Combined Volume Registration and Visualization

Capps, Arlie G.; Zawadzki, Robert J.; Werner, John S.; Hamann, Bernd

doi:10.1007/978-3-319-24523-2_4

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…To achieve this objective, a ray-casting technique [31] is used. This method has been applied in a wide variety of problems; for example, in medicine visualization [32], tracing frameworks for scientific visualization [33], or modelling distant pointing for compensation [34], among others.…”

Section: The Visibility Index Vmentioning

confidence: 99%

Extracting Information from an Urban Network by Combining a Visibility Index and a City Data Set

Agryzkov

Oliver²,

Tortosa

et al. 2019

Symmetry

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Cities can be represented by spatial networks, and the mathematical structure that defines a spatial network is a graph. Taking into account this premise, this paper is focused on analysing information on an urban scale by combining a new ray-casting visibility index with a data set of the urban street network. The visibility index provides information about the most visible buildings or areas. We relate this index with other data extracted from the city, with the aim of generating and analysing information about urban elements. To corroborate this idea, real data are analysed. The dataset is related to the heritage conservation of the buildings of the Villaflora suburb, located in the city of Quito (Ecuador). This information is processed, together with the visibility index, with the aim of determining the conservation degree of the urban areas most visually exposed to pedestrians or visitors. The combination of both values—heritage conservation and visibility index—is carried out by means of two new indices, I P and I N , which are defined using two-variable exponential functions.

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Section: The Visibility Index Vmentioning

confidence: 99%

Extracting Information from an Urban Network by Combining a Visibility Index and a City Data Set

Agryzkov

Oliver²,

Tortosa

et al. 2019

Symmetry

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“…An method for mosaicking OCT volumes from bladder tissue is proposed in [7]. Zawadzki et al [8] register multiple retinal OCT volumes through manual stitching, then develop a ray cast method to render the volume and use an annealing algorithm to optimize the alignment among multiple retinal imaging volumes [9]. Multiple OCT volumes are stitched in [10] based on blood vessel matching algorithm.…”

Section: Introductionmentioning

confidence: 99%

An automated 3D registration method for optical coherence tomography volumes

Gan

Wang

Myers

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Optical coherence tomography (OCT) is able to provide high resolution volumetric data for biological tissues. However, the field of view (FOV) of OCT is sometimes smaller than the field of interest, which limits the clinical application of OCT. One way to overcome the drawback is to stitch multiple 3D volumes. In this paper, we propose a novel method to register multiple overlapped volumetric OCT data into a single volume. The relative positions of overlapped volumes were estimated on en face plane and at depth. On en face plane, scale invariant feature transform (SIFT) was implemented to extract the keypoints in each volume. Based on the invariant features, volumes were paired through keypoint matching. Then, we formulated the relationship between paired offsets and absolute positions as a linear model and estimated the centroid of each volume using least square method. Moreover, we calibrated the depth displacement in each paired volume and aligned the z coordinates of volumes globally. The algorithm was validated through stitching multiple volumetric OCT datasets of human cervix tissue and of swine heart. The experimental results demonstrated that our method is capable of visualizing biological samples over a wider FOV, which enhances the investigation of tissue structure such as fiber orientation.

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Combined Volume Registration and Visualization

Cited by 2 publications

References 17 publications

Extracting Information from an Urban Network by Combining a Visibility Index and a City Data Set

Extracting Information from an Urban Network by Combining a Visibility Index and a City Data Set

An automated 3D registration method for optical coherence tomography volumes

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