Morphological Component Research Articles

Masked-SwinUnet-powered microresistivity borehole image inpainting

Electrical borehole imaging tools acquire high-resolution microresistivity maps of the borehole wall, revealing critical sedimentary and structural features for reservoir characterization. However, these microresistivity borehole image logs (BHIs) often contain regularly spaced unmeasured intervals due to the intrinsic gaps between the measuring electrode pads, which hinders effective BHI interpretation. Traditional inpainting methods, such as multipoint statistics and morphological component analysis, require extensive iterative processing and often fail in complex formations. Therefore, we develop a deep neural network trained in a self-supervised manner to enhance the efficiency and accuracy of BHI inpainting. This network incorporates a masked image modeling algorithm into the Swin Transformer model, focusing computation exclusively on valid pixels to eliminate inpainting artifacts and boost efficiency. The new model, named Masked-SwinUnet, leverages the known ground truth at artificially masked gaps in the measured stripes during training. It has successfully achieved seamless inpainting on data acquired by Schlumberger's Fullbore Formation MicroImager from the Integrated Ocean Drilling Program, effectively restoring global sinusoidal features and local textures. This novel inpainting technique holds great potential for enhancing automatic BHI interpretation and reservoir characterization.

Proatherogenic proteomic profile of LDL isolated from plasma of patients with diabetes mellitus: immunological aspects

Atherosclerosis is a vascular disease, which is based on a chronic inflammatory process, including complex interactions between blood components, as well as the cells that form the vessel wall, and lipid metabolism in general. Low-density lipoproteins (LDL) play a key role in pathogenesis of atherosclerosis. When the permeability of the endothelial layer of the vessel is impaired, LDL can penetrate into the intramural space and lead to excessive cholesterol accumulation by the cells from the intima subendothelial layer, leading to the onset of the inflammatory process and to the formation of foam cells, the main morphological component of the atherosclerotic plaque. However, the level of LDL in the patient’s blood plasma alone is not a key indicator of the development of atherosclerosis. Numerous studies point out the role of oxidized modifications of LDL (oxLDL) in the increased local accumulation of cholesterol in vascular wall cells, however, recent works have shown conflicting results regarding the role of oxLDL in the development of atherosclerosis. We hypothesize that other components of LDL may also influence the progression of atherosclerosis. It is a well-known fact that patients with diabetes mellitus (DM) suffer from cardiovascular diseases, in particular atherosclerosis, more often than patients without diagnosed DM and other autoimmune diseases, and the disease progresses faster. The purpose of this study was to identify risk biomarkers in LDL groups that indicate the relationship of the immune system with the development of atherosclerosis in such patients. LDL was isolated from patients and healthy donors using continuous ultracentrifugation with solutions of different densities, and LDL protein profile samples were measured using gas chromatography-mass spectrometry. We found 9 proteins that had a statistically significant difference between the samples (DM and control). In the diabetes group, the content of the antimicrobial peptide cathelicidin and lipopolysaccharide-binding protein was almost 2 times higher compared to the control. These proteins may be involved in the development of inflammation, leading to the progression of atherosclerosis. At the same time, a decrease in immunoglobulins and complement components (C9 and Complement C1s subcomponent) associated with LDL may contribute to the development of atherosclerosis.

Design and performance validation of CWT-MCA based interference mitigation for automotive radars

Interference mitigation has been a vital area of focus within the realm of automotive radar research, holding paramount importance for augmenting advanced driver-assistance capabilities, particularly in vehicle-dense scenarios. This paper presents a novel interference mitigation scheme based on continuous wavelet transform and morphological component analysis (CWT-MCA). This method, in essence, transforms the time-domain signal into the time-frequency domain, subsequently enabling the direct separation of target and interference components, thereby circumventing the necessity for interference detection and identification. Additionally, this paper introduces a series of MCA algorithms grounded in various transform domains, which are subsequently compared with the traditional linear prediction based approach. We show through comprehensive numerical simulations and real-data experiments that CWT-MCA algorithm exhibits markedly superior interference mitigation performance while offering lower computational complexity, which makes it well-suited for real-time implementation in automotive radar systems.

Multi-pulse femtosecond laser ablation of SiC/SiC composites: Morphological evolution, oxidation mechanisms and component characterization

SiC fiber reinforced SiC matrix (SiosC/SiC) composites processed by femtosecond laser play a pivotal role in thermal protection systems. This paper reveals the ablation characteristics of multi-pulse femtosecond laser ablation of SiC/SiC composites, including morphological evolution, oxidation mechanisms and component characterization by heat accumulation simulation and advanced experimental analysis. The results show that the ablation depth induced by the heat accumulation effect is an exponential function of laser parameters. Morphological analysis and component characterization indicate that two types of ablation regions are formed, normal ablation region is an oxidized zone induced by passive oxidation mechanism, and central ablation region is a non-oxidized zone induced by active oxidation mechanism. The increase of single pulse energy and decrease of scanning speed enhance the driving force of chemical reactions, thus dramatically affecting the gas hole and graphite properties in the normal ablation region. Furthermore, the propagation path of thermal stress-induced cracks is determined which emerges from the center ablation region, extending through gas holes to the normal ablation region.

Productivity and quality of Mulato II grass (Urochloa híbrido) alone and silage with agroindustrial by-products

The use of silage is considered as a feeding strategy in animal production systems with ruminants during dry periods. The objective was to evaluate the yield and nutritive value in forage and silage of Mulato II grass (Urochloa hybrid) and two additives, at different regrowth ages. Ages of 3, 6 and 9 weeks and additives (orange peel and molasses) were evaluated in silages: 1) Mulato II (ME); 2) Mulato II + orange peel; 3) Mulato II + molasses and 4) Mulato II + orange peel + molasses. The variables were: yield (kg ha-1) of total dry matter (TDM) and by morphological component, plant height (PH, cm), leaf area index (LAI), CP, NDF, ADF and lignin in forage and silage; pH, brix degrees and DM (%) in silage. When the forage was harvested at nine weeks of regrowth, the highest DM yield was obtained (7 508 kg ha-1), while the CP content was higher in week three of regrowth (201 g kg-1), exceeding by 10 and 29% that found in the sixth and ninth weeks. The silages with additives presented the highest CP values and the lowest values of ADF, NDF and pH. The higher the age of regrowth, the higher the dry matter yields, while the nutritive value decreased; however, the use of orange peel and molasses in grass silages improved the nutritive value.

A MUSE view of the core of the giant low-surface-brightness galaxy Malin 1

Aims. The central region of the giant low-surface-brightness galaxy Malin 1 has long been known to have a complex morphology, with evidence of a bulge, disc, and potentially a bar hosting asymmetric star formation. In this work, we use VLT/MUSE data to resolve the central region of Malin 1 in order to determine its structure. Methods. We used careful light profile fitting in every image slice of the datacube to create wavelength-dependent models of each morphological component, from which we were able to cleanly extract their spectra. We then used the kinematics and emission line properties from these spectra to better understand the nature of each component extracted from our model fitting. Results. We report the detection of a pair of distinct sources at the centre of this galaxy with a separation of ∼1.05″, which corresponds to a separation on sky of ∼1.9 kpc. The radial velocity data of each object confirm that they both lie in the kinematic core of the galaxy. An analysis of the emission lines reveals that the central compact source is more consistent with being ionised through star formation and/or a LINER, while the off-centre compact source lies closer to the separation between star-forming galaxies and active galactic nuclei. Conclusions. This evidence suggests that the centre of Malin 1 hosts either a bar with asymmetric star formation or two distinct components. In the latter scenario, we propose two hypotheses for the nature of the off-centre compact source-it could either be a star-forming clump, containing one or more star clusters, that is in the process of falling into the core of the galaxy and eventually merging with the central nuclear star cluster, or it could be a clump of gas falling into the centre of the galaxy from either outside or from the disc and triggering star formation there.

In Vivo Classification and Characterization of Carotid Atherosclerotic Lesions with Integrated 18F-FDG PET/MRI.

The aim of this study was to exploit integrated PET/MRI to simultaneously evaluate the morphological, component, and metabolic features of advanced atherosclerotic plaques and explore their incremental value. In this observational prospective cohort study, patients with advanced plaque in the carotid artery underwent 18F-FDG PET/MRI. Plaque morphological features were measured, and plaque component features were determined via MRI according to AHA lesion-types. Maximum standardized uptake values (SUVmax) and tissue to background ratio (TBR) on PET were calculated. Area under the receiver-operating characteristic curve (AUC) and net reclassification improvement (NRI) were used to compare the incremental contribution of FDG uptake when added to AHA lesion-types for symptomatic plaque classification. A total of 280 patients with advanced plaque in the carotid artery were recruited. A total of 402 plaques were confirmed, and 87 of 402 (21.6%) were symptomatic plaques. 18F-FDG PET/MRI was performed a mean of 38 days (range 1-90) after the symptom. Increased stenosis degree (61.5% vs. 50.0%, p < 0.001) and TBR (2.96 vs. 2.32, p < 0.001) were observed in symptomatic plaques compared with asymptomatic plaques. The performance of the combined model (AHA lesion type VI + stenosis degree + TBR) for predicting symptomatic plaques was the best among all models (AUC = 0.789). The improvement of the combined model (AHA lesion type VII + stenosis degree + TBR) over AHA lesion type VII model for predicting symptomatic plaques was the highest (AUC = 0.757/0.454, combined model/AHA lesion type VII model), and the NRI was 50.7%. Integrated PET/MRI could simultaneously evaluate the morphological component and inflammation features of advanced atherosclerotic plaques and provide supplementary optimization information over AHA lesion-types for identifying vulnerable plaques in atherosclerosis subjects to achieve further stratification of stroke risk.

Variability in Morphological, Biochemical, and Proximate Yield Composition among Predominant Amaranthus hybridus Cultivars in South-West Nigeria

Variability in Morphological, Biochemical, and Proximate Yield Composition among Predominant Amaranthus hybridus Cultivars in South-West Nigeria

An image processing mechanism for aerial inspection robots to detect submillimeter-width concrete cracks in social infrastructures

Inspection robots for early detection of potential risks in severe environments require a high accuracy like human experts. A fine mechanism is crucial for extracting target components from noisy signals. We have proposed a detection system for submillimeter-width cracks in concrete surfaces of social infrastructures, such as bridges, by using morphological component analysis (MCA), for aerial image-inspection robots. Traditional schemes like PCA have relied on linear decomposition for the separation of target signal and noise components. Recent advancement in signal decomposition focuses on the enhancement of linearity in the separation by introducing a set of nonlinear basis functions to represent the raw signal even when multiple factors are mixed in a nonlinear manner. In this sense, MCA is a core technique to be able to isolate target components to represent submillimeter-width cracks from others. We proposed a proper pre- and post-processing operations to attach MCA, which demonstrated a high accuracy yet coarse and fine image components have to be integrated redundantly. In the present study, we successfully found a simpler mechanism to set the single basis function to extract the target by introducing a new thresholding mechanism. It suggests a high potential of MCA for inspection robots for various purposes.

Reframing Different Layers of Morphological Dimension - A Context of Urban Spaces w.r.t Net Zero Energy to Achieve Zero Carbon Emissions

Abstract: The contemporary city presents itself as an urban organism of great complexity, consisting of an increasingly number of elements, systems, dynamics and extracts, which makes their reading an equally complex task. the method of morphological analysis, it is assumed in this context, as an important reading tool of the city, giving order to what is naturally disordered through a classification process of the different elements that structure it –streets,squares, urban blocks,building , plots among others .Specifically, the paper discusses the morphological component of urban design, concentrating on the forms along with configurations of urban centers, as well as current preferences for urban blocks and interconnecting street patterns. Overall, it is concerned with the network of public spaces as well as actual public realm, which is the physical setting or stage for public activity. An important factor in this is one of the key tensions at the core of modern urban design: complexity, conflicts, andsynergies between the requirement for space and movement necessary for economic and social interaction and everyday living. Urban design goals, according to Jan Gehl, should be prioritized in the following order: first it islife, second it isspace, and third it isbuilding.

The Spatial Distribution of Type Ia Supernovae within Host Galaxies

We study how type Ia supernovae (SNe Ia) are spatially distributed within their host galaxies, using data taken from the Sloan Digital Sky Survey (SDSS). This paper specifically tests the hypothesis that the SNe Ia rate traces the r-band light of the morphological component to which supernovae belong. A sample of supernovae is taken from the SDSS SN Survey, and host galaxies are identified. Each host galaxy is decomposed into a bulge and disk, and the distribution of supernovae is compared to the distribution of disk and bulge light. Our methodology is relatively unaffected by seeing. We find that, in galaxies dominated by disk light, SNe Ia trace light closely. The situation is less clear for bulges and ellipticals, because of resolution effects, but the available evidence is also consistent with the hypothesis that bulge/elliptical SNe Ia follow light.

Walkability Infrastructures and Urban Rebalancing: The Case Study of L’Aquila City under Post-Earthquake Reconstruction

This paper describes the first results of the application of an innovative methodology for the development of a walkability overall index for urban street infrastructure, aimed at the application of urban design techniques to improve the urban form and its use by pedestrians. The general objective of the research is to identify the performance of the current city walkable network, to structure public policies and strategies consistent with it aimed at rebalancing settlements and infrastructure, and above all at the development of active mobility. The methodology defined integrates three approaches on walkability analysis: geometric–morphological, proximity, and sociality. In this paper, the analysis process related to the geometric–morphological component and partly to that of proximity will be described. It will be applied to the case study of the city of L’Aquila (Italy), a city undergoing reconstruction after the 2009 earthquake. From the first results of the application of the methodology to the case study, it emerges that the urban area analyzed is not capable of hosting walkable infrastructures unless urban design interventions are aimed at structuring an efficient network of pedestrian paths. In the future development of the study, it is expected to conclude the analysis of the proximity and social components, the other two groups of analysis considerations for walkability, which will complete the experimentation of the general methodology.

Infrared image deblurring with Framelet regularization in the background of salt-and-pepper noise

Infrared images have been widely employed in many fields. However, the relative motion between a target and an imaging device and the interference of salt-and-pepper noise lead to the degradation of infrared images. Traditional infrared image recovery methods require an image to be restored as a whole, which leads to mutual interference between the cartoon and texture parts of an image in the restoration process. In this study, a morphological component analysis decomposition method was developed. This method decomposes an image into cartoon and texture parts. Meanwhile, the l p pseudo-norm is introduced to characterize the sparsity of the stationary Framelet transform coefficients and noise, and mask matrix is applied to protect parts that were not contaminated. The proposed method was then solved using an alternating-direction multiplier method. The proposed method was compared with more advanced image recovery methods. The results show that the proposed method has a significant performance improvement.

(113) A Novel 3D Cellular Model for Peyronie's Disease Treatment Screening: PD.SPHERE

Abstract Introduction Peyronie's disease (PD) is a common issue that affects approximately 10% of males. Currently, researchers primarily study the pathogenesis and potential treatments for PD using monolayer fibroblast cells and a limited number of animal models. However, these models do not accurately represent the complex cellular structure and interactions involved in PD pathogenesis. We have successfully developed a three-dimensional (3D) cellular model, called PD.SPHERE, using a ground-breaking 'micro-gravity' cell culture method. This model is cultivated from extracted human PD tissues and serves as a valuable tool for in vitro treatment screening for PD. However, we have yet to use this model to evaluate the effectiveness of available and potential treatments. Objective Our objective is to determine the efficacy of the novel 3D cellular PD model, PD.SPHERE, as a treatment screening tool. Methods To achieve this, we cultured fibroblasts isolated from human PD tissues using the 'micro-gravity' approach. In this method, cells were seeded in a non-adhesive 96-well plate, placed on an orbital shaker, and incubated at 37°C with 5% CO2 and 95% relative humidity. We confirmed the proper morphology and cellular composition through microscopic assays. This 3D model was then used to assess the effects of collagenase clostridium histolyticum (CCH) and the actinidin enzyme, obtained from kiwi fruits. The PD.SPHERE was treated with actinidin at 10 mg/ml for 48 hours. We subsequently quantified collagen content using a soluble collagen quantification kit and observed viability, morphology, and changes in cellular compositions of the spheroids through immunofluorescent techniques and confocal microscopy. Results Preliminary results from our model have indicated significant changes in cellular morphology. Treatment with actinidin led to a significant decrease in spheroid size and density compared to the control group (P&amp;lt;0.01). The ratio of vimentin and actin filaments to nuclei staining was slightly but significantly reduced (P&amp;lt;0.05) in the spheroids treated with actinidin at 10 mg/ml. The cellular viability of the treated group showed a slight decrease, as revealed by Sytox Green staining. The assessment of collagen contents in the treated spheroids is ongoing. Conclusions Preliminary results suggest that our PD.SPHERE model can be effectively used to assess morphological and cellular component changes in PD tissues after treatment. Actinidin appears to compromise the plasma membrane of fibroblasts in PD.SPHERE. Our model holds promise for personalized treatment planning and potential for developing high-throughput treatment screening platforms. It also demonstrates consistency and reproducibility while closely mimicking the morphology of a PD plaque. Further research is required to collect signature gene expression data, physiological and immunological information, such as collagen production, extracellular matrix organization, and cellular expression of tight junctions, chemokines, and cytokines. These additional measures will help verify our model's pathophysiological, immunological, and treatment response aspects. Disclosure No.

X-Let's Atom Combinations for Modeling and Denoising of OCT Images by Modified Morphological Component Analysis.

An improved analysis of Optical Coherence Tomography (OCT) images of the retina is of essential importance for the correct diagnosis of retinal abnormalities. Unfortunately, OCT images suffer from noise arising from different sources. In particular, speckle noise caused by the scattering of light waves strongly degrades the quality of OCT image acquisitions. In this paper, we employ a Modified Morphological Component Analysis (MMCA) to provide a new method that separates the image into components that contain different features as texture, piecewise smooth parts, and singularities along curves. Each image component is computed as a sparse representation in a suitable dictionary. To create these dictionaries, we use non-data-adaptive multi-scale ( X -let) transforms which have been shown to be well suitable to extract the special OCT image features. In this way, we reach two goals at once. On the one hand, we achieve strongly improved denoising results by applying adaptive local thresholding techniques separately to each image component. The denoising performance outperforms other state-of-the-art denoising algorithms regarding the PSNR as well as no-reference image quality assessments. On the other hand, we obtain a decomposition of the OCT images in well-interpretable image components that can be exploited for further image processing tasks, such as classification.

Modeling and sparsity-promoting separation of wind turbine noise in common-shot gathers

In land seismic acquisition, the quality of common-shot gathers is severely degraded by wind turbine noise (WTN) when wind turbines are operating continuously in survey areas. The high-amplitude WTN overlaps or even completely submerges the body and surface waves (signals). Through time-space and frequency analysis, three main features of the WTN are observed: (1) it is periodic with nearly constant frequencies over time, (2) it is coherent but exhibits different apparent velocities in space, and (3) it has relatively narrow bands with varying central frequencies. The first feature enables WTN to distort signals from shallow to deep, whereas the latter two features make traditional methods that separate noise and signals based on velocity and frequency differences less effective. To suppress the WTN, we first analyze its formation and propagation mechanism and then develop a WTN simulation model to validate the presented mechanism. Based on our analysis of WTN and signals, we consider common-shot gathers as the linear superpositions of periodic WTN and relatively broadband signals (referred to as low-oscillatory signals). This additive mixture aligns with the feasibility premise of morphological component analysis (MCA). Finally, based on MCA theory, we develop a sparsity-promoting separation method to suppress WTN in common-shot gathers. To implement our separation method, we construct two dictionaries using the tunable Q-factor wavelet transform (TQWT) and the discrete cosine transform (DCT). TQWT and DCT can sparsely represent the oscillating waves (signals) and periodic waves (WTN), respectively. This work contributes to the existing knowledge of WTN separation by modeling the periodicity of WTN and the low-oscillatory behavior of a signal, rather than relying on velocity or frequency differences. Our method is tested on synthetic and field data, and both tests demonstrate its effectiveness in separating WTN and preserving signals.

Modern concepts of topographic-anatomical classification of craniopharyngiomas: literature review

To analyze topographic and anatomical classifications of CP available in the world literature. Searching for literature data on classifications of CPs was performed in the PubMed, eLibrary and CyberLeninka databases between 1960 and 2023. We used the following keywords: «craniopharyngioma», «third ventricle», «endoscopic transnasal surgery for craniopharyngiomas». We found 21 eligible manuscripts. The vast majority of studies are devoted to topographic and anatomical location of CPs in their own series: baseline growth along hypothalamic-pituitary axis (4 classifications), relation to the third ventricle (5 classifications), pituitary stalk (2 classifications), optic nerves (2 classifications) and meninges (3 classifications), classification of papillomatous CPs (1 report) and adamantinomatous CPs (1 report), functional classifications of hypothalamic lesions (3 reports). Topographic classifications of CPs characterize their relation to the most important basal brain structures: pituitary gland, hypothalamus, optic pathways and circle of Willis. There are also single topographic and anatomical classifications with emphasis on morphological component of CP. Exact anatomical and topographic variant of CP is often of decisive importance for choosing the optimal surgical approach, possibility and expediency of total resection. Further clarification of relationship of CP to diencephalic structures is associated with improvement of diagnostic methods, in particular, high-resolution MRI (7.0 T) and MR tractography.

Synopsis of Osmunda (royal ferns; Osmundaceae): towards reconciliation of genetic and biogeographic patterns with morphologic variation

Abstract We present an overview of the morphology, biogeography, and ecology of the fern genus Osmunda (i.e. without previously included taxa of Claytosmunda, Osmundastrum, and Plenasium), with a focus on the American O. spectabilis Willd. and Old World O. regalis L. While genetic data supports the separation of these taxa, commonly used morphologic characters to distinguish between O. regalis and O. spectabilis (maximum frond size; pinnae sessile vs. stalked; pinnules opposite vs. alternate; general pinnule proportions) are not infallible. We recorded morphometric differences among and between O. regalis and O. spectabilis and correlated these with spatio-environmental gradients. Our work provides an updated taxonomic overview with full synonymy and diagnostic key of Osmunda. We preliminarily recognize six informal subtaxa in O. regalis (‘regalis’, ‘abyssinica’, ‘huegeliana’, ‘longifolia’, ‘transvaalensis’, ‘obtusifolia’) and three in O. spectabilis (‘spectabilis’, ‘palustris’, ‘piresii’) that separate in a morphological traits-based principal component analysis. The morphotaxa appeared geographically structured and their distribution showed significant correlations with elevation, mean annual precipitation, annual mean temperature, and temperature seasonality. The taxonomic rank and validity of the proposed subtaxa has to be tested through a large-scale sampling, e.g. with comparative cp/nr genomic and cytogenetic analyses. Such future analyses may help to ascertain whether the observed morphologic peculiarities are conditioned solely by abiotic factors (which would allow addressing them as forms) or are manifested in the genome.

Laser ablation of SiC/SiC ceramic matrix composites: Morphological characterization, component evolution and oxidation mechanisms

SiC/SiC composites play a pivotal role in aerospace and energy applications for their excellent resistance to high temperatures, corrosion, oxidation, and low density. This paper delves into the ablation behavior irradiated by a femtosecond laser, examining both qualitative and quantitative aspects through micro/nanostructure and component analysis. The findings reveal significant disparities in elements, compositions, and chemical states across the ablation zones, transition zones, and marginal zones. Moreover, a detailed discussion on the active and passive oxidation mechanisms in the ablation zone is presented. Notably, the oxidation product SiO2 acts as a barrier, impeding oxygen penetration into the material interior.

A fresh perspective on the 3D dynamics of Tycho’s supernova remnant: Ejecta asymmetries in the X-ray band

Context. Even 450 yr after the explosion of the Type Ia SN 1572, the dynamics of the Tycho supernova remnant (Tycho’s SNR) can offer keys to improving our understanding of the explosion mechanism and the interaction of the remnant with the interstellar medium. Aims. To probe the asymmetries and the evolution of the SNR, we tracked the ejecta dynamics using new methods applied to the deep X-ray observations available in the Chandra space telescope archive. Methods. For the line-of-sight (LoS) velocity measurement (Vz), we used the Doppler effect focused on the bright Si line in the 1.6-2.1 keV band. Using the component separation tool called general morphological component analysis (GMCA), we successfully disentangled the red and blueshifted Si ejecta emission. This allowed us to reconstruct a map of the peak energy of the silicon line with a total coverage of the SNR at a 2″ resolution. We then obtained a proxy of the integrated velocity along the LoS. For the proper motions in the plane of the sky (Vxy), we developed a new method, called Poisson optical flow (POF), to measure the displacement of two-dimensional (2D) features between the observations of 2003 and 2009. The result is a field of around 1700 velocity vectors covering the entire SNR. Results. These exhaustive three-dimensional (3D) velocity measurements reveal the complex dynamics of Tycho’s SNR. Our study sheds light on a patchy Vz map, where most regions are dominated by the foreground or the background part of the shell. On a large scale, an asymmetry is seen, with the north being dominantly blueshifted and the south redshifted. The proper-motion vector field, Vxy, highlights different dynamics between the eastern and the western parts of the SNR. The eastern velocity field is more disturbed by external inhomogeneities and the south-east ejecta knot. In particular, a slow-down is observed in the north-east, which could be due to the interaction with higher densities, as seen in other wavelengths. The vector field is also used to backtrace the center of the explosion, which is then compared with potential stellar progenitors in the area. The latest Gaia DR3 parallax measurements exclude most stellar candidates based on their distances, leaving only stars B and E as possible candidates, at respective distances of 2.53−0.20+0.23 kpc and 3.52−1.0+2.0 kpc, which are consistent with the expected distance range of the SNR at 2.5–4 kpc.