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3-Dimencional High Dynamic Range Imaging (3D-HDRI) and 3-Dimencional Multimodal High Dynamic Range Imaging (3DM-HDRI) for Better Representation of MRI dataстатья Тезисы
Статья опубликована в высокорейтинговом журнале
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 18 июля 2013 г.
- Авторы: Kozlovsky S., Vartanov A.
- Журнал: NeuroImage
- Том: 36
- Номер: 1
- Год издания: 2007
- Издательство: Academic Press
- Местоположение издательства: United States
- Первая страница: 100
- Последняя страница: 100
- DOI: 10.1016/j.neuroimage.2007.03.045
- Аннотация: Presented at the 13th International Conference of Functional Mapping of the Human Brain, June 10-14, 2007, Chicago USA. The graphic data obtained by modern CT and MRI scanners usually has 32-bit format of intensity range. However, contemporary CRT and LCD computer monitors, printers, projectors and other image displaying devices have a limited dynamic range (usually 8 bit). A “window” of the entire dynamic range is generally used for showing high dynamic range (HDR) images. This “window” presets minimum and maximum values of range, that’s why a quantity of important information is lost. The main idea of this method – to obtain significantly detailed images by solving a Poisson equation on the modified gradient field. Nowadays this method of gradient domain HDR-compression wide applies in the photography art only. We develop a related algorithm of HDR-compression for 3-Dimentional MRI data. Our method gives the opportunity to get more contrasted and more detailed MRI-images in ordinary computer LCD-monitors. In previous work (Vartanov, Kozlovsky et al., 2004) we showed that for the best selection of brain structures we need to use the combination of volumetric images obtained by three MRI modes: SE-T1 (TR=490 ms, TE=7 MS), STIR (TR=6700 ms, TE=22 ms, TI=80 ms) and FLAIR+STIR (TR=5600 ms, TE=24 ms, TIF=80 ms, TIW=1380 ms). This combination makes possible easy distinguishing of such image elements, which are not noticeable usually. Now we propose the algorithm for 3-Dimentional HDR-compression for combination of SE-T1, STIR and FLAIR+STIR images. This algorithm allows to obtain the extraordinarily detailed images of brain and to reduce its noise and artifacts.
- Добавил в систему: Вартанов Александр Валентинович