Fringe projection profilometry (FPP) is a widely adopted technique for three-dimensional (3D) reconstruction. However, its depth-of-field (DOF) is constrained when reconstructing defocused scenes, mainly due to limitations in the camera model and image blur. This study introduces a camera model based on the ideal optical system, which effectively reduces the systematic errors associated with the conventional pinhole camera model. A calibration method to determine the optical system parameters of the improved camera model is proposed. Additionally, the point spread function (PSF) of the camera is calibrated and the image is deblurred through non-blind deconvolution, thereby minimizing the phase aliasing resulting from defocus. Experimental results validate the potential of the proposed method for accurate 3D reconstruction in scenes with a wide depth range.
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http://dx.doi.org/10.1364/OE.519459 | DOI Listing |
Phys Med Biol
January 2025
CREATIS, INSA de Lyon, Bâtiment Blaise Pascal, 7 Avenue Jean Capelle, Villeurbanne, 69621 Cedex , FRANCE.
Compton cameras are imaging devices that may improve observation of sources of γ photons. We present CoReSi, a Compton Reconstruction and Simulation software implemented in Python and powered by PyTorch to leverage multi-threading and for easy interfacing with image processing and deep learning algorithms. The code is mainly dedicated to medical imaging and for near-field experiments where the images are reconstructed in 3D.
View Article and Find Full Text PDFLangenbecks Arch Surg
January 2025
Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Purpose: Assessing surgical skills is vital for training surgeons, but creating objective, automated evaluation systems is challenging, especially in robotic surgery. Surgical procedures generally involve dissection and exposure (D/E), and their duration and proportion can be used for skill assessment. This study aimed to develop an AI model to acquire D/E parameters in robot-assisted radical prostatectomy (RARP) and verify if these parameters could distinguish between novice and expert surgeons.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Surgery, Saint-Louis Regional Hospital, Gaston Berger University, Road of Ngallelle, 234, Saint-Louis, Senegal.
Introduction: Video feedback, particularly with a head-mounted camera, has previously been described as a useful debriefing tool in well-funded health systems but has never been performed in a low-resource environment. The purpose of this randomized, intervention-controlled study is to evaluate the feasibility of using video feedback with a head-mounted camera during intestinal anastomosis simulation training in a low-resource setting.
Methodology: This study recruited 14 first-year surgery residents in Senegal, who were randomized into control and camera groups.
BMC Prim Care
January 2025
Department of Family Medicine, Faculty of Medicine, McGill University, 5858 Ch. de la Côte des Neiges, Montreal, QC, H3S 1Z1, Canada.
Background: Virtual care (VC) for dementia in primary care settings is an important aspect of healthcare delivery in Canada. However, the evidence informing optimal and sustainable provision of VC for persons living with dementia (PLWD) and their care partners is scarce. The objectives of this study were to (1) describe the frequency of VC use, (2) identify characteristics of PLWD, care partners, and family physicians (FPs) that are associated with the use of VC, and (3) explore FPs' perceptions of barriers and facilitators to provide VC for PLWD and their care partners.
View Article and Find Full Text PDFSci Data
January 2025
IFREMER Délégation Océan Indien (DOI), Le Port, 97420, La Réunion, Rue Jean Bertho, France.
Citizen Science initiatives have a worldwide impact on environmental research by providing data at a global scale and high resolution. Mapping marine biodiversity remains a key challenge to which citizen initiatives can contribute. Here we describe a dataset made of both underwater and aerial imagery collected in shallow tropical coastal areas by using various low cost platforms operated either by citizens or researchers.
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