کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
445061 693118 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-modal registration for correlative microscopy using image analogies
ترجمه فارسی عنوان
ثبت نام چند منظوره برای میکروسکوپ همبسته با استفاده از آنالوگهای تصویر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
چکیده انگلیسی


• We introduce a sparse representation model for image analogies.
• We simplify multi-modal image registration by using image analogy approach to convert the registration problem to a mono-modal registration problem.
• Experiments show our proposed method outperform traditional multi-modal registration methods.

Correlative microscopy is a methodology combining the functionality of light microscopy with the high resolution of electron microscopy and other microscopy technologies for the same biological specimen. In this paper, we propose an image registration method for correlative microscopy, which is challenging due to the distinct appearance of biological structures when imaged with different modalities. Our method is based on image analogies and allows to transform images of a given modality into the appearance-space of another modality. Hence, the registration between two different types of microscopy images can be transformed to a mono-modality image registration. We use a sparse representation model to obtain image analogies. The method makes use of corresponding image training patches of two different imaging modalities to learn a dictionary capturing appearance relations. We test our approach on backscattered electron (BSE) scanning electron microscopy (SEM)/confocal and transmission electron microscopy (TEM)/confocal images. We perform rigid, affine, and deformable registration via B-splines and show improvements over direct registration using both mutual information and sum of squared differences similarity measures to account for differences in image appearance.

Figure optionsDownload high-quality image (93 K)Download as PowerPoint slide

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Image Analysis - Volume 18, Issue 6, August 2014, Pages 914–926
نویسندگان
, , , , , ,