Landmark based morphometric analysis of the pulmonary valve

Surgical and Radiologic Anatomy, Год журнала: 2025, Номер 47(1)

Опубликована: Апрель 3, 2025

Язык: Английский

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Notes on the biology, distribution, sexual dimorphism and variability of Athis flavimaculata (Miller, 1972) (Lepidoptera: Castniidae: Castniinae: Castniini)

Annales de la Société entomologique de France (N S ), Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Апрель 7, 2025

Язык: Английский

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Moving to 3D: Quantifying Virtual Surgical Planning Accuracy Using Geometric Morphometrics and Cephalometrics in Facial Feminization Surgery

Journal of Craniofacial Surgery, Год журнала: 2025, Номер unknown

Опубликована: Апрель 18, 2025

Facial feminization surgeries (FFS) aim to feminize facial features in transgender women and include frontal sinus setback, rhinoplasty, genioplasty. FFS may be performed with virtual surgical planning (VSP) help generate reproducible predictable results. However, quantification of changes is challenging because these often occur multiple axes dimensions that are not easily reduced a single error metric. The objective this study was apply cephalometrics geometric morphometrics analyses evaluate shape patients undergoing genioplasty mandibular contouring. Fourteen who underwent genioplasty, contouring, or both, surgeon also had matching post-operative followup scans were included. Three-dimensional reconstructions preoperative, postoperative, VSP-guided “planned” computed tomography each patient created using 3D Slicer. Cephalometrics used analyze changes. Pairwise 1-tailed t tests showed postoperative bigonial width values significantly aligned planned across individuals. Geometric morphometric analyses, specifically Generalized Procrustes Analysis, demonstrated the fixed landmark data set (3-piece genioplasty) gonial angle semi-landmark (mandibular contouring). Among scan sets did meet hypothesis, final between preoperative shapes, presumably due post-osteotomy burring captured on VSP. Future work greater number landmarks, such as statistical modeling approaches, evaluate bony after  better integrate bone position concomitant bony shape.

Язык: Английский

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Assessing the application of landmark-free morphometrics to macroevolutionary analyses

BMC Ecology and Evolution, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 27, 2025

Abstract The study of phenotypic evolution has been transformed in recent decades by methods allowing precise quantification anatomical shape, particular 3D geometric morphometrics. While this effectiveness morphometrics demonstrated thousands studies, it generally requires manual or semi-automated landmarking, which is time-consuming, susceptible to operator bias, and limits comparisons across morphologically disparate taxa. Emerging automated methods, particularly landmark-free techniques, offer potential solutions, but these approaches have thus far primarily applied closely related forms. In study, we explore the utility automated, for macroevolutionary analyses. We compare an application Large Deformation Diffeomorphic Metric Mapping (LDDMM) known as Deterministic Atlas Analysis (DAA) with a high-density morphometric approach, using dataset 322 mammals spanning 180 families. Initially, challenges arose from mixed modalities (computed tomography (CT) surface scans), addressed standardising data Poisson reconstruction that creates watertight, closed surfaces all specimens. After standardisation, observed significant improvement correspondence between patterns shape variation measured landmarking DAA, although differences emerged, especially Primates Cetacea. further evaluated downstream effects on analyses, finding both produced comparable varying estimates phylogenetic signal, morphological disparity evolutionary rates. Our findings highlight like DAA large scale studies taxa, owing their enhanced efficiency. However, they also reveal several should be before can widely adopted. context, outline issues, propose solutions based existing literature, identify avenues research. argue incorporating improvements, analyses could expanded, thereby enhancing scope enabling analysis larger more diverse datasets.

Язык: Английский

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Morphological Species Delimitation in The Western Pond Turtle (Actinemys): Can Machine Learning Methods Aid in Cryptic Species Identification?

Integrative Organismal Biology, Год журнала: 2024, Номер 6(1)

Опубликована: Янв. 1, 2024

As the discovery of cryptic species has increased in frequency, there been an interest whether geometric morphometric data can detect fine-scale patterns variation that be used to morphologically diagnose such species. We a combination and ensemble five supervised machine learning methods (MLMs) investigate plastron shape differentiate two putative turtle species, Actinemys marmorata pallida. focus considerable research due its biogeographic distribution conservation status. Despite this work, reliable morphological diagnoses for are still lacking. validated our approach on datasets, one consisting eight disparate emydid other subspecies Trachemys (T. scripta scripta, T. elegans). The validation tests returned near-perfect classification rates, demonstrating is effective means distinguishing taxonomic groups emydids via MLMs. In contrast, same did not return high rates set alternative phylogeographic binning schemes Actinemys. All hypotheses performed poorly relative datasets no single hypothesis was unequivocally supported Two had performance marginally better than remaining hypotheses. both cases, those favored two-species split between A. pallida specimens, lending tentative support However, results also underscore as whole lower levels plastral turtles within Emydidae, but reason conservatism unclear.

Язык: Английский

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