{"id":99,"date":"2017-03-17T07:20:40","date_gmt":"2017-03-17T07:20:40","guid":{"rendered":"https:\/\/fei-lab.org\/?p=99"},"modified":"2023-12-28T20:01:32","modified_gmt":"2023-12-28T20:01:32","slug":"image-segmentation","status":"publish","type":"post","link":"https:\/\/fei-lab.org\/image-segmentation\/","title":{"rendered":"Image Segmentation"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-av_heading-514e9fcca43d02767b56577d056fcb93\">\n#top .av-special-heading.av-av_heading-514e9fcca43d02767b56577d056fcb93{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-av_heading-514e9fcca43d02767b56577d056fcb93 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-av_heading-514e9fcca43d02767b56577d056fcb93 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-av_heading-514e9fcca43d02767b56577d056fcb93 av-special-heading-h3  avia-builder-el-0  el_before_av_textblock  avia-builder-el-first '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Image Segmentation<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n<section  class='av_textblock_section av-14dpb-6620bd0d4dc741b35caab6533f976b02 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>The improved minimal path segmentation method is an automated, model-based segmentation method for medical Images. The method\u2019s energy function combines distance and gradient information to guide the marching curve and thus evaluate the best path. Dynamic programming was used to automatically optimize and update end points in the procedure for searching curves. A deformable 3D model was generated as the prior knowledge for selecting the initial end points and for evaluating the best path. The software program has the following features: (1) define a ROI and then search the contours of the object within the ROI; (2) automatically segment multi-slice; (3) calculate the quantitative value such as the mean intensity, standard deviation, pixel number, area of each slice, and the whole volume, (4) incorporate a prior model as an initial contour into the segmentation, and (5) generate a prior model using samples.<\/p>\n<div id=\"attachment_100\" style=\"width: 510px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-100\" class=\"size-full wp-image-100\" src=\"https:\/\/fei-lab.org\/wp-content\/uploads\/2017\/03\/Segment_Result_Fig.jpg\" alt=\"\" width=\"500\" height=\"405\" srcset=\"https:\/\/fei-lab.org\/wp-content\/uploads\/2017\/03\/Segment_Result_Fig.jpg 500w, https:\/\/fei-lab.org\/wp-content\/uploads\/2017\/03\/Segment_Result_Fig-300x243.jpg 300w, https:\/\/fei-lab.org\/wp-content\/uploads\/2017\/03\/Segment_Result_Fig-495x400.jpg 495w, https:\/\/fei-lab.org\/wp-content\/uploads\/2017\/03\/Segment_Result_Fig-450x365.jpg 450w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><p id=\"caption-attachment-100\" class=\"wp-caption-text\">Figure 12. Graphic user interface (GUI) of the automatic segmentation software.<\/p><\/div>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":100,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36,2],"tags":[],"class_list":["post-99","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-quantitative-imaging-analysis","category-research"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Image Segmentation &#8226; Quantitative Bioimaging Laboratory<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fei-lab.org\/image-segmentation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Image Segmentation &#8226; Quantitative Bioimaging Laboratory\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fei-lab.org\/image-segmentation\/\" \/>\n<meta property=\"og:site_name\" content=\"Quantitative Bioimaging Laboratory\" \/>\n<meta property=\"article:published_time\" content=\"2017-03-17T07:20:40+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-28T20:01:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/fei-lab.org\/wp-content\/uploads\/2017\/03\/Segment_Result_Fig.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"500\" \/>\n\t<meta property=\"og:image:height\" content=\"405\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"awp-admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"awp-admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/\"},\"author\":{\"name\":\"awp-admin\",\"@id\":\"https:\\\/\\\/fei-lab.org\\\/#\\\/schema\\\/person\\\/1a52ce2f3ee13559a03a32ac20076dc0\"},\"headline\":\"Image Segmentation\",\"datePublished\":\"2017-03-17T07:20:40+00:00\",\"dateModified\":\"2023-12-28T20:01:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/\"},\"wordCount\":215,\"publisher\":{\"@id\":\"https:\\\/\\\/fei-lab.org\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/fei-lab.org\\\/wp-content\\\/uploads\\\/2017\\\/03\\\/Segment_Result_Fig.jpg\",\"articleSection\":[\"Quantitative Imaging Analysis\",\"Research Topics\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/\",\"url\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/\",\"name\":\"Image Segmentation &#8226; Quantitative Bioimaging Laboratory\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/fei-lab.org\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/fei-lab.org\\\/wp-content\\\/uploads\\\/2017\\\/03\\\/Segment_Result_Fig.jpg\",\"datePublished\":\"2017-03-17T07:20:40+00:00\",\"dateModified\":\"2023-12-28T20:01:32+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/fei-lab.org\\\/image-segmentation\\\/#primaryimage\",\"url\":\"https:\\\/\\\/fei-lab.org\\\/wp-content\\\/uploads\\\/2017\\\/03\\\/Segment_Result_Fig.jpg\",\"contentUrl\":\"https:\\\/\\\/fei-lab.org\\\/wp-content\\\/uploads\\\/2017\\\/03\\\/Segment_Result_Fig.jpg\",\"width\":500,\"height\":405,\"caption\":\"Figure 12. 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