Sökning: WFRF:(Mehnert Andrew 1967) > A new denoising met...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 02772naa a2200373 4500 | |
001 | oai:research.chalmers.se:5d81b5dc-61d2-43d3-beb2-48a628a6199b | |
003 | SwePub | |
008 | 171007s2008 | |||||||||||000 ||eng| | |
020 | a 9781424418145 | |
024 | 7 | a https://research.chalmers.se/publication/1787262 URI |
024 | 7 | a https://doi.org/10.1109/IEMBS.2008.46492862 DOI |
040 | a (SwePub)cth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a kon2 swepub-publicationtype |
072 | 7 | a ref2 swepub-contenttype |
100 | 1 | a Gal, Yaniv4 aut |
245 | 1 0 | a A new denoising method for dynamic contrast-enhanced MRI |
264 | 1 | c 2008 |
520 | a This paper presents a new algorithm for denoising dynamic contrast-enhanced (DCE) MR images. The algorithm is called Dynamic Non-Local Means and is a novel variation on the Non-Local Means (NL-Means) algorithm. It exploits the redundancy of information in the DCE-MRI sequence of images. An evaluation of the performance of the algorithm relative to six other denoising algorithms—Gaussian filtering, the original NL-Means algorithm, bilateral filtering, anisotropic diffusion filtering, the wavelets adaptive multiscale products threshold method, and the traditional wavelet thresholding method—is also presented. The evaluation was performed by two groups of expert observers—18 signal/image processing experts, and 9 clinicians (8 radiographers and 1 radiologist)—using real DCE-MRI data. The results of the evaluation provide evidence, at the α=0.05 level of significance, that both groups of observers deem the DNLM algorithm to perform visually better than all of the other algorithms. | |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datorseende och robotik0 (SwePub)102072 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Vision and Robotics0 (SwePub)102072 hsv//eng |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Medicinteknikx Medicinsk bildbehandling0 (SwePub)206032 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Medical Engineeringx Medical Image Processing0 (SwePub)206032 hsv//eng |
700 | 1 | a Mehnert, Andrew,d 1967u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)mehnert |
700 | 1 | a Bradley, Andrew4 aut |
700 | 1 | a McMahon, Kerry4 aut |
700 | 1 | a Kennedy, Dominic4 aut |
700 | 1 | a Crozier, Stuart4 aut |
710 | 2 | a Chalmers tekniska högskola4 org |
773 | 0 | t Proc. 2008 Annual International Conference of the IEEE Engineering in Medicine and Biology Societyg , s. 847 - 850q <847 - 850z 9781424418145 |
856 | 4 | u http://dx.doi.org/10.1109/IEMBS.2008.4649286y FULLTEXT |
856 | 4 8 | u https://research.chalmers.se/publication/178726 |
856 | 4 8 | u https://doi.org/10.1109/IEMBS.2008.4649286 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.