AIMC Topic: X-Ray Microtomography
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A Deep Learning Approach for Rapid and Generalizable Denoising of Photon-Counting Micro-CT Images.
Tomography (Ann Arbor, Mich.)
Jul 2, 2023
Photon-counting CT (PCCT) is powerful for spectral imaging and material decomposition but produces noisy weighted filtered backprojection (wFBP) reconstructions. Although iterative reconstruction effectively denoises these images, it requires extensi...
Control of drug release kinetics from hot-melt extruded drug-loaded polycaprolactone matrices.
Journal of controlled release : official journal of the Controlled Release Society
Jun 15, 2023
Sustained local delivery of meloxicam by polymeric structures is desirable for preventing subacute inflammation and biofilm formation following tissue incision or injury. Our previous study demonstrated that meloxicam release from hot-melt extruded (...
A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.
Respiratory research
May 9, 2023
Micro-computed tomography (µCT)-based imaging plays a key role in monitoring disease progression and response to candidate drugs in various animal models of human disease, but manual image processing is still highly time-consuming and prone to operat...
A hybrid approach to full-scale reconstruction of renal arterial network.
Scientific reports
May 9, 2023
The renal vasculature, acting as a resource distribution network, plays an important role in both the physiology and pathophysiology of the kidney. However, no imaging techniques allow an assessment of the structure and function of the renal vasculat...
Dose reduction and image enhancement in micro-CT using deep learning.
Medical physics
Apr 5, 2023
BACKGROUND: In preclinical settings, micro-computed tomography (CT) provides a powerful tool to acquire high resolution anatomical images of rodents and offers the advantage to in vivo non-invasively assess disease progression and therapy efficacy. M...
Quantification and comparison of the regional acceleratory phenomenon in bone following piezosurgery or bur osteotomy: A pilot study in rats.
Clinical and experimental dental research
Nov 11, 2022
BACKGROUND/OBJECTIVE: The Regional Acceleratory Phenomenon (RAP) can be induced surgically via decortication (selective cortical penetrations) of bone to accelerate orthodontic tooth movement. Few studies have compared the impact and efficiency of di...
A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models.
Respiratory research
Nov 11, 2022
Idiopathic pulmonary fibrosis, the archetype of pulmonary fibrosis (PF), is a chronic lung disease of a poor prognosis, characterized by progressively worsening of lung function. Although histology is still the gold standard for PF assessment in prec...
Segmentation of trabecular bone microdamage in Xray microCT images using a two-step deep learning method.
Journal of the mechanical behavior of biomedical materials
Oct 25, 2022
INTRODUCTION: One of the current approaches to improve our understanding of osteoporosis is to study the development of bone microdamage under mechanical loading. The current practice for evaluating bone microdamage is to quantify damage volume from ...
Human Remains Identification Using Micro-CT, Chemometric and AI Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Sulphuric Acid Significant Impact.
Molecules (Basel, Switzerland)
Jun 23, 2022
(1) Teeth, in humans, represent the most resilient tissues. However, exposure to concentrated acids might lead to their dissolving, thus making human identification difficult. Teeth often contain dental restorations from materials that are even more ...
Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response.
International journal for numerical methods in biomedical engineering
Apr 26, 2022
This article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists of ...
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