Development of an automated liver-outline-extraction method for EOB-enhanced MRI images
The irregular form of surface of liver is one of the important signs in diagnosing fibrosis on images. A pathologist performs the definitive confirmed diagnosis of fibrosis by evaluating F-Grade with in the hepatic tissue of a liver biopsy. In this study, we developed a technique of automatically ex...
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| Veröffentlicht in: | Medical Imaging and Information Sciences 2013, Vol.30(3), pp.57-62 |
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| creator | KOBAYASHI, Tatsunori FURUKAWA, Takahiro GOSHIMA, Satoshi ZHANG, Xuejun HARA, Takeshi ZHOU, Xiangrong MURAMATSU, Chisako KONDO, Hiroshi KANEMATSU, Masayuki FUJITA, Hiroshi |
| description | The irregular form of surface of liver is one of the important signs in diagnosing fibrosis on images. A pathologist performs the definitive confirmed diagnosis of fibrosis by evaluating F-Grade with in the hepatic tissue of a liver biopsy. In this study, we developed a technique of automatically extracting a liver outline on EOB-enhanced hepatocyte-phase MRI images. After enhancing the liver edges using the unsharp-masking filter, the proposed method extracts the liver region automatically using the p-tile method. Next, the liver outline is automatically delineated by outline-determination processing. The F-Grade classification can be performed by the mean SD of the differences in positions between an outline and its polynomial fitting curve. The proposed technique was applied to 64 cases (F0: 9, F1: 15, F2: 12, F3: 11, and F4: 17) . The average error of automatic outlines to the manual outlines extracted by a radiologist was 0.78 mm (F0: 0.70 mm, F1: 0.77 mm, F2: 0.78 mm, F3: 0.71 mm, and F4: 0.86 mm) . The mean SD was significantly higher in the F3 group than in the F2 group (p |
| doi_str_mv | 10.11318/mii.30.57 |
| format | Article |
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A pathologist performs the definitive confirmed diagnosis of fibrosis by evaluating F-Grade with in the hepatic tissue of a liver biopsy. In this study, we developed a technique of automatically extracting a liver outline on EOB-enhanced hepatocyte-phase MRI images. After enhancing the liver edges using the unsharp-masking filter, the proposed method extracts the liver region automatically using the p-tile method. Next, the liver outline is automatically delineated by outline-determination processing. The F-Grade classification can be performed by the mean SD of the differences in positions between an outline and its polynomial fitting curve. The proposed technique was applied to 64 cases (F0: 9, F1: 15, F2: 12, F3: 11, and F4: 17) . The average error of automatic outlines to the manual outlines extracted by a radiologist was 0.78 mm (F0: 0.70 mm, F1: 0.77 mm, F2: 0.78 mm, F3: 0.71 mm, and F4: 0.86 mm) . The mean SD was significantly higher in the F3 group than in the F2 group (p<0.05, Tukey test) . In conclusion, the proposed technique may be useful for automatic classification of F-Grade on EOB enhanced MRI images.</description><identifier>ISSN: 0910-1543</identifier><identifier>EISSN: 1880-4977</identifier><identifier>DOI: 10.11318/mii.30.57</identifier><language>eng ; jpn</language><publisher>Gifu: MEDICAL IMAGING AND INFORMATION SCIENCES</publisher><subject>Fibrosis ; Gd-EOB-DTPA ; Hepatocyte-phase MRI image ; Liver outline</subject><ispartof>Medical Imaging and Information Sciences, 2013, Vol.30(3), pp.57-62</ispartof><rights>2013 by Japan Society of Medical Imaging and Information Sciences</rights><rights>Copyright Japan Science and Technology Agency 2013</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4022,27921,27922,27923</link.rule.ids></links><search><creatorcontrib>KOBAYASHI, Tatsunori</creatorcontrib><creatorcontrib>FURUKAWA, Takahiro</creatorcontrib><creatorcontrib>GOSHIMA, Satoshi</creatorcontrib><creatorcontrib>ZHANG, Xuejun</creatorcontrib><creatorcontrib>HARA, Takeshi</creatorcontrib><creatorcontrib>ZHOU, Xiangrong</creatorcontrib><creatorcontrib>MURAMATSU, Chisako</creatorcontrib><creatorcontrib>KONDO, Hiroshi</creatorcontrib><creatorcontrib>KANEMATSU, Masayuki</creatorcontrib><creatorcontrib>FUJITA, Hiroshi</creatorcontrib><title>Development of an automated liver-outline-extraction method for EOB-enhanced MRI images</title><title>Medical Imaging and Information Sciences</title><addtitle>Medical Imaging and Information Sciences</addtitle><description>The irregular form of surface of liver is one of the important signs in diagnosing fibrosis on images. A pathologist performs the definitive confirmed diagnosis of fibrosis by evaluating F-Grade with in the hepatic tissue of a liver biopsy. In this study, we developed a technique of automatically extracting a liver outline on EOB-enhanced hepatocyte-phase MRI images. After enhancing the liver edges using the unsharp-masking filter, the proposed method extracts the liver region automatically using the p-tile method. Next, the liver outline is automatically delineated by outline-determination processing. The F-Grade classification can be performed by the mean SD of the differences in positions between an outline and its polynomial fitting curve. The proposed technique was applied to 64 cases (F0: 9, F1: 15, F2: 12, F3: 11, and F4: 17) . The average error of automatic outlines to the manual outlines extracted by a radiologist was 0.78 mm (F0: 0.70 mm, F1: 0.77 mm, F2: 0.78 mm, F3: 0.71 mm, and F4: 0.86 mm) . The mean SD was significantly higher in the F3 group than in the F2 group (p<0.05, Tukey test) . In conclusion, the proposed technique may be useful for automatic classification of F-Grade on EOB enhanced MRI images.</description><subject>Fibrosis</subject><subject>Gd-EOB-DTPA</subject><subject>Hepatocyte-phase MRI image</subject><subject>Liver outline</subject><issn>0910-1543</issn><issn>1880-4977</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNo9kMFKAzEQQIMoWGovfkHAc2rSbDYJeNFatVApiOIxpLuzNmU3qdls0b83UvEyA8ObmTeD0CWjU8Y4U9edc1NOp0KeoBFTipJCS3mKRlQzSpgo-Dma9L3bUEqVZFqoEXq_hwO0Yd-BTzg02HpshxQ6m6DGrTtAJGFIrfNA4CtFWyUXPO4gbUONmxDxYn1HwG-tr3LD88sSu85-QH-Bzhrb9jD5y2P09rB4nT-R1fpxOb9dkR1jdEZgwzRIUZZK6aKuSg1QqKoUSs1KqpqmLiSU3Np8DBVZmds6k7oWIGhjG8rH6Oo4dx_D5wB9MrswRJ9XGlZIRUuhxSxTN0dq16dsZ_YxW8ZvY2NyVQsmP85wavhvEPK_XG1tNOD5DwvZaQM</recordid><startdate>2013</startdate><enddate>2013</enddate><creator>KOBAYASHI, Tatsunori</creator><creator>FURUKAWA, Takahiro</creator><creator>GOSHIMA, Satoshi</creator><creator>ZHANG, Xuejun</creator><creator>HARA, Takeshi</creator><creator>ZHOU, Xiangrong</creator><creator>MURAMATSU, Chisako</creator><creator>KONDO, Hiroshi</creator><creator>KANEMATSU, Masayuki</creator><creator>FUJITA, Hiroshi</creator><general>MEDICAL IMAGING AND INFORMATION SCIENCES</general><general>Japan Science and Technology Agency</general><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>P64</scope></search><sort><creationdate>2013</creationdate><title>Development of an automated liver-outline-extraction method for EOB-enhanced MRI images</title><author>KOBAYASHI, Tatsunori ; FURUKAWA, Takahiro ; GOSHIMA, Satoshi ; ZHANG, Xuejun ; HARA, Takeshi ; ZHOU, Xiangrong ; MURAMATSU, Chisako ; KONDO, Hiroshi ; KANEMATSU, Masayuki ; FUJITA, Hiroshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j1102-eb19e75668894dc69ee48c65882608ffd47e63aa880057193ad8899d5e50faf03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; jpn</language><creationdate>2013</creationdate><topic>Fibrosis</topic><topic>Gd-EOB-DTPA</topic><topic>Hepatocyte-phase MRI image</topic><topic>Liver outline</topic><toplevel>online_resources</toplevel><creatorcontrib>KOBAYASHI, Tatsunori</creatorcontrib><creatorcontrib>FURUKAWA, Takahiro</creatorcontrib><creatorcontrib>GOSHIMA, Satoshi</creatorcontrib><creatorcontrib>ZHANG, Xuejun</creatorcontrib><creatorcontrib>HARA, Takeshi</creatorcontrib><creatorcontrib>ZHOU, Xiangrong</creatorcontrib><creatorcontrib>MURAMATSU, Chisako</creatorcontrib><creatorcontrib>KONDO, Hiroshi</creatorcontrib><creatorcontrib>KANEMATSU, Masayuki</creatorcontrib><creatorcontrib>FUJITA, Hiroshi</creatorcontrib><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Medical Imaging and Information Sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KOBAYASHI, Tatsunori</au><au>FURUKAWA, Takahiro</au><au>GOSHIMA, Satoshi</au><au>ZHANG, Xuejun</au><au>HARA, Takeshi</au><au>ZHOU, Xiangrong</au><au>MURAMATSU, Chisako</au><au>KONDO, Hiroshi</au><au>KANEMATSU, Masayuki</au><au>FUJITA, Hiroshi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of an automated liver-outline-extraction method for EOB-enhanced MRI images</atitle><jtitle>Medical Imaging and Information Sciences</jtitle><addtitle>Medical Imaging and Information Sciences</addtitle><date>2013</date><risdate>2013</risdate><volume>30</volume><issue>3</issue><spage>57</spage><epage>62</epage><pages>57-62</pages><issn>0910-1543</issn><eissn>1880-4977</eissn><abstract>The irregular form of surface of liver is one of the important signs in diagnosing fibrosis on images. A pathologist performs the definitive confirmed diagnosis of fibrosis by evaluating F-Grade with in the hepatic tissue of a liver biopsy. In this study, we developed a technique of automatically extracting a liver outline on EOB-enhanced hepatocyte-phase MRI images. After enhancing the liver edges using the unsharp-masking filter, the proposed method extracts the liver region automatically using the p-tile method. Next, the liver outline is automatically delineated by outline-determination processing. The F-Grade classification can be performed by the mean SD of the differences in positions between an outline and its polynomial fitting curve. The proposed technique was applied to 64 cases (F0: 9, F1: 15, F2: 12, F3: 11, and F4: 17) . The average error of automatic outlines to the manual outlines extracted by a radiologist was 0.78 mm (F0: 0.70 mm, F1: 0.77 mm, F2: 0.78 mm, F3: 0.71 mm, and F4: 0.86 mm) . The mean SD was significantly higher in the F3 group than in the F2 group (p<0.05, Tukey test) . In conclusion, the proposed technique may be useful for automatic classification of F-Grade on EOB enhanced MRI images.</abstract><cop>Gifu</cop><pub>MEDICAL IMAGING AND INFORMATION SCIENCES</pub><doi>10.11318/mii.30.57</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Fibrosis Gd-EOB-DTPA Hepatocyte-phase MRI image Liver outline |
| title | Development of an automated liver-outline-extraction method for EOB-enhanced MRI images |
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