Prostate biopsy tracking with deformation estimation
Prostate biopsy core and cancer grade map realized using 3D US image registration based prostate biopsy core tracking with deformation estimation. [Display omitted] ► Prostate biopsy core localization with deformation estimation. ► US image registration based prostate tracking. ► Prostate biopsy cor...
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description | Prostate biopsy core and cancer grade map realized using 3D US image registration based prostate biopsy core tracking with deformation estimation. [Display omitted]
► Prostate biopsy core localization with deformation estimation. ► US image registration based prostate tracking. ► Prostate biopsy core and cancer maps. ► Targeting suspicious lesions in MR images during TRUS prostate biopsies.
Transrectal biopsies under 2D ultrasound (US) control are the current clinical standard for prostate cancer diagnosis. The isoechogenic nature of prostate carcinoma makes it necessary to sample the gland systematically, resulting in a low sensitivity. Also, it is difficult for the clinician to follow the sampling protocol accurately under 2D US control and the exact anatomical location of the biopsy cores is unknown after the intervention. Tracking systems for prostate biopsies make it possible to generate biopsy distribution maps for intra- and post-interventional quality control and 3D visualisation of histological results for diagnosis and treatment planning. They can also guide the clinician toward non-ultrasound targets. In this paper, a volume-swept 3D US based tracking system for fast and accurate estimation of prostate tissue motion is proposed. The entirely image-based system solves the patient motion problem with an a priori model of rectal probe kinematics. Prostate deformations are estimated with elastic registration to maximize accuracy. The system is robust with only 17 registration failures out of 786 (2%) biopsy volumes acquired from 47 patients during biopsy sessions. Accuracy was evaluated to 0.76±0.52mm using manually segmented fiducials on 687 registered volumes stemming from 40 patients. A clinical protocol for assisted biopsy acquisition was designed and implemented as a biopsy assistance system, which allows to overcome the draw-backs of the standard biopsy procedure. |
doi_str_mv | 10.1016/j.media.2011.01.008 |
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► Prostate biopsy core localization with deformation estimation. ► US image registration based prostate tracking. ► Prostate biopsy core and cancer maps. ► Targeting suspicious lesions in MR images during TRUS prostate biopsies.
Transrectal biopsies under 2D ultrasound (US) control are the current clinical standard for prostate cancer diagnosis. The isoechogenic nature of prostate carcinoma makes it necessary to sample the gland systematically, resulting in a low sensitivity. Also, it is difficult for the clinician to follow the sampling protocol accurately under 2D US control and the exact anatomical location of the biopsy cores is unknown after the intervention. Tracking systems for prostate biopsies make it possible to generate biopsy distribution maps for intra- and post-interventional quality control and 3D visualisation of histological results for diagnosis and treatment planning. They can also guide the clinician toward non-ultrasound targets. In this paper, a volume-swept 3D US based tracking system for fast and accurate estimation of prostate tissue motion is proposed. The entirely image-based system solves the patient motion problem with an a priori model of rectal probe kinematics. Prostate deformations are estimated with elastic registration to maximize accuracy. The system is robust with only 17 registration failures out of 786 (2%) biopsy volumes acquired from 47 patients during biopsy sessions. Accuracy was evaluated to 0.76±0.52mm using manually segmented fiducials on 687 registered volumes stemming from 40 patients. A clinical protocol for assisted biopsy acquisition was designed and implemented as a biopsy assistance system, which allows to overcome the draw-backs of the standard biopsy procedure.</description><identifier>ISSN: 1361-8415</identifier><identifier>EISSN: 1361-8423</identifier><identifier>DOI: 10.1016/j.media.2011.01.008</identifier><identifier>PMID: 21705263</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>3D ultrasound registration ; Algorithms ; Bioengineering ; Biopsy, Needle - methods ; Computer Science ; Computer Simulation ; Elastic Modulus ; Guided prostate biopsies ; Humans ; Image-based tracking ; Imaging ; Life Sciences ; Male ; Models, Biological ; Other ; Pattern Recognition, Automated - methods ; Prostate biopsy maps ; Prostate tracking ; Prostatic Neoplasms - diagnostic imaging ; Prostatic Neoplasms - pathology ; Prostatic Neoplasms - physiopathology ; Reproducibility of Results ; Sensitivity and Specificity ; Surgery, Computer-Assisted - methods ; Ultrasonography, Interventional - methods</subject><ispartof>Medical image analysis, 2012-04, Vol.16 (3), p.562-576</ispartof><rights>2011 Elsevier B.V.</rights><rights>Copyright © 2011 Elsevier B.V. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c437t-d2e350634a6fd169cc360dadf87940df2cd40478e50a90daa69c20ab4e877d663</citedby><cites>FETCH-LOGICAL-c437t-d2e350634a6fd169cc360dadf87940df2cd40478e50a90daa69c20ab4e877d663</cites><orcidid>0000-0001-5921-9419</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1361841511000582$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21705263$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00606407$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Baumann, Michael</creatorcontrib><creatorcontrib>Mozer, Pierre</creatorcontrib><creatorcontrib>Daanen, Vincent</creatorcontrib><creatorcontrib>Troccaz, Jocelyne</creatorcontrib><title>Prostate biopsy tracking with deformation estimation</title><title>Medical image analysis</title><addtitle>Med Image Anal</addtitle><description>Prostate biopsy core and cancer grade map realized using 3D US image registration based prostate biopsy core tracking with deformation estimation. [Display omitted]
► Prostate biopsy core localization with deformation estimation. ► US image registration based prostate tracking. ► Prostate biopsy core and cancer maps. ► Targeting suspicious lesions in MR images during TRUS prostate biopsies.
Transrectal biopsies under 2D ultrasound (US) control are the current clinical standard for prostate cancer diagnosis. The isoechogenic nature of prostate carcinoma makes it necessary to sample the gland systematically, resulting in a low sensitivity. Also, it is difficult for the clinician to follow the sampling protocol accurately under 2D US control and the exact anatomical location of the biopsy cores is unknown after the intervention. Tracking systems for prostate biopsies make it possible to generate biopsy distribution maps for intra- and post-interventional quality control and 3D visualisation of histological results for diagnosis and treatment planning. They can also guide the clinician toward non-ultrasound targets. In this paper, a volume-swept 3D US based tracking system for fast and accurate estimation of prostate tissue motion is proposed. The entirely image-based system solves the patient motion problem with an a priori model of rectal probe kinematics. Prostate deformations are estimated with elastic registration to maximize accuracy. The system is robust with only 17 registration failures out of 786 (2%) biopsy volumes acquired from 47 patients during biopsy sessions. Accuracy was evaluated to 0.76±0.52mm using manually segmented fiducials on 687 registered volumes stemming from 40 patients. A clinical protocol for assisted biopsy acquisition was designed and implemented as a biopsy assistance system, which allows to overcome the draw-backs of the standard biopsy procedure.</description><subject>3D ultrasound registration</subject><subject>Algorithms</subject><subject>Bioengineering</subject><subject>Biopsy, Needle - methods</subject><subject>Computer Science</subject><subject>Computer Simulation</subject><subject>Elastic Modulus</subject><subject>Guided prostate biopsies</subject><subject>Humans</subject><subject>Image-based tracking</subject><subject>Imaging</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Models, Biological</subject><subject>Other</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Prostate biopsy maps</subject><subject>Prostate tracking</subject><subject>Prostatic Neoplasms - diagnostic imaging</subject><subject>Prostatic Neoplasms - pathology</subject><subject>Prostatic Neoplasms - physiopathology</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Surgery, Computer-Assisted - methods</subject><subject>Ultrasonography, Interventional - methods</subject><issn>1361-8415</issn><issn>1361-8423</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1PwzAMhiMEYmPwC5BQb4hDi_PRpD1wmCZgSJPgAOcoS1KW0bUj6Yb278ko7IhkyVb8-HX8InSJIcOA-e0yW1njVEYA4wxiQHGEhphynBaM0ONDjfMBOgthCQCCMThFA4IF5ITTIWIvvg2d6mwyd-067JLOK_3hmvfky3WLxNiq9SvVubZJbOhcX56jk0rVwV785hF6e7h_nUzT2fPj02Q8SzWjoksNsTQHTpnilcG81JpyMMpUhSgZmIpow4CJwuagythQESGg5swWQhjO6Qjd9LoLVcu1j9v9TrbKyel4JvdvABw4A7Elkb3u2bVvPzfxr3LlgrZ1rRrbboIsiSgoEWUZSdqTOp4evK0O0hjk3lm5lD_Oyr2zEmJAEaeufvU389g9zPxZGYG7HrDRka2zXgbtbKOjkre6k6Z1_y74BoydiX4</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Baumann, Michael</creator><creator>Mozer, Pierre</creator><creator>Daanen, Vincent</creator><creator>Troccaz, Jocelyne</creator><general>Elsevier B.V</general><general>Elsevier</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>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-5921-9419</orcidid></search><sort><creationdate>20120401</creationdate><title>Prostate biopsy tracking with deformation estimation</title><author>Baumann, Michael ; Mozer, Pierre ; Daanen, Vincent ; Troccaz, Jocelyne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c437t-d2e350634a6fd169cc360dadf87940df2cd40478e50a90daa69c20ab4e877d663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>3D ultrasound registration</topic><topic>Algorithms</topic><topic>Bioengineering</topic><topic>Biopsy, Needle - methods</topic><topic>Computer Science</topic><topic>Computer Simulation</topic><topic>Elastic Modulus</topic><topic>Guided prostate biopsies</topic><topic>Humans</topic><topic>Image-based tracking</topic><topic>Imaging</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Models, Biological</topic><topic>Other</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Prostate biopsy maps</topic><topic>Prostate tracking</topic><topic>Prostatic Neoplasms - diagnostic imaging</topic><topic>Prostatic Neoplasms - pathology</topic><topic>Prostatic Neoplasms - physiopathology</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Surgery, Computer-Assisted - methods</topic><topic>Ultrasonography, Interventional - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baumann, Michael</creatorcontrib><creatorcontrib>Mozer, Pierre</creatorcontrib><creatorcontrib>Daanen, Vincent</creatorcontrib><creatorcontrib>Troccaz, Jocelyne</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Medical image analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baumann, Michael</au><au>Mozer, Pierre</au><au>Daanen, Vincent</au><au>Troccaz, Jocelyne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prostate biopsy tracking with deformation estimation</atitle><jtitle>Medical image analysis</jtitle><addtitle>Med Image Anal</addtitle><date>2012-04-01</date><risdate>2012</risdate><volume>16</volume><issue>3</issue><spage>562</spage><epage>576</epage><pages>562-576</pages><issn>1361-8415</issn><eissn>1361-8423</eissn><abstract>Prostate biopsy core and cancer grade map realized using 3D US image registration based prostate biopsy core tracking with deformation estimation. [Display omitted]
► Prostate biopsy core localization with deformation estimation. ► US image registration based prostate tracking. ► Prostate biopsy core and cancer maps. ► Targeting suspicious lesions in MR images during TRUS prostate biopsies.
Transrectal biopsies under 2D ultrasound (US) control are the current clinical standard for prostate cancer diagnosis. The isoechogenic nature of prostate carcinoma makes it necessary to sample the gland systematically, resulting in a low sensitivity. Also, it is difficult for the clinician to follow the sampling protocol accurately under 2D US control and the exact anatomical location of the biopsy cores is unknown after the intervention. Tracking systems for prostate biopsies make it possible to generate biopsy distribution maps for intra- and post-interventional quality control and 3D visualisation of histological results for diagnosis and treatment planning. They can also guide the clinician toward non-ultrasound targets. In this paper, a volume-swept 3D US based tracking system for fast and accurate estimation of prostate tissue motion is proposed. The entirely image-based system solves the patient motion problem with an a priori model of rectal probe kinematics. Prostate deformations are estimated with elastic registration to maximize accuracy. The system is robust with only 17 registration failures out of 786 (2%) biopsy volumes acquired from 47 patients during biopsy sessions. Accuracy was evaluated to 0.76±0.52mm using manually segmented fiducials on 687 registered volumes stemming from 40 patients. A clinical protocol for assisted biopsy acquisition was designed and implemented as a biopsy assistance system, which allows to overcome the draw-backs of the standard biopsy procedure.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>21705263</pmid><doi>10.1016/j.media.2011.01.008</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-5921-9419</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 3D ultrasound registration Algorithms Bioengineering Biopsy, Needle - methods Computer Science Computer Simulation Elastic Modulus Guided prostate biopsies Humans Image-based tracking Imaging Life Sciences Male Models, Biological Other Pattern Recognition, Automated - methods Prostate biopsy maps Prostate tracking Prostatic Neoplasms - diagnostic imaging Prostatic Neoplasms - pathology Prostatic Neoplasms - physiopathology Reproducibility of Results Sensitivity and Specificity Surgery, Computer-Assisted - methods Ultrasonography, Interventional - methods |
title | Prostate biopsy tracking with deformation estimation |
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