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Fractal Analysis of Periapical Bone from Lossy Compressed Radiographs: A Comparison of Two Lossy Compression Methods
The aim of the study was to evaluate the effect of two lossy image compression methods on fractal dimension (FD) calculation. Ten periapical images of the posterior teeth with no restorations or previous root canal therapy were obtained using storage phosphor plates and were saved in TIF format. The...
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Published in: | Journal of digital imaging 2011-12, Vol.24 (6), p.993-998 |
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description | The aim of the study was to evaluate the effect of two lossy image compression methods on fractal dimension (FD) calculation. Ten periapical images of the posterior teeth with no restorations or previous root canal therapy were obtained using storage phosphor plates and were saved in TIF format. Then, all images were compressed with lossy JPEG and JPEG2000 compression methods at five compression levels, i.e., 90, 70, 50, 30, and 10. Compressed file sizes from all images and compression ratios were calculated. On each image, two regions of interest (ROIs) containing healthy trabecular bone in the posterior periapical area were selected. The FD of each ROI on the original and compressed images was calculated using differential box counting method. Both image compression and analysis were performed by a public domain software. Altogether, the FD of 220 ROIs was calculated. FDs were compared using ANOVA and Dunnett tests. The FD decreased gradually with compression level. A statistically significant decrease of the FD values was found for JPEG 10, JPEG2000 10, and JPEG2000 30 compression levels (
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p
< 0.05). At comparable file sizes, the JPEG induced a smaller FD difference. In conclusion, lossy compressed images with appropriate compression level may be used for FD calculation.</description><identifier>ISSN: 0897-1889</identifier><identifier>EISSN: 1618-727X</identifier><identifier>DOI: 10.1007/s10278-011-9383-0</identifier><identifier>PMID: 21465294</identifier><language>eng</language><publisher>New York: Springer-Verlag</publisher><subject>Alveolar Bone Loss - diagnostic imaging ; Analysis of Variance ; Bones ; Compressed ; Compressing ; Data Compression - methods ; Fractal analysis ; Fractals ; Humans ; Image compression ; Imaging ; In Vitro Techniques ; JPEG encoders-decoders ; Mandible ; Mathematical analysis ; Medicine ; Medicine & Public Health ; Radiography, Dental, Digital - methods ; Radiology ; Radiology Information Systems</subject><ispartof>Journal of digital imaging, 2011-12, Vol.24 (6), p.993-998</ispartof><rights>Society for Imaging Informatics in Medicine 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c567t-6f730f8845ea350eb92b5123919954b6f402369380f114b51a7e7355f625f03e3</citedby><cites>FETCH-LOGICAL-c567t-6f730f8845ea350eb92b5123919954b6f402369380f114b51a7e7355f625f03e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222549/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222549/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21465294$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baksi, B. Güniz</creatorcontrib><creatorcontrib>Fidler, Aleš</creatorcontrib><title>Fractal Analysis of Periapical Bone from Lossy Compressed Radiographs: A Comparison of Two Lossy Compression Methods</title><title>Journal of digital imaging</title><addtitle>J Digit Imaging</addtitle><addtitle>J Digit Imaging</addtitle><description>The aim of the study was to evaluate the effect of two lossy image compression methods on fractal dimension (FD) calculation. Ten periapical images of the posterior teeth with no restorations or previous root canal therapy were obtained using storage phosphor plates and were saved in TIF format. Then, all images were compressed with lossy JPEG and JPEG2000 compression methods at five compression levels, i.e., 90, 70, 50, 30, and 10. Compressed file sizes from all images and compression ratios were calculated. On each image, two regions of interest (ROIs) containing healthy trabecular bone in the posterior periapical area were selected. The FD of each ROI on the original and compressed images was calculated using differential box counting method. Both image compression and analysis were performed by a public domain software. Altogether, the FD of 220 ROIs was calculated. FDs were compared using ANOVA and Dunnett tests. The FD decreased gradually with compression level. A statistically significant decrease of the FD values was found for JPEG 10, JPEG2000 10, and JPEG2000 30 compression levels (
p
< 0.05). At comparable file sizes, the JPEG induced a smaller FD difference. In conclusion, lossy compressed images with appropriate compression level may be used for FD calculation.</description><subject>Alveolar Bone Loss - diagnostic imaging</subject><subject>Analysis of Variance</subject><subject>Bones</subject><subject>Compressed</subject><subject>Compressing</subject><subject>Data Compression - methods</subject><subject>Fractal analysis</subject><subject>Fractals</subject><subject>Humans</subject><subject>Image compression</subject><subject>Imaging</subject><subject>In Vitro Techniques</subject><subject>JPEG encoders-decoders</subject><subject>Mandible</subject><subject>Mathematical analysis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Radiography, Dental, Digital - methods</subject><subject>Radiology</subject><subject>Radiology Information Systems</subject><issn>0897-1889</issn><issn>1618-727X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kVFv0zAUhS3ExLrBD-AFRbywl8C9dhzbPCCVisGkIhAaEm-Wm9qtpyQOdgrqv8dZx2CT4MmSz3eOfe8h5CnCSwQQrxICFbIExFIxyUp4QGZYoywFFd8ekhlIJUqUUh2Tk5SuAFBwUT0ixxSrmlNVzch4Hk0zmraY96bdJ5-K4IrPNnoz-CZfvw29LVwMXbEMKe2LReiGaFOy6-KLWfuwiWbYptfF_Fox0afQTxGXP8M9h8_CRztuwzo9JkfOtMk-uTlPydfzd5eLD-Xy0_uLxXxZNrwWY1k7wcBJWXFrGAe7UnTFkTKFSvFqVbsKKKvz5OAQqywZYQXj3NWUO2CWnZI3h9xht-rsurH9GE2rh-g7E_c6GK_vKr3f6k34oRmllFcqB7y4CYjh-86mUXc-NbZtTW_DLmkFrOaCI8vk2X9JBFQ1VYxOoc_voVdhF_P6pzwqKQWADOEBamLeYrTu9tcIeipfH8rXuXw9la8nz7O_x711_G47A_QApCz1Gxv_vPzv1F89p7nH</recordid><startdate>20111201</startdate><enddate>20111201</enddate><creator>Baksi, B. 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Güniz ; Fidler, Aleš</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c567t-6f730f8845ea350eb92b5123919954b6f402369380f114b51a7e7355f625f03e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Alveolar Bone Loss - diagnostic imaging</topic><topic>Analysis of Variance</topic><topic>Bones</topic><topic>Compressed</topic><topic>Compressing</topic><topic>Data Compression - methods</topic><topic>Fractal analysis</topic><topic>Fractals</topic><topic>Humans</topic><topic>Image compression</topic><topic>Imaging</topic><topic>In Vitro Techniques</topic><topic>JPEG encoders-decoders</topic><topic>Mandible</topic><topic>Mathematical analysis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Radiography, Dental, Digital - methods</topic><topic>Radiology</topic><topic>Radiology Information Systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baksi, B. 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Güniz</au><au>Fidler, Aleš</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fractal Analysis of Periapical Bone from Lossy Compressed Radiographs: A Comparison of Two Lossy Compression Methods</atitle><jtitle>Journal of digital imaging</jtitle><stitle>J Digit Imaging</stitle><addtitle>J Digit Imaging</addtitle><date>2011-12-01</date><risdate>2011</risdate><volume>24</volume><issue>6</issue><spage>993</spage><epage>998</epage><pages>993-998</pages><issn>0897-1889</issn><eissn>1618-727X</eissn><abstract>The aim of the study was to evaluate the effect of two lossy image compression methods on fractal dimension (FD) calculation. Ten periapical images of the posterior teeth with no restorations or previous root canal therapy were obtained using storage phosphor plates and were saved in TIF format. Then, all images were compressed with lossy JPEG and JPEG2000 compression methods at five compression levels, i.e., 90, 70, 50, 30, and 10. Compressed file sizes from all images and compression ratios were calculated. On each image, two regions of interest (ROIs) containing healthy trabecular bone in the posterior periapical area were selected. The FD of each ROI on the original and compressed images was calculated using differential box counting method. Both image compression and analysis were performed by a public domain software. Altogether, the FD of 220 ROIs was calculated. FDs were compared using ANOVA and Dunnett tests. The FD decreased gradually with compression level. A statistically significant decrease of the FD values was found for JPEG 10, JPEG2000 10, and JPEG2000 30 compression levels (
p
< 0.05). At comparable file sizes, the JPEG induced a smaller FD difference. In conclusion, lossy compressed images with appropriate compression level may be used for FD calculation.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>21465294</pmid><doi>10.1007/s10278-011-9383-0</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alveolar Bone Loss - diagnostic imaging Analysis of Variance Bones Compressed Compressing Data Compression - methods Fractal analysis Fractals Humans Image compression Imaging In Vitro Techniques JPEG encoders-decoders Mandible Mathematical analysis Medicine Medicine & Public Health Radiography, Dental, Digital - methods Radiology Radiology Information Systems |
title | Fractal Analysis of Periapical Bone from Lossy Compressed Radiographs: A Comparison of Two Lossy Compression Methods |
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