LOGISMOS segmentation framework (Layered Optimal Graph Image Segmentation for Multiple Objects and Surfaces) facilitates highly efficient multi-dimensional, multi-layered, and multi-object optimum graph-based segmentation and surface editing on image data from various modalities (CT, MR, Ultrasound, OCT, etc.).
Left-to-right: Aortic CT, MR, CTA, MRA image analysis in 3D, 4D; Quantitative results of aortic analysis; 4D cardiac ultrasound; 4D cardiac ultrasound analysis.
Broad applicability of LOGISMOS n-D segmentation methods. Left-to-right: 3D liver tumor segmentation; 3D lung tumor segmentation; Prostate-bladder -- simultaneous segmentation of 2 objects in 3D CT; 3D cartilage MR segmentation -- normal and osteoarthritic joints, note cartilage thinning and ``holes'' in the right-most image.
Left-to-right: Motion artifact reduction with structure awareness in 4D CT (original images with artifacts on the left; Human macular 3D OCT - multi-layer 3D segmentation; Human peripapillary 3D OCT -- layer segmentation and 3D visualization of retinal layers around the optic nerve head; Multi-layer 3D segmentation of murine retinal OCT; First-ever 3D segmentation of human choroidal vasculature from retinal OCT using pilot implementation of the surface-and-region graph search.
Advancement of LOGISMOS flexibility. Left-to-right: 3D segmentation of human choroidal vasculature from retinal OCT using surface-and-region graph search; Simultaneous segmentation of hierarchically-structured interacting objects based on Alpha Path-Moves (ribcage+spine, liver, heart, left kidney); Knee MR segmentation (for longitudinal 4D analyses, central subplate shown); Caudate and putamen segmentation using automatically designed cost functions learned from examples – ground truth = yellow, LOGISMOS = green; White matter/gray matter cost function probability maps learned from cortical segmentation examples in 3D MRI, used for LOGISMOS-B cortical segmentation.
Left-to-right: LOGISMOS programming & development environment, showing MR/CT aortic analysis application; Simultaneous 4D knee MR bone+cartilage segmentation - 8 time-point 3D datasets registered and simultaneously segmented in 4D; Illustration of JEI on knee segmentation; IVUS 3D segmentation facilitated prediction of major adverse cardiac events in coronaries; Segmentation of coronary wall layers in 3D OCT images is a pre-requisite to prediction of cardiac allograft vasculopathy onset in heart-transplant patient; Retinal OCT image analysis with 3D JEI capability in an age-related macular degeneration patient; Brain tumor segmentation.
LOGISMOS+JEI in action: segment a brain tumor with simple shape, no editing required:
LOGISMOS+JEI in action: segment a brain tumor with complex shape using JEI and merging of objects: LOGISMOS+JEI in action: segment prostate on MR T2 iamge: The purpose of these videos is to demonstrate the capability of the algorithm, not to show the clinically correct segmentation.
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