{"id":5169,"date":"2019-01-28T11:18:18","date_gmt":"2019-01-28T08:18:18","guid":{"rendered":"https:\/\/umram.bilkent.edu.tr\/?p=5169"},"modified":"2019-01-30T13:27:36","modified_gmt":"2019-01-30T10:27:36","slug":"statistically-segregated-k-space-sampling-for-accelerating-multiple-acquisition-mri-2","status":"publish","type":"post","link":"https:\/\/umram.bilkent.edu.tr\/index.php\/tr\/2019\/01\/28\/statistically-segregated-k-space-sampling-for-accelerating-multiple-acquisition-mri-2\/","title":{"rendered":"Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI"},"content":{"rendered":"\n

UMRAM’da Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI<\/a><\/em> adl\u0131 bir makale yay\u0131nlanm\u0131\u015ft\u0131r. Y\u00fcksek lisans \u00f6\u011frencileri ve \u00f6\u011fretim \u00fcyelerimizden L\u00fctfi Kerem \u015eenel<\/a> ,Toygan K\u0131l\u0131\u00e7<\/a>, Asst. Prof. Emine \u00dclk\u00fc Sar\u0131ta\u015f,\u00a0<\/a>Assoc. Prof. Tolga \u00c7ukur<\/a> ve Aselsan’dan Alper G\u00fcng\u00f6r, Emre Kopano\u011flu, H. Emre G\u00fcven, Aykut Ko\u00e7 taraf\u0131ndan yaz\u0131lan makale 14 Ocak 2019’da “IEEE Transactions on Medical Imaging<\/a>“de yay\u0131nland\u0131. <\/p>\n\n\n\n

\u00d6zet:<\/strong> \u00c7oklu-edinim manyetik rezonans g\u00f6r\u00fcnt\u00fclemenin (MRG) \u00f6nemli k\u0131s\u0131tlamalar\u0131ndan biri, ayr\u0131k veri k\u00fcmesi say\u0131s\u0131 artt\u0131k\u00e7a tarama veriminin d\u00fc\u015fmesidir. Seyrek yeniden olu\u015fturma teknikleri, rastgele ve yetersiz \u00f6rneklenmi\u015f edinimler ile bu k\u0131s\u0131tlamay\u0131 hafifletebilmektedir. Her bir edinim i\u00e7in sabit bir \u00f6rnekleme yo\u011funlu\u011fundan \u00e7ekilen farkl\u0131 rastgele \u00f6r\u00fcnt\u00fcler kullanmak s\u0131kl\u0131kla tercih edilen bir \u00f6rnekleme stratejisidir. Ancak, genellikle bu rastgele \u00f6r\u00fcnt\u00fcler edinim boyutu \u00fczerinde geri\u00e7atma kalitesini ya da tarama verimini d\u00fc\u015f\u00fcren bo\u015fluklar veya k\u00fcmelenmeler bar\u0131nd\u0131r\u0131rlar. Bu \u00e7al\u0131\u015fmada, \u00e7oklu-edinim MRG\u2019deki bu sorunu \u00e7\u00f6zmek i\u00e7in istatistiksel olarak ayr\u0131k bir \u00f6rnekleme y\u00f6ntemi \u00f6nerilmi\u015ftir. \u00d6nerilen y\u00f6ntem, \u00fcretilen her bir \u00f6r\u00fcnt\u00fcn\u00fcn ard\u0131ndan \u00f6rnekleme yo\u011funlu\u011funu, farkl\u0131 \u00f6r\u00fcnt\u00fcler aras\u0131ndaki \u00e7ak\u0131\u015fmay\u0131 en aza indirecek \u015fekilde uygun olarak de\u011fi\u015ftirmektedir. Bunun sonucunda, k-uzay\u0131n\u0131n radyal boyutundaki \u00f6rnekleme yo\u011funlu\u011fu korunurken edinimler aras\u0131ndaki \u00f6rt\u00fc\u015fmezlik artt\u0131r\u0131lm\u0131\u015ft\u0131r. Faz d\u00f6ng\u00fcl\u00fc bSSFP (balanced  steady-state free precession) ve \u00e7oklu eko T2-a\u011f\u0131rl\u0131kl\u0131 g\u00f6r\u00fcnt\u00fcleme i\u00e7in kapsaml\u0131 analizler yap\u0131lm\u0131\u015f, say\u0131sal sim\u00fclasyonlar ve in vivo veriler i\u00e7in geri\u00e7at\u0131m ba\u015far\u0131lar\u0131 hesaplanm\u0131\u015ft\u0131r. Sunulan sonu\u00e7lara g\u00f6re, \u00e7oklu edinim veri k\u00fcmelerinde, ayr\u0131k \u00f6rnekleme y\u00f6ntemi hem Fourier hem de s\u0131k\u0131\u015ft\u0131r\u0131lm\u0131\u015f alg\u0131lama geri\u00e7at\u0131m kalitesinde \u00f6nemli iyile\u015ftirme sa\u011flamaktad\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"

UMRAM’da Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI adl\u0131 bir makale yay\u0131nlanm\u0131\u015ft\u0131r. Y\u00fcksek lisans \u00f6\u011frencileri ve \u00f6\u011fretim \u00fcyelerimizden L\u00fctfi Kerem \u015eenel ,Toygan K\u0131l\u0131\u00e7, Asst. Prof. Emine \u00dclk\u00fc Sar\u0131ta\u015f,\u00a0Assoc. Prof. Tolga \u00c7ukur ve Aselsan’dan Alper G\u00fcng\u00f6r, Emre Kopano\u011flu, H. Emre G\u00fcven, Aykut Ko\u00e7 taraf\u0131ndan yaz\u0131lan makale 14 Ocak 2019’da “IEEE Transactions on Medical Imaging“de yay\u0131nland\u0131. […]<\/p>\n","protected":false},"author":1,"featured_media":5170,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[445],"tags":[],"_links":{"self":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/5169"}],"collection":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/comments?post=5169"}],"version-history":[{"count":3,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/5169\/revisions"}],"predecessor-version":[{"id":5207,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/5169\/revisions\/5207"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media\/5170"}],"wp:attachment":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media?parent=5169"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/categories?post=5169"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/tags?post=5169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}