Image Reconstruction with Limited Angle Projection Data
A new image reconstruction technique for computed tomography is described. Projection data obtained by a smaller angle rotation less than 180 degrees around the object are used to make the image. The main feature of the method is the estimation of missing region in the Fourier transformed domain by...
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| Veröffentlicht in: | IEEE transactions on nuclear science 1979-04, Vol.26 (2), p.2665-2669 |
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| container_end_page | 2669 |
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| container_issue | 2 |
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| container_title | IEEE transactions on nuclear science |
| container_volume | 26 |
| creator | Inouye, Tamon |
| description | A new image reconstruction technique for computed tomography is described. Projection data obtained by a smaller angle rotation less than 180 degrees around the object are used to make the image. The main feature of the method is the estimation of missing region in the Fourier transformed domain by extrapolation employing analytic continuity. Numerical simulations were carried out using computer generated pattern data. The results show strong effects of the content of noisy component on the reconstructed image. The method might be, however, practically applied to some real fields for medical diagnosis. |
| doi_str_mv | 10.1109/TNS.1979.4330507 |
| format | Article |
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Projection data obtained by a smaller angle rotation less than 180 degrees around the object are used to make the image. The main feature of the method is the estimation of missing region in the Fourier transformed domain by extrapolation employing analytic continuity. Numerical simulations were carried out using computer generated pattern data. The results show strong effects of the content of noisy component on the reconstructed image. 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Projection data obtained by a smaller angle rotation less than 180 degrees around the object are used to make the image. The main feature of the method is the estimation of missing region in the Fourier transformed domain by extrapolation employing analytic continuity. Numerical simulations were carried out using computer generated pattern data. The results show strong effects of the content of noisy component on the reconstructed image. The method might be, however, practically applied to some real fields for medical diagnosis.</description><subject>Computed tomography</subject><subject>Extrapolation</subject><subject>Fourier series</subject><subject>Fourier transforms</subject><subject>Image reconstruction</subject><subject>Medical diagnosis</subject><subject>Numerical simulation</subject><subject>X-ray imaging</subject><issn>0018-9499</issn><issn>1558-1578</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1979</creationdate><recordtype>article</recordtype><recordid>eNo9z9FKwzAUBuAgCtbpveBNX6A1aZImuRxT52Co6LwOSXoyM9ZWkor49nZ0enU4_Oc_8CF0TXBJCFa3m6e3kiihSkYp5licoIxwLgvChTxFGcZEFoopdY4uUtqNK-OYZ0isWrOF_BVc36Uhfrkh9F3-HYaPfB3aMECTz7vtHvKX2O9gSu_MYC7RmTf7BFfHOUPvD_ebxWOxfl6uFvN14aqaDoWn1lkGVDbAmLRWStqwqqkFFUSBtwxDBaoWtfcNdXQEUEuEq9ioMFbVdIbw9NfFPqUIXn_G0Jr4ownWB7ge4foA10f4WLmZKgEA_s__0l8zw1P6</recordid><startdate>197904</startdate><enddate>197904</enddate><creator>Inouye, Tamon</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>197904</creationdate><title>Image Reconstruction with Limited Angle Projection Data</title><author>Inouye, Tamon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c263t-f3bcb4e38de448bb883d42d673719efb40e2e9676ffd3c31973b17c24433ab963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1979</creationdate><topic>Computed tomography</topic><topic>Extrapolation</topic><topic>Fourier series</topic><topic>Fourier transforms</topic><topic>Image reconstruction</topic><topic>Medical diagnosis</topic><topic>Numerical simulation</topic><topic>X-ray imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Inouye, Tamon</creatorcontrib><collection>CrossRef</collection><jtitle>IEEE transactions on nuclear science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Inouye, Tamon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Image Reconstruction with Limited Angle Projection Data</atitle><jtitle>IEEE transactions on nuclear science</jtitle><stitle>TNS</stitle><date>1979-04</date><risdate>1979</risdate><volume>26</volume><issue>2</issue><spage>2665</spage><epage>2669</epage><pages>2665-2669</pages><issn>0018-9499</issn><eissn>1558-1578</eissn><coden>IETNAE</coden><abstract>A new image reconstruction technique for computed tomography is described. Projection data obtained by a smaller angle rotation less than 180 degrees around the object are used to make the image. The main feature of the method is the estimation of missing region in the Fourier transformed domain by extrapolation employing analytic continuity. Numerical simulations were carried out using computer generated pattern data. The results show strong effects of the content of noisy component on the reconstructed image. The method might be, however, practically applied to some real fields for medical diagnosis.</abstract><pub>IEEE</pub><doi>10.1109/TNS.1979.4330507</doi><tpages>5</tpages></addata></record> |
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| ispartof | IEEE transactions on nuclear science, 1979-04, Vol.26 (2), p.2665-2669 |
| issn | 0018-9499 1558-1578 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_TNS_1979_4330507 |
| source | IEEE Electronic Library (IEL) |
| subjects | Computed tomography Extrapolation Fourier series Fourier transforms Image reconstruction Medical diagnosis Numerical simulation X-ray imaging |
| title | Image Reconstruction with Limited Angle Projection Data |
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