{"id":15510,"date":"2018-07-09T09:36:06","date_gmt":"2018-07-09T09:36:06","guid":{"rendered":"https:\/\/www.revoscience.com\/en\/?p=15510"},"modified":"2020-06-09T12:56:37","modified_gmt":"2020-06-09T12:56:37","slug":"scanning-in-the-fourth-dimension","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/scanning-in-the-fourth-dimension\/","title":{"rendered":"Scanning in the fourth dimension"},"content":{"rendered":"

\"\"A novel imaging method makes it possible to capture object deformation in three dimensions over time with unprecedented accuracy.<\/span><\/p>\n

Three-dimensional (3D) computed tomography is a widely used technology that visualizes an object\u2019s external and internal structure by assembling a series of two-dimensional images taken sequentially across or around it. However, as anyone who has had a medical magnetic resonance imaging scan will recall, this type of 3D reconstruction requires the subject to be motionless throughout the capture process, which can take minutes. Capturing a 3D structure that changes or deforms over time is much more difficult, and existing approaches often yield reconstructions marred by image artifacts and partial surfaces.<\/span><\/p>\n

Guangming Zang, Ramzi Idoughi and their colleagues, under the leadership of Wolfgang Heidrich\u2019s at KAUST, have developed a novel four-dimensional imaging method that vastly improves the quality of such space-time tomography for rapidly deforming objects.<\/span><\/p>\n

\u201cThe primary challenge is when the deformation is so fast that the scanner can only capture a few images before the deformation becomes significant,\u201d explains Zang. \u201cThe problem is then to reconstruct highly detailed 3D objects given only a few projections with a lot less information than would be available when reconstructing static objects.\u201d<\/span><\/p>\n

The team tackled the challenge in two parts. First, they modified the capture sequence to have a better distribution of scans over time. Then, they created an algorithm that allows the reconstruction at a given time point by using information from previous and subsequent acquisition steps.<\/span><\/p>\n

\u201cThis is a major step towards making 3D tomography useful for probing internal structures of objects when changes during scanning cannot be avoided,\u201d says Zang.<\/span> <\/p>\n","protected":false},"excerpt":{"rendered":"

A novel imaging method makes it possible to capture object deformation in three dimensions over time with unprecedented accuracy.<\/p>\n","protected":false},"author":2,"featured_media":15512,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-15510","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",722,318,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683-150x150.jpg",150,150,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683-300x132.jpg",300,132,true],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",722,318,false],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",722,318,false],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",722,318,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",722,318,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",722,318,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",722,318,false],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",600,264,false],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",600,264,false],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",722,318,false],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",550,242,false],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",95,42,false],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",640,282,false],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",96,42,false],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2018\/07\/5683.jpg",150,66,false]},"author_info":{"info":["RevoScience"]},"category_info":"Research<\/a>","tag_info":"Research","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/15510","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=15510"}],"version-history":[{"count":0,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/15510\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/15512"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=15510"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=15510"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=15510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}