[ University of Ljubljana ]  [ Faculty of Electrical Engineering ]  [ Laboratory of Imaging Technologies ]   [ Print version ]  [ Slovenščina ] 
 
 
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3D MR image database of Multiple Sclerosis patients with white matter lesion segmentations
 
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Database information  [ PDF ]
 
Access the image database:
patient01-05.zip (738 MB) ] 
patient06-10.zip (691 MB) ] 
patient11-15.zip (750 MB) ] 
 
 
© Ziga Lesjak, Alfiia Galimzianova, Ziga Spiclin  &  Laboratory of Imaging Technologies
  
 
Longitudinal MR image database of Multiple Sclerosis patients with white matter lesion change segmentation
 
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Database information  [ PDF ]
 
Access the longitudinal brain MR image database:
patient01-05.zip (678 MB) ] 
patient06-10.zip (891 MB) ] 
patient11-15.zip (749 MB) ] 
patient16-20.zip (774 MB) ] 
 
© Ziga Lesjak  &  Laboratory of Imaging Technologies
 
  
 
BrainSeg3D - a free 3D image viewer and segmentation tool
 
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BrainSeg3D is a free volume (3D image) viewer and segmentation tool based on Seg3D. The main goal of BrainSeg3D is to make segmentation of volumes easier, faster and more accurate by providing tools for semi-automated segmentation combined with a user friendly graphic interface.
 
Download BrainSeg3D manual ]
Download BrainSeg3D tool (Windows 64bit) ]
Download BrainSeg3D tool (Linux 64bit) ]
 
© Ziga Lesjak, Alfiia Galimzianova, Ziga Spiclin  &  
Laboratory of Imaging Technologies
 
  
 
xVertSeg - Segmentation and classification of fractured vertebrae
 
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An open online computational challenge in the field of spine medical image analysis.
 
Access the xVertSeg challenge ]
 
© Robert Korez, Bulat Ibragimov, Tomaz Vrtovec  &  
Laboratory of Imaging Technologies
 
  
 
Multimodal brain MR image database
 
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Database information  [ PDF ]
 
Access the multimodal brain MR image database:
subject04.zip (76.7 MB) ] subject05.zip (79.1 MB) ]
subject06.zip (72.3 MB) ] subject18.zip (77.4 MB) ]
subject20.zip (76.3 MB) ] subject38.zip (77.5 MB) ]
subject41.zip (77.6 MB) ] subject42.zip (76.3 MB) ]
subjec43.zip (81.5 MB) ] subject44.zip (79.9 MB) ]
subject45.zip (76.7 MB) ] subject46.zip (77.6 MB) ]
subject47.zip (76.9 MB) ] subject48.zip (75.8 MB) ]
subject49.zip (79.8 MB) ] subject50.zip (73.7 MB) ]
subject51.zip (75.8 MB) ] subject52.zip (76.5 MB) ]
subject53.zip (74.6 MB) ] subject54.zip (77.2 MB) ]
 
© Alfiia Galimzianova  &  Laboratory of Imaging Technologies
 
  
 
Lumbar vertebra segmentation CT image database
 
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The image database can only be accessed after signing the agreement with the Laboratory of Imaging Technologies.  [ PDF ]  DOC ]
 
Access the lumbar vertebra segmentation CT image database:
Subject01.zip (120 MB) ] Subject02.zip (251 MB) ]
Subject03.zip (271 MB) ] Subject04.zip (244 MB) ]
Subject05.zip (206 MB) ] Subject06.zip (200 MB) ]
Subject07.zip (221 MB) ] Subject08.zip (162 MB) ]
Subject09.zip (130 MB) ] Subject10.zip (59.1 MB) ]
 
© Bulat Ibragimov  &  Laboratory of Imaging Technologies
 
  
 
Gold standard for 3D-2D registration of cerebral angiograms
 
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The gold standard can only be accessed after signing the agreement with the Laboratory of Imaging Technologies.  [ PDF ]  DOC ]
 
User's guide for the gold standard data for 3D-2D registration of cerebral angiograms.  [ PDF ]
 
Access the gold standard for 2D/3D registration of cerebral angiograms:
Dataset01.zip (85.5 MB) ] Dataset02.zip (87.8 MB) ]
Dataset03.zip (89.4 MB) ] Dataset04.zip (88.2 MB) ]
Dataset05.zip (84.9 MB) ] Dataset06.zip (119 MB) ]
Dataset07.zip (85.8 MB) ] Dataset08.zip (89.0 MB) ]
Dataset09.zip (84.9 MB) ] Dataset10.zip (86.6 MB) ]
GoldStandard-CerebralAngiograms.zip (1 MB) ]
 
© Uros Mitrovic  &  Laboratory of Imaging Technologies
 
  
 
Gold standard for 2D-3D registration
 
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The gold standard can only be accessed after signing the agreement with the Laboratory of Imaging Technologies.  [ PDF ]  DOC ]
 
Access the gold standard for 2D/3D registration (76.3 MB) ]
 
© Dejan Tomazevic  &  Laboratory of Imaging Technologies
 
  
 
Evaluation of similarity measures
 
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The protocol can be used for independent evaluation and quantitative comparison of similarity measures.
 
Access evaluation of similarity measures ]
 
© Darko Skerl  &  Laboratory of Imaging Technologies