publishing</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><orcidid>https://orcid.org/0000-0003-3803-6458</orcidid><orcidid>https://orcid.org/0000-0003-2746-2881</orcidid></search><sort><creationdate>20230421</creationdate><title>Towards a biomechanical breast model to simulate and investigate breast compression and its effects in mammography and tomosynthesis</title><author>Hertel, Madeleine ; Makvandi, Resam ; Kappler, Steffen ; Nanke, Ralf ; Bildhauer, Petra ; Saalfeld, Sylvia ; Radicke, Marcus ; Juhre, Daniel ; Rose, Georg</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c288t-6318bb02c891a4bf80dc057f9d5039e284f4f02c9fddc79c5d8300798b1fef503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Breast - diagnostic imaging</topic><topic>Breast - pathology</topic><topic>breast compression</topic><topic>breast imaging</topic><topic>Breast Neoplasms - pathology</topic><topic>Computer Simulation</topic><topic>Data Compression</topic><topic>Female</topic><topic>finite element simulation</topic><topic>Humans</topic><topic>mammography</topic><topic>Mammography - methods</topic><topic>Pressure</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hertel, Madeleine</creatorcontrib><creatorcontrib>Makvandi, Resam</creatorcontrib><creatorcontrib>Kappler, Steffen</creatorcontrib><creatorcontrib>Nanke, Ralf</creatorcontrib><creatorcontrib>Bildhauer, Petra</creatorcontrib><creatorcontrib>Saalfeld, Sylvia</creatorcontrib><creatorcontrib>Radicke, Marcus</creatorcontrib><creatorcontrib>Juhre, Daniel</creatorcontrib><creatorcontrib>Rose, Georg</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Physics in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hertel, Madeleine</au><au>Makvandi, Resam</au><au>Kappler, Steffen</au><au>Nanke, Ralf</au><au>Bildhauer, Petra</au><au>Saalfeld, Sylvia</au><au>Radicke, Marcus</au><au>Juhre, Daniel</au><au>Rose, Georg</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Towards a biomechanical breast model to simulate and investigate breast compression and its effects in mammography and tomosynthesis</atitle><jtitle>Physics in medicine & biology</jtitle><stitle>PMB</stitle><addtitle>Phys. Med. Biol</addtitle><date>2023-04-21</date><risdate>2023</risdate><volume>68</volume><issue>8</issue><spage>85007</spage><pages>85007-</pages><issn>0031-9155</issn><eissn>1361-6560</eissn><coden>PHMBA7</coden><abstract>. In mammography, breast compression forms an essential part of the examination and is achieved by lowering a compression paddle on the breast. Compression force is mainly used as parameter to estimate the degree of compression. As the force does not consider variations of breast size or tissue composition, over- and undercompression are a frequent result. This causes a highly varying perception of discomfort or even pain in the case of overcompression during the procedure. To develop a holistic, patient specific workflow, as a first step, breast compression needs to be thoroughly understood. The aim is to develop a biomechanical finite element breast model that accurately replicates breast compression in mammography and tomosynthesis and allows in-depth investigation. The current work focuses thereby, as a first step, to replicate especially the correct breast thickness under compression.
. A dedicated method for acquiring ground truth data of uncompressed and compressed breasts within magnetic resonance (MR) imaging is introduced and transferred to the compression within x-ray mammography. Additionally, we created a simulation framework where individual breast models were generated based on MR images.
. By fitting the finite element model to the results of the ground truth images, a universal set of material parameters for fat and fibroglandular tissue could be determined. Overall, the breast models showed high agreement in compression thickness with a deviation of less than ten percent from the ground truth.
. The introduced breast models show a huge potential for a better understanding of the breast compression process.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>36893466</pmid><doi>10.1088/1361-6560/acc30b</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-3803-6458</orcidid><orcidid>https://orcid.org/0000-0003-2746-2881</orcidid></addata></record> |
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subjects | Breast - diagnostic imaging Breast - pathology breast compression breast imaging Breast Neoplasms - pathology Computer Simulation Data Compression Female finite element simulation Humans mammography Mammography - methods Pressure |
title | Towards a biomechanical breast model to simulate and investigate breast compression and its effects in mammography and tomosynthesis |
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