21 papers · ranked by Valyu relevance
Taohan Wang, Yuji Yamakawa, Gregorij Kurillo
This paper presents a high-speed skeletonization algorithm for detecting the skeletons of linear objects from their binary images. The primary objective of our research is to achieve rapid extraction of the skeletons from binary images while maintaining accuracy for high-speed cameras. The proposed algorithm uses edge…
Luis D. Reyes Vargas, Martin J. Menten, Johannes C. Paetzold, Nassir Navab + 1 more
'Nassir Navab' 'Mohammad Farid Azampour'] Abstract. Skeletonization extracts thin representations from images that compactly encode their geometry and topology. These representations have become an important topological prior for preserving connectivity in curvilinear structures, aiding medical tasks like vessel…
Samik Banerjee, Caleb Stam, Daniel J. Tward, Steven Savoia + 2 more
To understand biological intelligence we need to map neuronal networks in vertebrate brains. Mapping mesoscale neural circuitry is done using injections of tracers that label groups of neurons whose axons project to different brain regions. Since many neurons are labeled, it is difficult to follow individual axons.…
Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit + 5 more
'Suprosanna Shit' 'Ivan Ezhov' 'Robbie Holland' 'Monika Probst' 'Julia A. Schnabel' 'Daniel Rueckert'] The skeleton of a digital image is a compact representation of its topology, geometry, and scale. It has utility in many computer vision applications, such as image description, segmentation, and registration.…
Mohamed Abdel Mohsen Ghanem, Alaa A. Anani
Object Skeletonization is the process of extracting skeletal, line-like representations of shapes. It provides a very useful tool for geometric shape understanding and minimal shape representation. It also has a wide variety of applications, most notably in anatomical research and activity detection. Several…
Jing Ma, Jin Wang, Jituo Li, Dongliang Zhang
Skeleton creation is an important phase in the character animation pipeline. However, handcrafting skeleton takes extensive labor time and domain knowledge. Automatic skeletonization provides a solution. However, most of the current approaches are far from real-time and lack the flexibility to control the skeleton…
Samik Banerjee, Caleb Stam, Daniel J. Tward, Steven Savoia + 2 more
To understand biological intelligence we need to map neuronal networks in vertebrate brains. Mapping mesoscale neural circuitry is done using injections of tracers that label groups of neurons whose axons project to different brain regions. Since many neurons are labeled, it is difficult to follow individual axons.…
Ayan Chaudhury, Christophe Godin
Skeleton extraction from 3D plant point cloud data is an essential prior for myriads of phenotyping studies. Although skeleton extraction from 3D shapes have been studied extensively in the computer vision and graphics literature, handling the case of plants is still an open problem. Drawbacks of the existing…
Melanie Madrigal, Aaron J. Moseley, Jenna C. Moseley, Jordan A. Dowell
Traditional methods to quantify mycelial growth rely on destructive sampling to quantify biomass. However, these approaches limit continuous observation and require a large enough mass to measure. Recent work examines hyphal network traits by reconstructing the hyphal network from spatial coordinates via images…
Samik Banerjee, Caleb Stam, Daniel J. Tward, Steven Savoia + 2 more
'Yusu Wang' 'Partha P.P. Mitra'] To understand biological intelligence we need to map neuronal networks in vertebrate brains. Mapping mesoscale neural circuitry is done using injections of tracers that label groups of neurons whose axons project to different brain regions. Since many neurons are labeled, it is…
William Silversmith, Aleksandar Zlateski, J. Alexander Bae, Ignacio Tartavull + 3 more
'Ignacio Tartavull' 'Nico Kemnitz' 'Jingpeng Wu' 'H. Sebastian Seung'] Three-dimensional electron microscopy images of brain tissue and their dense segmentations are now petascale and growing. These volumes require the mass production of dense segmentation-derived neuron skeletons, multi-resolution meshes, image…
Brinda Patel, Nidhi Sachdeva Agarwal, Radhika Hande
Skeletonized remains pose unique forensic identification challenges, particularly in resource-limited settings where concealment attempts complicate medicolegal investigation. This retrospective descriptive study analyzed 19 skeletonized autopsy cases, assessing gender/age via anthropological methods, PMI from…
Pierre Onghena, Santiago Velasco-Forero, Beatriz Marcotegui
Informed Sampling in Object Classification and Retrieval Authors: ['Pierre Onghena' 'Santiago Velasco-Forero' 'Beatriz Marcotegui'] Point clouds are a set of data points in space to represent the 3D geometry of objects. A fundamental step in the processing is to identify a subset of points to represent the shape. While…
Alessio Veneziano, Marine Cazenave, Fabio Alfieri, Daniele Panetta + 1 more
The number of iterations for dilation/erosion and the size and shape of the structuring element will depend on the geometric features of the bone to be processed and the resolution of the μCT images. Although the definition of these parameters has to be determined case by case, some rules of thumb exist: the number of…
Suyi Wang, Xu Li, Partha Mitra, Yusu Wang
Neuroscientific data analysis has classically involved methods for statistical signal and image processing, drawing on linear algebra and stochastic process theory. However, digitized neuroanatomical data sets containing labelled neurons, either individually or in groups labelled by tracer injections, do not fully fit…
Jianfeng Zhang, Fa Wu, Wanru Chang, Dexing Kong + 1 more
'Amelia Carolina Sparavigna'] Hepatic vessel skeletonization serves as an important means of hepatic vascular analysis and vessel segmentation. This paper presents a survey of techniques and algorithms for hepatic vessel skeletonization in medical images. We summarized the latest developments and classical approaches…
Authors not listed
Skeletal editing, especially for nitrogen-containing aromatic heterocycles, has become an increasingly important strategy for drug modification and development, enabling rapid compound diversification without de novo synthesis. Despite their pervasiveness, established methods fall notably short in selective atomic swap…
Sarah E. Paris, Robert A. Foley
This paper presents a new method for mapping surface features on bone (e.g. presence and distribution of ochre, surface cuts and scratches, pathologies, etc.). It is an accessible and quantifiable alternative to photogrammetry or three-dimensional scanning. It breaks each bone down into a number of two-dimensional…
Jonas Schaub, Julian Zander, Achim Zielesny, Christoph Steinbeck
The concept of molecular scaffolds as defining core structures of organic molecules is utilised in many areas of chemistry and cheminformatics, e.g. drug design, chemical classification, or the analysis of high-throughput screening data. Here, we present Scaffold Generator, a comprehensive open library for the…
Carley V. Cook, Ariel M. Lighty, Brenda J. Smith, Ashlee N. Ford Versypt
Bone remodeling is an essential physiological process in the adult skeleton. Due to the complex nature of this process, many mathematical models of bone remodeling have been developed. Each of these models has unique features, but they have underlying patterns. In this review, the authors highlight the important…
Authors not listed
Synthetic hydrogels rarely form the porous, cell-permissive architectures required for effective tissue regeneration. Here, we report a poly(ethylene glycol) (PEG) sponge hydrogel whose macroporous network is pre-programmed through gel–gel phase separation (GGPS) and stabilized by freeze–thaw processing. This mechanism…