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Journal of Imaging Informatics in Medicine
Erschienen in: Journal of Digital Imaging 6/2013

01.12.2013

Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data

verfasst von: Ashnil Kumar, Jinman Kim, Weidong Cai, Michael Fulham, Dagan Feng

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 6/2013

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Abstract

Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in the creation of image databases, as well as picture archiving and communication systems. These repositories now contain images from a diverse range of modalities, multidimensional (three-dimensional or time-varying) images, as well as co-aligned multimodality images. These image collections offer the opportunity for evidence-based diagnosis, teaching, and research; for these applications, there is a requirement for appropriate methods to search the collections for images that have characteristics similar to the case(s) of interest. Content-based image retrieval (CBIR) is an image search technique that complements the conventional text-based retrieval of images by using visual features, such as color, texture, and shape, as search criteria. Medical CBIR is an established field of study that is beginning to realize promise when applied to multidimensional and multimodality medical data. In this paper, we present a review of state-of-the-art medical CBIR approaches in five main categories: two-dimensional image retrieval, retrieval of images with three or more dimensions, the use of nonimage data to enhance the retrieval, multimodality image retrieval, and retrieval from diverse datasets. We use these categories as a framework for discussing the state of the art, focusing on the characteristics and modalities of the information used during medical image retrieval.
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Metadaten
Titel
Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data
verfasst von
Ashnil Kumar
Jinman Kim
Weidong Cai
Michael Fulham
Dagan Feng
Publikationsdatum
01.12.2013
Verlag
Springer US
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 6/2013
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-013-9619-2

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Die Empfehlungen zur Therapie des Pankreaskarzinoms wurden um zwei Off-Label-Anwendungen erweitert. Und auch im Bereich der Früherkennung gibt es Aktualisierungen.

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

18.04.2024 Pädiatrische Notfallmedizin Nachrichten

Im Choosing-Wisely-Programm, das für die deutsche Initiative „Klug entscheiden“ Pate gestanden hat, sind erstmals Empfehlungen zum Umgang mit Notfällen von Kindern erschienen. Fünf Dinge gilt es demnach zu vermeiden.

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