{"id":10723,"date":"2020-06-04T15:25:57","date_gmt":"2020-06-04T12:25:57","guid":{"rendered":"https:\/\/umram.bilkent.edu.tr\/?p=10723"},"modified":"2020-06-04T15:41:22","modified_gmt":"2020-06-04T12:41:22","slug":"partial-fov-center-imaging-pci-a-robust-x-space-image-reconstruction-for-magnetic-particle-imaging-2","status":"publish","type":"post","link":"https:\/\/umram.bilkent.edu.tr\/index.php\/tr\/2020\/06\/04\/partial-fov-center-imaging-pci-a-robust-x-space-image-reconstruction-for-magnetic-particle-imaging-2\/","title":{"rendered":"UMRAM’dan Yeni Bir Makale: Partial FOV Center Imaging (PCI): A Robust X-Space Image Reconstruction for Magnetic Particle Imaging"},"content":{"rendered":"

Semih Kurt<\/a>, Yavuz Muslu<\/a> ve Emine \u00dclk\u00fc Sar\u0131ta\u015f<\/a>, IEEE T\u0131bbi G\u00f6r\u00fcnt\u00fcleme \u0130\u015flemlerinde “K\u0131smi FOV Merkezi G\u00f6r\u00fcnt\u00fcleme (PCI): Manyetik Par\u00e7ac\u0131k G\u00f6r\u00fcnt\u00fclemesi i\u00e7in Sa\u011flam Bir X-Uzay G\u00f6r\u00fcnt\u00fcs\u00fc Rekonstr\u00fcksiyonu\" ba\u015fl\u0131kl\u0131 bir makale yay\u0131nlad\u0131. Manyetik Par\u00e7ac\u0131k G\u00f6r\u00fcnt\u00fcleme (MPI), uygulanan manyetik alanlara do\u011frusal olmayan tepkilerini kullanarak s\u00fcperparamanyetik demir oksit (SPIO) nanopar\u00e7ac\u0131klar\u0131n uzamsal da\u011f\u0131l\u0131m\u0131n\u0131 g\u00f6r\u00fcnt\u00fcleyen, ortaya \u00e7\u0131kan t\u0131bbi bir g\u00f6r\u00fcnt\u00fcleme y\u00f6ntemidir. Bu \u00e7al\u0131\u015fmada, b\u00fcy\u00fck \u00f6l\u00e7\u00fcde basitle\u015ftirilmi\u015f i\u015flem ad\u0131mlar\u0131 ile K\u0131smi FOV Merkezi G\u00f6r\u00fcnt\u00fcleme (PCI) ad\u0131 verilen sa\u011flam bir x-uzay g\u00f6r\u00fcnt\u00fc rekonstr\u00fcksiyon tekni\u011fi \u00f6nerilmi\u015ftir. UMRAM’deki \u015firket i\u00e7i MPI taray\u0131c\u0131 \u00fczerinde kapsaml\u0131 sim\u00fclasyonlar ve g\u00f6r\u00fcnt\u00fcleme deneyleri, PCI’nin g\u00fcr\u00fclt\u00fc sa\u011flaml\u0131\u011f\u0131 ve parazit sa\u011flaml\u0131\u011f\u0131 aras\u0131nda bir denge sundu\u011funu ve ideal olmayan sinyal ko\u015fullar\u0131na ve g\u00f6r\u00fcnt\u00fc kalitesine kar\u015f\u0131 sa\u011flaml\u0131k a\u00e7\u0131s\u0131ndan standart x-uzay rekonstr\u00fcksiyonunu geride b\u0131rakt\u0131\u011f\u0131n\u0131 g\u00f6steriyor.<\/p>\n

Abstract:
\nMagnetic Particle Imaging (MPI) is an emerging medical imaging modality that images the spatial distribution of superparamagnetic iron oxide (SPIO) nanoparticles using their nonlinear response to applied magnetic fields. In standard x-space approach to MPI, the image is reconstructed by gridding the speed-compensated nanoparticle signal to the instantaneous position of the field free point (FFP). However, due to safety limits on the drive field, the field-of-view (FOV) needs to be covered by multiple relatively small partial field-of-views (pFOVs). The image of the entire FOV is then pieced together from individually processed pFOVs. These processing steps can be sensitive to non-ideal signal conditions such as harmonic interference, noise, and relaxation effects. In this work, we propose a robust x-space reconstruction technique, Partial FOV Center Imaging (PCI), with substantially simplified pFOV processing. PCI first forms a raw image of the entire FOV by mapping MPI signal directly to pFOV center locations. The corresponding MPI image is then obtained by deconvolving this raw image by a compact kernel, whose fully-known shape solely depends on the pFOV size.We analyze the performance of the proposed reconstruction via extensive simulations, as well as imaging experiments on our in-house FFP MPI scanner. The results show that PCI offers a tradeoff between noise robustness and interference robustness, outperforming standard x-space reconstruction in terms of both robustness against non-ideal signal conditions and image quality.<\/p>\n

https:\/\/ieeexplore.ieee.org\/document\/9095326<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":7,"featured_media":10716,"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\/10723"}],"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\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/comments?post=10723"}],"version-history":[{"count":2,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/10723\/revisions"}],"predecessor-version":[{"id":10725,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/10723\/revisions\/10725"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media\/10716"}],"wp:attachment":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media?parent=10723"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/categories?post=10723"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/tags?post=10723"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}