scholarly journals Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation

2018 ◽  
Vol 65 (2) ◽  
pp. 336-343 ◽  
Author(s):  
Yuankai Huo ◽  
Jiaqi Liu ◽  
Zhoubing Xu ◽  
Robert L. Harrigan ◽  
Albert Assad ◽  
...  
Keyword(s):  
Atlas Segmentation ◽  
Spleen Segmentation

scholarly journals Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly

2017 ◽  
Author(s):  
Yuankai Huo ◽  
Jiaqi Liu ◽  
Zhoubing Xu ◽  
Robert L. Harrigan ◽  
Albert Assad ◽  
...  
Keyword(s):  
Atlas Segmentation ◽  
Spleen Segmentation

Local Patch Similarity Ranked Voxelwise STAPLE on Magnetic Resonance Image Hippocampus Segmentation

2013 ◽  
Vol 333-335 ◽  
pp. 1065-1070
Author(s):  
Yuan Li ◽  
Fu Cang Jia ◽  
Xiao Dong Zhang ◽  
Cheng Huang ◽  
Huo Ling Luo
Keyword(s):  
Magnetic Resonance ◽  
Image Features ◽  
Morphometric Features ◽  
Segmentation Methods ◽  
Local Patch ◽  
Ranking Strategy ◽  
And Performance ◽  
Spatially Variant ◽  
Hippocampus Segmentation ◽  
Atlas Segmentation

The segmentation and labeling of sub-cortical structures of interest are important tasks for the assessment of morphometric features in quantitative magnetic resonance (MR) image analysis. Recently, multi-atlas segmentation methods with statistical fusion strategy have demonstrated high accuracy in hippocampus segmentation. While, most of the segmentations rarely consider spatially variant model and reserve all segmentations. In this study, we propose a novel local patch-based and ranking strategy for voxelwise atlas selection to extend the original Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm. The local ranking strategy is based on the metric of normalized cross correlation (NCC). Unlike its predecessors, this method estimates the fusion of each voxel patch-by-patch and makes use of gray image features as a prior. Validation results on 33 pairs of hippocampus MR images show good performance on the segmentation of hippocampus.

scholarly journals Horse spleen segmentation technique as large animal model of preclinical trials

2013 ◽  
Vol 85 (4) ◽  
pp. 1411-1417 ◽  
Author(s):  
Roberto P.P. Foz Filho ◽  
Benedito W. de Martin ◽  
Ana Rita de Lima ◽  
Maria Angelica Miglino
Keyword(s):  
Animal Model ◽  
Splenic Artery ◽  
Digital Camera ◽  
Measuring System ◽  
Large Animal Model ◽  
Large Animal ◽  
Vascular Pattern ◽  
Anatomical Basis ◽  
Preclinical Trials ◽  
Spleen Segmentation

The parenchymal distribution of the splenic artery was studied in order to obtain anatomical basis for partial splenectomy. Thirty two spleens were studied, 26 spleens of healthy horses weighing 320 to 450kg, aged 3 to 12 years and 6 spleens of fetus removed from slaughterhouse. The spleens were submitted to arteriography and scintigraphy in order to have their vascular pattern examined and compared to the external aspect of the organ aiming establish anatomo-surgical segments. All radiographs were photographed with a digital camera and the digital images were submitted to a measuring system for comparative analysis of areas of dorsal and ventral anatomo-surgical segments. Anatomical investigations into the angioarchitecture of the equine spleen showed a paucivascular area, which coincides with a thinner external area, allowing the organ to be divided in two anatomo-surgical segments of approximately 50% of the organ each.

IC-P-132: Multi-atlas segmentation of the hippocampus refined with intensity-based tissue classification

2012 ◽  
Vol 8 (4S_Part_2) ◽  
pp. P70-P70
Author(s):  
Boubakeur Belaroussi ◽  
Florent Roche ◽  
Joël Schaerer ◽  
Luc Bracoud ◽  
Hui Jing Yu ◽  
...  
Keyword(s):  
Tissue Classification ◽  
Atlas Segmentation

Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning

2020 ◽  
Vol 31 (8) ◽  
pp. 3061-3072 ◽  
Author(s):  
Pei Dong ◽  
Yanrong Guo ◽  
Yue Gao ◽  
Peipeng Liang ◽  
Yonghong Shi ◽  
...  
Keyword(s):  
Brain Structures ◽  
Hypergraph Learning ◽  
Atlas Segmentation

scholarly journals Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CT

2017 ◽  
Vol 62 (10) ◽  
pp. 3944-3957 ◽  
Author(s):  
Qingyi Liu ◽  
Hassan Mohy-ud-Din ◽  
Nabil E Boutagy ◽  
Mingyan Jiang ◽  
Silin Ren ◽  
...  
Keyword(s):  
Partial Volume Correction ◽  
Cardiac Spect ◽  
Partial Volume ◽  
Volume Correction ◽  
Fully Automatic ◽  
Atlas Segmentation
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