AIMC Topic: Imaging, Three-Dimensional

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User experience of and satisfaction with computer-aided design software when designing dental prostheses: a multicenter survey study.

International journal of computerized dentistry
AIM: The present study aimed to compare the responses and satisfaction reported by users with varying levels of experience regarding different types of CAD software programs to design crowns.

Sketch2Human: Deep Human Generation With Disentangled Geometry and Appearance Constraints.

IEEE transactions on visualization and computer graphics
Geometry- and appearance-controlled full-body human image generation is an interesting but challenging task. Existing solutions are either unconditional or dependent on coarse conditions (e.g., pose, text), thus lacking explicit geometry and appearan...

Investigating plant morphogenesis using 3D digital organs.

Journal of experimental botany
How plant organs acquire their three-dimensional (3D) size and shape remains a prominent question in plant biology. Central questions revolve around how differential gene activity influences the growth of individual cell assemblies and how such growt...

[Development of a machine learning-based diagnostic model for T-shaped uterus using transvaginal 3D ultrasound quantitative parameters].

Zhonghua yi xue za zhi
To develop a machine learning diagnostic model for T-shaped uterus based on quantitative parameters from 3D transvaginal ultrasound. A retrospective cross-sectional study was conducted, recruiting 304 patients who visited the hysteroscopy centre of...

Integrating Artificial Intelligence into Mixed Reality for Back Detection and Virtual 3D Spine Visualization on Scoliosis Patients.

Studies in health technology and informatics
Adolescent Idiopathic Scoliosis is a complex three-dimensional spinal deformity that typically develops between the ages of 10 and 18 years. If untreated, this condition can significantly impair a patient's quality of life and functional capabilities...

A multi-stage 3D convolutional neural network algorithm for CT-based lung segment parcellation.

Journal of applied clinical medical physics
BACKGROUND: Current approaches to lung parcellation utilize established fissures between lobes to provide estimates of lobar volume. However, deep learning segment parcellation provides the ability to better assess regional heterogeneity in ventilati...

Generation of synthetic tomographic images from biplanar X-ray: a narrative review of history, methods, and the state of the art.

Journal of neurosurgical sciences
This narrative review presents deep learning-based strategies for generating synthetic 3D CT-like images from biplanar or multiplanar 2D X-ray data. Current limitations of conventional CT imaging are discussed, hence emphasizing the potential of synt...

Three-Dimensional Visualisation of Blood Vessels in Human Gliomas Using Tissue Clearing and Deep Learning.

Neuropathology and applied neurobiology
Gliomas, with their intricate and aggressive nature, call for a detailed visualisation of their vasculature. Traditional 2D imaging often overlooks the spatial heterogeneity of tumours. Our study overcomes this by combining tissue clearing, 3D-confoc...

[AI-based applications in medical image computing].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The processing of medical images plays a central role in modern diagnostics and therapy. Automated processing and analysis of medical images can efficiently accelerate clinical workflows and open new opportunities for improved patient care. However, ...

Surface scanning and imaging in craniofacial surgery.

Current opinion in otolaryngology & head and neck surgery
PURPOSE OF REVIEW: This review describes recent innovations in craniofacial imaging, focusing on emerging techniques such as 3D photogrammetry, smartphone-based scanning, and artificial intelligence applied to cephalometric assessments in facial plas...