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An important objective in computer vision is to analyze multiple images and subsequently reconstruct the shape and structure in 3D. Traditional multi-view 3D reconstruction techniques extract and match key features from images with known camera parameters. However, this approach is inefficient and fails to fully exploit the advantages of multi-view information. Advancements in deep learning have revolutionized multi-view 3D reconstruction by enabling end-to-end 3D shape inferencing without the need for sequential feature matching typically found in conventional algorithms. Recent rapid progress in this field necessitates a thorough review of current algorithms and provide insight into method of improving 3D reconstruction performance. This review classifies reconstruction algorithms according to their resultant model, including depth map, voxel, point cloud, mesh, and implicit surface. Additionally, this review encompasses the inclusion of frequently employed network training loss functions for network training, assessment metrics, and the incorporation of 3D datasets. Experimental results are also presented to assess the performance of different algorithms. Finally, the paper concludes with a summary, discussion of challenges, and potential future directions. [ABSTRACT FROM AUTHOR]

Background: Determining biomechanical changes in vaginal tissue with tissue stretch is critical for understanding the role of mechanotransduction on vaginal tissue healing. Noncontact dynamic optical coherence elastography (OCE) can quantify biomechanical changes in vaginal tissues noninvasively. Improved vaginal tissue healing will reduce postoperative complications from vaginal surgery.Aims: (1) To complete dimensional assessments (DAs) of the vaginal tract. (2) To elucidate biomechanical properties (BMP) of porcine vaginal tissues (PVT). (3) Compare BMPs of piglet and adult PVTs after placement of customized vaginal dilators (VD) by OCE and uniaxial mechanical testing (MT).Methods: Pilot study using adult nulliparous pig and piglet PVTs (n = 20 each). DA of PVTs was performed using silicone molding. 3D-printed VDs were used to achieve different Relative Diameter Change (RDC) of the PVTs (no dilatation, and -50%, 0%, 50% RDC). Elastographic testing using OCE and MT.Results: Using OCE, no significant differences (SD) were noted between adult and piglet PVT (p = 0.74) or by stretch direction (p = 0.300). SD was noted with increasing RDC (p = 0.023). Using MT, there were SD in tissue stiffness between adult and piglet PVT (p = 0.048), but no SD as a function of RDC (p = 0.750) or stretch direction (p = 0.592).Conclusions: This study quantified biomechanical changes in PVT with customized stretching by 3D printed VD using both OCE and MT. This work has implications for the mechanotransduction of vaginal wound healing and noninvasive assessment of vaginal diseases. [ABSTRACT FROM AUTHOR]

Treatment of prosthetic joint infections often involves multiple surgeries and prolonged antibiotic administration, resulting in a significant burden to patients and the healthcare system. We are exploring a non-invasive method to eradicate biofilm on metal implants utilizing high-frequency alternating magnetic fields (AMF) which can achieve surface induction heating. Although proof-of-concept studies demonstrate the ability of AMF to eradicate biofilm in vitro, there is a legitimate safety concern related to the potential for thermal damage to surrounding tissues when considering heating implanted metal objects. The goal of this study was to explore the feasibility of detecting acoustic emissions associated with boiling at the interface between a metal implant and surrounding soft tissue as a wireless safety sensing mechanism. Acoustic emissions generated during in vitro and in vivo AMF exposures were captured with a hydrophone, and the relationship with surface temperature analyzed. The effect of AMF exposure power, surrounding media composition, implant location within the AMF transmitter, and implant geometry on acoustic detection during AMF therapy was also evaluated. Acoustic emissions were reliably identified in both tissue-mimicking phantom and mouse studies, and their onset coincided with the implant temperature reaching the boiling threshold. The viscosity of the surrounding medium did not impact the production of acoustic emissions; however, emissions were not present when the medium was oil due to the higher boiling point. Results of simulations and in vivo studies suggest that short-duration, high-power AMF exposures combined with acoustic sensing can be used to minimize the amount of thermal damage in surrounding tissues. These studies support the hypothesis that detection of boiling associated acoustic emissions at a metal/tissue interface could serve as a real-time, wireless safety indicator during AMF treatment of biofilm on metallic implants. [ABSTRACT FROM AUTHOR]