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Electromagnetic tracking (EMT) is a promising technology for automated catheter and applicator reconstruc- 10 tions in brachytherapy. In this work, a proof-of-concept is presented for reconstruction of the individual channels of a shielded…

Medical Physics · Physics 2018-05-07 D. Tho , E. Racine , H. Easton , W. Y. Song , L. Beaulieu

The reconstruction and error detection performance of a Flexitron research unit equipped with a special check-cable in which is integrated an EM sensor (NDI Aurora V3) that enables tracking and reconstruction capability was assessed.…

Medical Physics · Physics 2021-09-15 Daline Tho , Marie-Claude Lavallée , Luc Beaulieu

For minimally invasive endovascular surgery, the localization of catheters and guidewires inside the human body is essential. Electromagnetic (EM) tracking is one technology that allows localizing such surgical instruments. For localizing…

Digital Breast Tomosynthesis (DBT) provides an insight into the fine details of normal fibroglandular tissues and abnormal lesions by reconstructing a pseudo-3D image of the breast. In this respect, DBT overcomes a major limitation of…

Computer Vision and Pattern Recognition · Computer Science 2013-07-24 Guang Yang , John H. Hipwell , David J. Hawkes , Simon R. Arridge

Electromagnetic tracking (EMT) is a core platform technology in the navigation and visualisation of image-guided procedures. The technology provides high tracking accuracy in non-line-of-sight environments, allowing instrument navigation in…

Signal Processing · Electrical Eng. & Systems 2018-07-31 Herman Alexander Jaeger , Stephen Hinds , Pádraig Cantillon-Murphy

An image restoration approach based on a Bayesian maximum entropy method (MEM) has been applied to a radiological image deconvolution problem, that of reduction of geometric blurring in magnification mammography. The aim of the work is to…

Medical Physics · Physics 2009-11-11 A Jannetta , J C Jackson , C J Kotre , I P Birch , K J Robson , R Padgett

Industry standards require medical device manufacturers to perform implant-induced artefact testing in phantoms at a pre-clinical stage to define the extent of artefacts that can be expected during MRI. Once a device is commercially…

Medical Physics · Physics 2023-06-19 Guy Fierens , Joris Walraevens , Ronald Peeters , Christ Glorieux , Nicolas Verhaert

Tactile sensing is fundamental to robotic systems, enabling interactions through physical contact in multiple tasks. Despite its importance, achieving high-resolution, large-area tactile sensing remains challenging. Electrical Impedance…

Robotics · Computer Science 2025-09-18 Huazhi Dong , Ronald B. Liu , Sihao Teng , Delin Hu , Peisan , E , Francesco Giorgio-Serchi , Yunjie Yang

Ultrasound (US) is the most widely used fetal imaging technique. However, US images have limited capture range, and suffer from view dependent artefacts such as acoustic shadows. Compounding of overlapping 3D US acquisitions into a…

Objective: In this work we address limitations in state-of-the-art ultrasound robots by designing and integrating a novel soft robotic system for ultrasound imaging. It employs the inherent qualities of soft fluidic actuators to establish…

Robotics · Computer Science 2020-07-24 Lukas Lindenroth , Richard James Housden , Shuangyi Wang , Junghwan Back , Kawal Rhode , Hongbin Liu

Breast lesion localization using tactile imaging is a new and developing direction in medical science. To achieve the goal, proper image reconstruction and image registration can be a valuable asset. In this paper, a new approach of the…

Computer Vision and Pattern Recognition · Computer Science 2019-10-16 Shuvendu Rana , Rory Hampson , Gordon Dobie

We participated in the SynthRAD2025 challenge (Tasks 1 and 2) with a unified pipeline for synthetic CT (sCT) generation from MRI and CBCT, implemented using the KonfAI framework. Our model is a 2.5D U-Net++ with a ResNet-34 encoder, trained…

Computer Vision and Pattern Recognition · Computer Science 2025-10-27 Valentin Boussot , Cédric Hémon , Jean-Claude Nunes , Jean-Louis Dillenseger

Objective: Time-difference electrical impedance tomography (EIT) is gaining widespread use for bedside lung monitoring in intensive care patients suffering from lung-related diseases. It involves collecting voltage measurements from…

Image registration is an important preprocessing step in neuroimaging which allows for the matching of anatomical and functional information between modalities and subjects. This can be challenging if there are gross differences in image…

Objectives: Computerized phantoms play an essential role in various applications of medical imaging research. Although the existing computerized phantoms can model anatomical variations through organ and phantom scaling, this does not…

Image and Video Processing · Electrical Eng. & Systems 2021-04-20 Junyu Chen , Ye Li , Yong Du , Eric C. Frey

To study the fundamental physics of complex multiphase flow systems using advanced measurement techniques, especially the electrical capacitance tomography (ECT) approach, this article carries out an initial literature review of the ECT…

Computer Vision and Pattern Recognition · Computer Science 2015-10-16 Kezhi Li

Validation of deformable image registration techniques is extremely important, but hard, especially when complex deformations or content mismatch are involved. These complex deformations and content mismatch, for example, occur after the…

We demonstrate electromagnetic induction imaging with an unshielded, portable radio-frequency atomic magnetometer scanning over the target object. This configuration satisfies standard requirements in typical applications, from security…

Atomic Physics · Physics 2021-07-28 Cameron Deans , Yuval Cohen , Han Yao , Benjamin Maddox , Antonio Vigilante , Ferruccio Renzoni

In this paper, we formulate a novel image registration formalism dedicated to the estimation of unknown condition-related images, based on two or more known images and their associated conditions. We show how to practically model this…

Computer Vision and Pattern Recognition · Computer Science 2025-05-16 Ziad Kheil , Lucas Robinet , Laurent Risser , Soleakhena Ken

This paper presents a novel method for monocular patient-to-image intraoperative registration, specifically designed to operate without any external hardware tracking equipment or fiducial point markers. Leveraging a synthetic microscopy…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Yike Zhang , Eduardo Davalos Anaya , Jack H. Noble
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