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Automatic assessment of human gastric motility and emptying from dynamic 3D magnetic resonance imaging
Background Time‐sequenced magnetic resonance imaging (MRI) of the stomach is an emerging technique for non‐invasive assessment of gastric emptying and motility. However, an automated and systematic image processing pipeline for analyzing dynamic 3D (ie, 4D) gastric MRI data has not been established....
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| Published in: | Neurogastroenterology and motility 2022-01, Vol.34 (1), p.e14239-n/a |
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| container_start_page | e14239 |
| container_title | Neurogastroenterology and motility |
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| creator | Lu, Kun‐Han Liu, Zhongming Jaffey, Deborah Wo, John M. Mosier, Kristine M. Cao, Jiayue Wang, Xiaokai Powley, Terry L. |
| description | Background
Time‐sequenced magnetic resonance imaging (MRI) of the stomach is an emerging technique for non‐invasive assessment of gastric emptying and motility. However, an automated and systematic image processing pipeline for analyzing dynamic 3D (ie, 4D) gastric MRI data has not been established. This study uses an MRI protocol for imaging the stomach with high spatiotemporal resolution and provides a pipeline for assessing gastric emptying and motility.
Methods
Diet contrast‐enhanced MRI images were acquired from seventeen healthy humans after they consumed a naturalistic contrast meal. An automated image processing pipeline was developed to correct for respiratory motion, to segment and compartmentalize the lumen‐enhanced stomach, to quantify total gastric and compartmental emptying, and to compute and visualize gastric motility on the luminal surface of the stomach.
Key Results
The gastric segmentation reached an accuracy of 91.10 ± 0.43% with the Type‐I error and Type‐II error being 0.11 ± 0.01% and 0.22 ± 0.01%, respectively. Gastric volume decreased 34.64 ± 2.8% over 1 h where the emptying followed a linear‐exponential pattern. The gastric motility showed peristaltic patterns with a median = 4 wave fronts (range 3–6) and a mean frequency of 3.09 ± 0.07 cycles per minute. Further, the contractile amplitude was stronger in the antrum than in the corpus (antrum vs. corpus: 5.18 ± 0.24 vs. 3.30 ± 0.16 mm; p |
| doi_str_mv | 10.1111/nmo.14239 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2564492964</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2564492964</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3889-faa2778e6b02beeb90c305ceac42297d71398a4e545c52acde391ca5254422b83</originalsourceid><addsrcrecordid>eNp10MtO3DAUBmALgcow7YIXQJbYtIuAr0m8HEELSFw27dpynJMhKLYHO1GVt8fTGbpAwhtb9qdfxz9Cp5Rc0LwuvQsXVDCuDtCC8lIWTNXscHuWpKCKyWN0ktILIaRkovyCjrkQnNKKLlC3msbgzNhbbFKClBz4EYcOP0_OeLw2aYz5zYWxH_pxxsa3GNxmnHu_xl0MDrezNy4Tfo2dWXvYRkVIwRtvAff5LtOv6KgzQ4Jv-32J_vz6-fvqtrh_urm7Wt0Xlte1KjpjWFXVUDaENQCNIpYTacFYwZiq2opyVRsBUkgrmbEtcEWtkUyKDJqaL9H3Xe4mhtcJ0qhdnywMg_EQpqSZLIVQTJUi0_MP9CVM0efpNCtpzaigFcvqx07ZGFKK0OlNzH-Ks6ZEb8vXuXz9r_xsz_aJU-Og_S_f287gcgf-9gPMnyfpx4enXeQbXNuOZQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2618214172</pqid></control><display><type>article</type><title>Automatic assessment of human gastric motility and emptying from dynamic 3D magnetic resonance imaging</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Lu, Kun‐Han ; Liu, Zhongming ; Jaffey, Deborah ; Wo, John M. ; Mosier, Kristine M. ; Cao, Jiayue ; Wang, Xiaokai ; Powley, Terry L.</creator><creatorcontrib>Lu, Kun‐Han ; Liu, Zhongming ; Jaffey, Deborah ; Wo, John M. ; Mosier, Kristine M. ; Cao, Jiayue ; Wang, Xiaokai ; Powley, Terry L.</creatorcontrib><description>Background
Time‐sequenced magnetic resonance imaging (MRI) of the stomach is an emerging technique for non‐invasive assessment of gastric emptying and motility. However, an automated and systematic image processing pipeline for analyzing dynamic 3D (ie, 4D) gastric MRI data has not been established. This study uses an MRI protocol for imaging the stomach with high spatiotemporal resolution and provides a pipeline for assessing gastric emptying and motility.
Methods
Diet contrast‐enhanced MRI images were acquired from seventeen healthy humans after they consumed a naturalistic contrast meal. An automated image processing pipeline was developed to correct for respiratory motion, to segment and compartmentalize the lumen‐enhanced stomach, to quantify total gastric and compartmental emptying, and to compute and visualize gastric motility on the luminal surface of the stomach.
Key Results
The gastric segmentation reached an accuracy of 91.10 ± 0.43% with the Type‐I error and Type‐II error being 0.11 ± 0.01% and 0.22 ± 0.01%, respectively. Gastric volume decreased 34.64 ± 2.8% over 1 h where the emptying followed a linear‐exponential pattern. The gastric motility showed peristaltic patterns with a median = 4 wave fronts (range 3–6) and a mean frequency of 3.09 ± 0.07 cycles per minute. Further, the contractile amplitude was stronger in the antrum than in the corpus (antrum vs. corpus: 5.18 ± 0.24 vs. 3.30 ± 0.16 mm; p < 0.001).
Conclusions & Inferences
Our analysis pipeline can process dynamic 3D MRI images and produce personalized profiles of gastric motility and emptying. It will facilitate the application of MRI for monitoring gastric dynamics in research and clinical settings.
Automatic MRI assessment of human gastric motility and emptying: We present a robust methodology for using high‐resolution contrast‐enhanced magnetic resonance imaging (MRI) to non‐invasively and quantitatively assess gastric emptying and motility in healthy humans. Our algorithms collect 3D MRI scans in real time and provide a high‐resolution mapping of motility patterns onto the 3D‐reconstructed GI tract.</description><identifier>ISSN: 1350-1925</identifier><identifier>EISSN: 1365-2982</identifier><identifier>DOI: 10.1111/nmo.14239</identifier><identifier>PMID: 34431171</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adult ; Automation ; Contractility ; Digestion - physiology ; Female ; Gastric emptying ; Gastric Emptying - physiology ; Gastric motility ; Gastrointestinal Motility - physiology ; Humans ; Image processing ; Image Processing, Computer-Assisted ; image segmentation ; luminal wall motion analysis ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Motility ; respiratory motion correction ; Segmentation ; Stomach ; Stomach - diagnostic imaging ; Stomach - physiology ; Young Adult</subject><ispartof>Neurogastroenterology and motility, 2022-01, Vol.34 (1), p.e14239-n/a</ispartof><rights>2021 John Wiley & Sons Ltd</rights><rights>2021 John Wiley & Sons Ltd.</rights><rights>Copyright © 2022 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3889-faa2778e6b02beeb90c305ceac42297d71398a4e545c52acde391ca5254422b83</citedby><cites>FETCH-LOGICAL-c3889-faa2778e6b02beeb90c305ceac42297d71398a4e545c52acde391ca5254422b83</cites><orcidid>0000-0002-0355-8515 ; 0000-0001-6689-7058</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34431171$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lu, Kun‐Han</creatorcontrib><creatorcontrib>Liu, Zhongming</creatorcontrib><creatorcontrib>Jaffey, Deborah</creatorcontrib><creatorcontrib>Wo, John M.</creatorcontrib><creatorcontrib>Mosier, Kristine M.</creatorcontrib><creatorcontrib>Cao, Jiayue</creatorcontrib><creatorcontrib>Wang, Xiaokai</creatorcontrib><creatorcontrib>Powley, Terry L.</creatorcontrib><title>Automatic assessment of human gastric motility and emptying from dynamic 3D magnetic resonance imaging</title><title>Neurogastroenterology and motility</title><addtitle>Neurogastroenterol Motil</addtitle><description>Background
Time‐sequenced magnetic resonance imaging (MRI) of the stomach is an emerging technique for non‐invasive assessment of gastric emptying and motility. However, an automated and systematic image processing pipeline for analyzing dynamic 3D (ie, 4D) gastric MRI data has not been established. This study uses an MRI protocol for imaging the stomach with high spatiotemporal resolution and provides a pipeline for assessing gastric emptying and motility.
Methods
Diet contrast‐enhanced MRI images were acquired from seventeen healthy humans after they consumed a naturalistic contrast meal. An automated image processing pipeline was developed to correct for respiratory motion, to segment and compartmentalize the lumen‐enhanced stomach, to quantify total gastric and compartmental emptying, and to compute and visualize gastric motility on the luminal surface of the stomach.
Key Results
The gastric segmentation reached an accuracy of 91.10 ± 0.43% with the Type‐I error and Type‐II error being 0.11 ± 0.01% and 0.22 ± 0.01%, respectively. Gastric volume decreased 34.64 ± 2.8% over 1 h where the emptying followed a linear‐exponential pattern. The gastric motility showed peristaltic patterns with a median = 4 wave fronts (range 3–6) and a mean frequency of 3.09 ± 0.07 cycles per minute. Further, the contractile amplitude was stronger in the antrum than in the corpus (antrum vs. corpus: 5.18 ± 0.24 vs. 3.30 ± 0.16 mm; p < 0.001).
Conclusions & Inferences
Our analysis pipeline can process dynamic 3D MRI images and produce personalized profiles of gastric motility and emptying. It will facilitate the application of MRI for monitoring gastric dynamics in research and clinical settings.
Automatic MRI assessment of human gastric motility and emptying: We present a robust methodology for using high‐resolution contrast‐enhanced magnetic resonance imaging (MRI) to non‐invasively and quantitatively assess gastric emptying and motility in healthy humans. Our algorithms collect 3D MRI scans in real time and provide a high‐resolution mapping of motility patterns onto the 3D‐reconstructed GI tract.</description><subject>Adult</subject><subject>Automation</subject><subject>Contractility</subject><subject>Digestion - physiology</subject><subject>Female</subject><subject>Gastric emptying</subject><subject>Gastric Emptying - physiology</subject><subject>Gastric motility</subject><subject>Gastrointestinal Motility - physiology</subject><subject>Humans</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted</subject><subject>image segmentation</subject><subject>luminal wall motion analysis</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Motility</subject><subject>respiratory motion correction</subject><subject>Segmentation</subject><subject>Stomach</subject><subject>Stomach - diagnostic imaging</subject><subject>Stomach - physiology</subject><subject>Young Adult</subject><issn>1350-1925</issn><issn>1365-2982</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp10MtO3DAUBmALgcow7YIXQJbYtIuAr0m8HEELSFw27dpynJMhKLYHO1GVt8fTGbpAwhtb9qdfxz9Cp5Rc0LwuvQsXVDCuDtCC8lIWTNXscHuWpKCKyWN0ktILIaRkovyCjrkQnNKKLlC3msbgzNhbbFKClBz4EYcOP0_OeLw2aYz5zYWxH_pxxsa3GNxmnHu_xl0MDrezNy4Tfo2dWXvYRkVIwRtvAff5LtOv6KgzQ4Jv-32J_vz6-fvqtrh_urm7Wt0Xlte1KjpjWFXVUDaENQCNIpYTacFYwZiq2opyVRsBUkgrmbEtcEWtkUyKDJqaL9H3Xe4mhtcJ0qhdnywMg_EQpqSZLIVQTJUi0_MP9CVM0efpNCtpzaigFcvqx07ZGFKK0OlNzH-Ks6ZEb8vXuXz9r_xsz_aJU-Og_S_f287gcgf-9gPMnyfpx4enXeQbXNuOZQ</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Lu, Kun‐Han</creator><creator>Liu, Zhongming</creator><creator>Jaffey, Deborah</creator><creator>Wo, John M.</creator><creator>Mosier, Kristine M.</creator><creator>Cao, Jiayue</creator><creator>Wang, Xiaokai</creator><creator>Powley, Terry L.</creator><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>7TK</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0355-8515</orcidid><orcidid>https://orcid.org/0000-0001-6689-7058</orcidid></search><sort><creationdate>202201</creationdate><title>Automatic assessment of human gastric motility and emptying from dynamic 3D magnetic resonance imaging</title><author>Lu, Kun‐Han ; Liu, Zhongming ; Jaffey, Deborah ; Wo, John M. ; Mosier, Kristine M. ; Cao, Jiayue ; Wang, Xiaokai ; Powley, Terry L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3889-faa2778e6b02beeb90c305ceac42297d71398a4e545c52acde391ca5254422b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adult</topic><topic>Automation</topic><topic>Contractility</topic><topic>Digestion - physiology</topic><topic>Female</topic><topic>Gastric emptying</topic><topic>Gastric Emptying - physiology</topic><topic>Gastric motility</topic><topic>Gastrointestinal Motility - physiology</topic><topic>Humans</topic><topic>Image processing</topic><topic>Image Processing, Computer-Assisted</topic><topic>image segmentation</topic><topic>luminal wall motion analysis</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Motility</topic><topic>respiratory motion correction</topic><topic>Segmentation</topic><topic>Stomach</topic><topic>Stomach - diagnostic imaging</topic><topic>Stomach - physiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Kun‐Han</creatorcontrib><creatorcontrib>Liu, Zhongming</creatorcontrib><creatorcontrib>Jaffey, Deborah</creatorcontrib><creatorcontrib>Wo, John M.</creatorcontrib><creatorcontrib>Mosier, Kristine M.</creatorcontrib><creatorcontrib>Cao, Jiayue</creatorcontrib><creatorcontrib>Wang, Xiaokai</creatorcontrib><creatorcontrib>Powley, Terry L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Neurogastroenterology and motility</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Kun‐Han</au><au>Liu, Zhongming</au><au>Jaffey, Deborah</au><au>Wo, John M.</au><au>Mosier, Kristine M.</au><au>Cao, Jiayue</au><au>Wang, Xiaokai</au><au>Powley, Terry L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic assessment of human gastric motility and emptying from dynamic 3D magnetic resonance imaging</atitle><jtitle>Neurogastroenterology and motility</jtitle><addtitle>Neurogastroenterol Motil</addtitle><date>2022-01</date><risdate>2022</risdate><volume>34</volume><issue>1</issue><spage>e14239</spage><epage>n/a</epage><pages>e14239-n/a</pages><issn>1350-1925</issn><eissn>1365-2982</eissn><abstract>Background
Time‐sequenced magnetic resonance imaging (MRI) of the stomach is an emerging technique for non‐invasive assessment of gastric emptying and motility. However, an automated and systematic image processing pipeline for analyzing dynamic 3D (ie, 4D) gastric MRI data has not been established. This study uses an MRI protocol for imaging the stomach with high spatiotemporal resolution and provides a pipeline for assessing gastric emptying and motility.
Methods
Diet contrast‐enhanced MRI images were acquired from seventeen healthy humans after they consumed a naturalistic contrast meal. An automated image processing pipeline was developed to correct for respiratory motion, to segment and compartmentalize the lumen‐enhanced stomach, to quantify total gastric and compartmental emptying, and to compute and visualize gastric motility on the luminal surface of the stomach.
Key Results
The gastric segmentation reached an accuracy of 91.10 ± 0.43% with the Type‐I error and Type‐II error being 0.11 ± 0.01% and 0.22 ± 0.01%, respectively. Gastric volume decreased 34.64 ± 2.8% over 1 h where the emptying followed a linear‐exponential pattern. The gastric motility showed peristaltic patterns with a median = 4 wave fronts (range 3–6) and a mean frequency of 3.09 ± 0.07 cycles per minute. Further, the contractile amplitude was stronger in the antrum than in the corpus (antrum vs. corpus: 5.18 ± 0.24 vs. 3.30 ± 0.16 mm; p < 0.001).
Conclusions & Inferences
Our analysis pipeline can process dynamic 3D MRI images and produce personalized profiles of gastric motility and emptying. It will facilitate the application of MRI for monitoring gastric dynamics in research and clinical settings.
Automatic MRI assessment of human gastric motility and emptying: We present a robust methodology for using high‐resolution contrast‐enhanced magnetic resonance imaging (MRI) to non‐invasively and quantitatively assess gastric emptying and motility in healthy humans. Our algorithms collect 3D MRI scans in real time and provide a high‐resolution mapping of motility patterns onto the 3D‐reconstructed GI tract.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>34431171</pmid><doi>10.1111/nmo.14239</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-0355-8515</orcidid><orcidid>https://orcid.org/0000-0001-6689-7058</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Neurogastroenterology and motility, 2022-01, Vol.34 (1), p.e14239-n/a |
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| source | Wiley-Blackwell Read & Publish Collection |
| subjects | Adult Automation Contractility Digestion - physiology Female Gastric emptying Gastric Emptying - physiology Gastric motility Gastrointestinal Motility - physiology Humans Image processing Image Processing, Computer-Assisted image segmentation luminal wall motion analysis Magnetic Resonance Imaging Male Middle Aged Motility respiratory motion correction Segmentation Stomach Stomach - diagnostic imaging Stomach - physiology Young Adult |
| title | Automatic assessment of human gastric motility and emptying from dynamic 3D magnetic resonance imaging |
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