Adaptive nonlocal filtering: a fast alternative to anisotropic diffusion for image enhancement

Fischl, Bruce; Schwartz, Eric L.

doi:10.1109/34.745732

Cited by 58 publications

(25 citation statements)

References 38 publications

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“…This diffusion model is computationally expensive because of its iteration. Fortunately B. Fischel et al proposed a fast realization [7], in which the serial PDE diffusion is replaced with parallel kernel operations performed in one single step, the kernel size is viewed as offsets relatively to discontinuities.…”

Section: Knowledge Based Diffusion For Layered Structure Represenmentioning

confidence: 99%

Craniofacial Landmark Detection by Layered Diffusion and Dilated Skeleton Maps

Jiang

et al. 2006

2006 9th International Conference on Control, Automation, Robotics and Vision

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Abstract-This paper proposed a new method for cephalogram landmark location. It firstly employed diffusions in different scales for layered segmentation, making uses of regionhomogeneity and edge-saltation, thus the landmark positions could be clearly reflected on edge-maps, i.e. skeleton, of layered diffusion. Secondly, key landmarks were determined via binarization pixel-cliques which were formed by Euclidean distance maps (EDM) on dilated skeleton. To validate the performance of this method, 30 surgery cases were inspected. The comparison of predicted parameters and application values shows that all 9 angle parameters and 4 of 5 distance parameters were correctly calculated, the predicted profiles were similar to the actual contours except one point due to the intrinsic difficulty in labium prediction. Our method took advantages of layered feature preserving and ease landmark extraction, and the latter was also owing to different EDM-Width of pixel-cliques and skeleton points. It is accurate, lifelike, and superior to many similar methods.

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Section: Knowledge Based Diffusion For Layered Structure Represenmentioning

confidence: 99%

Craniofacial Landmark Detection by Layered Diffusion and Dilated Skeleton Maps

Jiang

et al. 2006

2006 9th International Conference on Control, Automation, Robotics and Vision

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“…Other image restoration and noise removal solutions include symmetric nearest neighborhood (Zimmer & Akselrod 1996), spike noise removal (Foo et al 1994), motion-originated noise removal by local estimation of motion (Madore & Henkelman 1996), Bayesian image processing (Hu et al 1991), rectification of static field inhomogeneity for geometry and intensity improvement (Change & Fitzpatric 1992) and adaptive non-local filtering for image enhancement (Fischl & Schwartz 1999). Eigen-image transformation of multispectral MR pixel data improves signal-to-noise ratio, contrast-to-noise ratio, segmentation accuracy, and, partial volume correction (Soltanian-Zadeh et al 1992).…”

Section: Preprocessing Of Magnetic Resonance Imagesmentioning

confidence: 99%

Algorithms for modeling anatomic and target volumes in image‐guided neurosurgery and radiotherapy

Alakuijala¹

2002

Medical Physics

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The use of image-guidance in surgery and radiotherapy has significantly improved patient outcome in neurosurgery and radiotherapy treatments. This work developed volume definition and verification techniques for image-guided applications, using a number of algorithms ranging from image processing to visualization.Stereoscopic visualization, volumetric tumor model overlaid on an ultrasound image, and visualization of the treatment geometry were experimented with on a neurosurgical workstation. Visualization and volume definition tools were developed for radiotherapy treatment planning system.The magnetic resonance inhomogeneity correction developed in this work, possibly the first published data-driven method with wide applicability, automatically mitigates the RF field inhomogeneity artefact present in magnetic resonance images. Correcting the RF inhomogeneity improves the accuracy of the generated volumetric models.Various techniques to improve region growing are also presented. The simplex search method and combinatory similarity terms were used to improve the similarity function with a low additional computational cost and high yield in region correctness. Moreover, the effects of different priority queue implementations were studied.A fast algorithm for calculating high-quality digitally reconstructed radiographs has been developed and shown to better meet typical radiotherapy needs than the two alternative algorithms. A novel visualization method, beam's light view, is presented. It uses texture mapping for projecting the fluence of a radiation field on an arbitrary surface.This work suggests several improved algorithms for image processing, segmentation, and visualization used in image-guided treatment systems. The presented algorithms increase the accuracy of image-guidance, which can further improve the applicability and efficiency of imageguided treatments.

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“…Various methods of filtering have been introduced including adaptive structures, efficient in a broad range of probabilistic conditions [283]. Nonlinear methods of filtering have been applied successfully for enhancement of edges and comers [284].…”

Section: Softwarementioning

confidence: 99%