Loading…

Tissue characterization from myocardial perfusion and autonomic innervation using MRI and SPECT images in chagas disease

Chagas disease is of major clinical relevance, with high incidence.The relation between the myocardial tissue damage, myocardial perfusion and defects in the autonomic innervations is poorly understood. This work proposes the development and application of image analysis methods capable of providing...

Full description

Saved in:
Bibliographic Details
Main Authors: Barizon, Gustavo C., Da S Senra Filho, Antonio Carlos, Simoes, Marcus Vinicius, Schmidt, Andre, Gadioli, Leonardo P., Murta Junior, Luiz O.
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 948
container_issue
container_start_page 945
container_title
container_volume
creator Barizon, Gustavo C.
Da S Senra Filho, Antonio Carlos
Simoes, Marcus Vinicius
Schmidt, Andre
Gadioli, Leonardo P.
Murta Junior, Luiz O.
description Chagas disease is of major clinical relevance, with high incidence.The relation between the myocardial tissue damage, myocardial perfusion and defects in the autonomic innervations is poorly understood. This work proposes the development and application of image analysis methods capable of providing an integrated visualization and analysis of tissue injuries through magnetic resonance imaging (MRI), autonomic innervations and myocardial perfusion, available through photon emission tomography (SPECT). This paper describes and evaluates a method for tissue characterization and quantication. The proposed method is based on segmentation of MRI and registration between MRI images and SPECT images using metaiodobenzylguanidine (MIBG) and 99Tc (m)-methoxy-isobutyl-isonitrile (MIBI). To perform the segmentation of myocardium, we used Geodesic Active Contour. Fibrosis segmentation in MRI images was performed based on the algorithm of maximum Tsallis entropy. Nonrigid registrations was performed based on B-Spline method. Initially, the registration was made between SPECT images using 99Tc (m)-MIBI and MIBG. Then MRI volumes were registered with SPECT images. It is possible to observe regions of brosis and with absence or low synaptic activity comparatively to myocardial perfusion. The relationship of regions of fibrosis and regions with absence of synaptic activity was obtained by Kendall correlation, which provided a correlation coefficient of 0.8788. Thus, the developed tool provides an integrated analysis of information contributing to a better understanding of the relationship between myocardial tissue damage and autonomic innervations injuries caused by Chagas disease.
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_7043200</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7043200</ieee_id><sourcerecordid>7043200</sourcerecordid><originalsourceid>FETCH-ieee_primary_70432003</originalsourceid><addsrcrecordid>eNp9jUFrwkAUhFdsQdvmF3h5f0DYuDHbnEXRgyBt7vJIXtJXzK7sS0r11xttvXqZYfhmmIF6iRObZYnpdaiizL7fc2qe1FjPbDpN5zYZqUjkW2sdWzu3sRmr35xFOoLiCwMWLQU-Y8veQRV8A83JFxhKxgMcKVSdXAm6ErBrvfMNF8DOUfj52_Tc1bD92Nw6n7vlIgdusCbpa9eLGgVKFkKhN_Vc4UEo-vdXNVkt88V6ykS0P4Z-F057qxMz09o8phel3Ez9</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Tissue characterization from myocardial perfusion and autonomic innervation using MRI and SPECT images in chagas disease</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Barizon, Gustavo C. ; Da S Senra Filho, Antonio Carlos ; Simoes, Marcus Vinicius ; Schmidt, Andre ; Gadioli, Leonardo P. ; Murta Junior, Luiz O.</creator><creatorcontrib>Barizon, Gustavo C. ; Da S Senra Filho, Antonio Carlos ; Simoes, Marcus Vinicius ; Schmidt, Andre ; Gadioli, Leonardo P. ; Murta Junior, Luiz O.</creatorcontrib><description>Chagas disease is of major clinical relevance, with high incidence.The relation between the myocardial tissue damage, myocardial perfusion and defects in the autonomic innervations is poorly understood. This work proposes the development and application of image analysis methods capable of providing an integrated visualization and analysis of tissue injuries through magnetic resonance imaging (MRI), autonomic innervations and myocardial perfusion, available through photon emission tomography (SPECT). This paper describes and evaluates a method for tissue characterization and quantication. The proposed method is based on segmentation of MRI and registration between MRI images and SPECT images using metaiodobenzylguanidine (MIBG) and 99Tc (m)-methoxy-isobutyl-isonitrile (MIBI). To perform the segmentation of myocardium, we used Geodesic Active Contour. Fibrosis segmentation in MRI images was performed based on the algorithm of maximum Tsallis entropy. Nonrigid registrations was performed based on B-Spline method. Initially, the registration was made between SPECT images using 99Tc (m)-MIBI and MIBG. Then MRI volumes were registered with SPECT images. It is possible to observe regions of brosis and with absence or low synaptic activity comparatively to myocardial perfusion. The relationship of regions of fibrosis and regions with absence of synaptic activity was obtained by Kendall correlation, which provided a correlation coefficient of 0.8788. Thus, the developed tool provides an integrated analysis of information contributing to a better understanding of the relationship between myocardial tissue damage and autonomic innervations injuries caused by Chagas disease.</description><identifier>ISSN: 0276-6574</identifier><identifier>ISBN: 9781479943463</identifier><identifier>ISBN: 1479943460</identifier><identifier>EISBN: 1479943479</identifier><identifier>EISBN: 9781479943470</identifier><language>eng</language><publisher>CCAL</publisher><subject>Correlation ; Diseases ; Image segmentation ; Injuries ; Magnetic resonance imaging ; Myocardium ; Single photon emission computed tomography</subject><ispartof>Computing in Cardiology 2014, 2014, p.945-948</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7043200$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,54903</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7043200$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Barizon, Gustavo C.</creatorcontrib><creatorcontrib>Da S Senra Filho, Antonio Carlos</creatorcontrib><creatorcontrib>Simoes, Marcus Vinicius</creatorcontrib><creatorcontrib>Schmidt, Andre</creatorcontrib><creatorcontrib>Gadioli, Leonardo P.</creatorcontrib><creatorcontrib>Murta Junior, Luiz O.</creatorcontrib><title>Tissue characterization from myocardial perfusion and autonomic innervation using MRI and SPECT images in chagas disease</title><title>Computing in Cardiology 2014</title><addtitle>CIC</addtitle><description>Chagas disease is of major clinical relevance, with high incidence.The relation between the myocardial tissue damage, myocardial perfusion and defects in the autonomic innervations is poorly understood. This work proposes the development and application of image analysis methods capable of providing an integrated visualization and analysis of tissue injuries through magnetic resonance imaging (MRI), autonomic innervations and myocardial perfusion, available through photon emission tomography (SPECT). This paper describes and evaluates a method for tissue characterization and quantication. The proposed method is based on segmentation of MRI and registration between MRI images and SPECT images using metaiodobenzylguanidine (MIBG) and 99Tc (m)-methoxy-isobutyl-isonitrile (MIBI). To perform the segmentation of myocardium, we used Geodesic Active Contour. Fibrosis segmentation in MRI images was performed based on the algorithm of maximum Tsallis entropy. Nonrigid registrations was performed based on B-Spline method. Initially, the registration was made between SPECT images using 99Tc (m)-MIBI and MIBG. Then MRI volumes were registered with SPECT images. It is possible to observe regions of brosis and with absence or low synaptic activity comparatively to myocardial perfusion. The relationship of regions of fibrosis and regions with absence of synaptic activity was obtained by Kendall correlation, which provided a correlation coefficient of 0.8788. Thus, the developed tool provides an integrated analysis of information contributing to a better understanding of the relationship between myocardial tissue damage and autonomic innervations injuries caused by Chagas disease.</description><subject>Correlation</subject><subject>Diseases</subject><subject>Image segmentation</subject><subject>Injuries</subject><subject>Magnetic resonance imaging</subject><subject>Myocardium</subject><subject>Single photon emission computed tomography</subject><issn>0276-6574</issn><isbn>9781479943463</isbn><isbn>1479943460</isbn><isbn>1479943479</isbn><isbn>9781479943470</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2014</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNp9jUFrwkAUhFdsQdvmF3h5f0DYuDHbnEXRgyBt7vJIXtJXzK7sS0r11xttvXqZYfhmmIF6iRObZYnpdaiizL7fc2qe1FjPbDpN5zYZqUjkW2sdWzu3sRmr35xFOoLiCwMWLQU-Y8veQRV8A83JFxhKxgMcKVSdXAm6ErBrvfMNF8DOUfj52_Tc1bD92Nw6n7vlIgdusCbpa9eLGgVKFkKhN_Vc4UEo-vdXNVkt88V6ykS0P4Z-F057qxMz09o8phel3Ez9</recordid><startdate>201409</startdate><enddate>201409</enddate><creator>Barizon, Gustavo C.</creator><creator>Da S Senra Filho, Antonio Carlos</creator><creator>Simoes, Marcus Vinicius</creator><creator>Schmidt, Andre</creator><creator>Gadioli, Leonardo P.</creator><creator>Murta Junior, Luiz O.</creator><general>CCAL</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201409</creationdate><title>Tissue characterization from myocardial perfusion and autonomic innervation using MRI and SPECT images in chagas disease</title><author>Barizon, Gustavo C. ; Da S Senra Filho, Antonio Carlos ; Simoes, Marcus Vinicius ; Schmidt, Andre ; Gadioli, Leonardo P. ; Murta Junior, Luiz O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_70432003</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Correlation</topic><topic>Diseases</topic><topic>Image segmentation</topic><topic>Injuries</topic><topic>Magnetic resonance imaging</topic><topic>Myocardium</topic><topic>Single photon emission computed tomography</topic><toplevel>online_resources</toplevel><creatorcontrib>Barizon, Gustavo C.</creatorcontrib><creatorcontrib>Da S Senra Filho, Antonio Carlos</creatorcontrib><creatorcontrib>Simoes, Marcus Vinicius</creatorcontrib><creatorcontrib>Schmidt, Andre</creatorcontrib><creatorcontrib>Gadioli, Leonardo P.</creatorcontrib><creatorcontrib>Murta Junior, Luiz O.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore / Electronic Library Online (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Barizon, Gustavo C.</au><au>Da S Senra Filho, Antonio Carlos</au><au>Simoes, Marcus Vinicius</au><au>Schmidt, Andre</au><au>Gadioli, Leonardo P.</au><au>Murta Junior, Luiz O.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Tissue characterization from myocardial perfusion and autonomic innervation using MRI and SPECT images in chagas disease</atitle><btitle>Computing in Cardiology 2014</btitle><stitle>CIC</stitle><date>2014-09</date><risdate>2014</risdate><spage>945</spage><epage>948</epage><pages>945-948</pages><issn>0276-6574</issn><isbn>9781479943463</isbn><isbn>1479943460</isbn><eisbn>1479943479</eisbn><eisbn>9781479943470</eisbn><abstract>Chagas disease is of major clinical relevance, with high incidence.The relation between the myocardial tissue damage, myocardial perfusion and defects in the autonomic innervations is poorly understood. This work proposes the development and application of image analysis methods capable of providing an integrated visualization and analysis of tissue injuries through magnetic resonance imaging (MRI), autonomic innervations and myocardial perfusion, available through photon emission tomography (SPECT). This paper describes and evaluates a method for tissue characterization and quantication. The proposed method is based on segmentation of MRI and registration between MRI images and SPECT images using metaiodobenzylguanidine (MIBG) and 99Tc (m)-methoxy-isobutyl-isonitrile (MIBI). To perform the segmentation of myocardium, we used Geodesic Active Contour. Fibrosis segmentation in MRI images was performed based on the algorithm of maximum Tsallis entropy. Nonrigid registrations was performed based on B-Spline method. Initially, the registration was made between SPECT images using 99Tc (m)-MIBI and MIBG. Then MRI volumes were registered with SPECT images. It is possible to observe regions of brosis and with absence or low synaptic activity comparatively to myocardial perfusion. The relationship of regions of fibrosis and regions with absence of synaptic activity was obtained by Kendall correlation, which provided a correlation coefficient of 0.8788. Thus, the developed tool provides an integrated analysis of information contributing to a better understanding of the relationship between myocardial tissue damage and autonomic innervations injuries caused by Chagas disease.</abstract><pub>CCAL</pub></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0276-6574
ispartof Computing in Cardiology 2014, 2014, p.945-948
issn 0276-6574
language eng
recordid cdi_ieee_primary_7043200
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Correlation
Diseases
Image segmentation
Injuries
Magnetic resonance imaging
Myocardium
Single photon emission computed tomography
title Tissue characterization from myocardial perfusion and autonomic innervation using MRI and SPECT images in chagas disease
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T08%3A57%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Tissue%20characterization%20from%20myocardial%20perfusion%20and%20autonomic%20innervation%20using%20MRI%20and%20SPECT%20images%20in%20chagas%20disease&rft.btitle=Computing%20in%20Cardiology%202014&rft.au=Barizon,%20Gustavo%20C.&rft.date=2014-09&rft.spage=945&rft.epage=948&rft.pages=945-948&rft.issn=0276-6574&rft.isbn=9781479943463&rft.isbn_list=1479943460&rft_id=info:doi/&rft.eisbn=1479943479&rft.eisbn_list=9781479943470&rft_dat=%3Cieee_6IE%3E7043200%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-ieee_primary_70432003%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=7043200&rfr_iscdi=true