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This article presents an evaluation of biliary tract segmentation methods used for 3D reconstruction, which may be very usefull in various critical interventions, such as endoscopic retrograde cholangiopancreatography (ERCP), using the 3D…

This paper introduces a novel method for reconstructing cone beam computed tomography (CBCT) images for arbitrary orbits using a differentiable shift-variant filtered backprojection (FBP) neural network. Traditional CBCT reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Chengze Ye , Linda-Sophie Schneider , Yipeng Sun , Mareike Thies , Siyuan Mei , Andreas Maier

Fractures of the cervical spine are a medical emergency and may lead to permanent paralysis and even death. Accurate diagnosis in patients with suspected fractures by computed tomography (CT) is critical to patient management. In this…

Quantitative computed tomography (QCT) is a standard method to determine bone mineral density (BMD) in the spine. Traditionally single 8 - 10 mm thick slices have been analyzed only. Current spiral CT scanners provide true 3D acquisition…

Computer Vision and Pattern Recognition · Computer Science 2017-05-24 Andre Mastmeyer , Klaus Engelke , Christina Fuchs , Willi Kalender

Cone Beam Computed Tomography (CBCT) plays a vital role in clinical imaging. Traditional methods typically require hundreds of 2D X-ray projections to reconstruct a high-quality 3D CBCT image, leading to considerable radiation exposure.…

Image and Video Processing · Electrical Eng. & Systems 2024-10-08 Zhentao Liu , Yu Fang , Changjian Li , Han Wu , Yuan Liu , Dinggang Shen , Zhiming Cui

Focusing on the complicated pathological features, such as blurred boundaries, severe scale differences between symptoms, background noise interference, etc., in the task of retinal edema lesions joint segmentation from OCT images and…

Image and Video Processing · Electrical Eng. & Systems 2024-01-03 Meng Wang , Kai Yu , Chun-Mei Feng , Ke Zou , Yanyu Xu , Qingquan Meng , Rick Siow Mong Goh , Yong Liu , Huazhu Fu

In radiation therapy (RT), the reliance on pre-treatment computed tomography (CT) images encounter challenges due to anatomical changes, necessitating adaptive planning. Daily cone-beam CT (CBCT) imaging, pivotal for therapy adjustment,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Joonil Hwang , Sangjoon Park , NaHyeon Park , Seungryong Cho , Jin Sung Kim

Computed Tomography (CT) of the temporal bone has become an important method for diagnosing ear diseases. Due to the different posture of the subject and the settings of CT scanners, the CT image of the human temporal bone should be…

Image and Video Processing · Electrical Eng. & Systems 2020-06-30 Xiaoguang Li , Peng Fu , Hongxia Yin , ZhenChang Wang , Li Zhuo , Hui Zhang

X-Ray based computed tomography (CT) is a well-established technique for determining the three-dimensional structure of an object from its two-dimensional projections. In the past few decades, there have been significant advancements in the…

Medical Physics · Physics 2023-04-26 Dinesh Kumar , Dilworth Y. Parkinson , Jeffrey J. Donatelli

Electron tomography is a widely used technique for 3D structural analysis of nanomaterials, but it can cause damage to samples due to high electron doses and long exposure times. To minimize such damage, researchers often reduce beam…

Image and Video Processing · Electrical Eng. & Systems 2023-04-05 Timothy M. Craig , Ajinkya A Kadu , Kees Joost Batenburg , Sara Bals

Recently, spectral CT has been drawing a lot of attention in a variety of clinical applications primarily due to its capability of providing quantitative information about material properties. The quantitative integrity of the reconstructed…

Medical Physics · Physics 2018-01-12 Shiyu Xu , Peter Prinsen , Jens Wiegert , Ravindra Manjeshwar

Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths and the third most prevalent malignant tumour worldwide. Early detection of CRC remains problematic due to its non-specific and often embarrassing symptoms,…

Machine Learning · Computer Science 2025-04-25 Natalia Sikora , Robert L. Manschke , Alethea M. Tang , Peter Dunstan , Dean A. Harris , Su Yang

Echocardiography plays a fundamental role in the extraction of important clinical parameters (e.g. left ventricular volume and ejection fraction) required to determine the presence and severity of heart-related conditions. When deploying…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Thierry Judge , Olivier Bernard , Woo-Jin Cho Kim , Alberto Gomez , Arian Beqiri , Agisilaos Chartsias , Pierre-Marc Jodoin

The electronCT technique is an imaging method based on the multiple Coulomb scattering of relativistic electrons and has potential applications in medical and industrial imaging. It utilizes a pencil beam of electrons in the very high…

The treatment of age-related macular degeneration (AMD) requires continuous eye exams using optical coherence tomography (OCT). The need for treatment is determined by the presence or change of disease-specific OCT-based biomarkers.…

Image and Video Processing · Electrical Eng. & Systems 2026-03-12 Timo Kepp , Helge Sudkamp , Claus von der Burchard , Hendrik Schenke , Peter Koch , Gereon Hüttmann , Johann Roider , Mattias P. Heinrich , Heinz Handels

We investigate the ability of a local bi-orthogonal decomposition to build texture segmentation of images. Using the structures associated to the local decomposition of the image independent row and columns we perform a segmentation, where…

chao-dyn · Physics 2008-02-03 J. A. Dente , R. Vilela Mendes , R. Lima

Chest X-ray (CXR) images are among the most commonly used diagnostic imaging modalities in clinical practice. Stringent privacy constraints often limit the public dissemination of patient CXR images, contributing to the increasing use of…

Machine Learning · Statistics 2026-03-20 Edric Tam , Barbara E Engelhardt

Injuries of the spine, and its posterior elements in particular, are a common occurrence in trauma patients, with potentially devastating consequences. Computer-aided detection (CADe) could assist in the detection and classification of…

Computer Vision and Pattern Recognition · Computer Science 2016-09-21 Holger R. Roth , Yinong Wang , Jianhua Yao , Le Lu , Joseph E. Burns , Ronald M. Summers

The auditory ossicles that are located in the middle ear are the smallest bones in the human body. Their damage will result in hearing loss. It is therefore important to be able to automatically diagnose ossicles' diseases based on Computed…

Computer Vision and Pattern Recognition · Computer Science 2022-03-03 Na Lei , Jisui Huang , Yuxue Ren , Emil Saucan , Zhenchang Wang

Detection of unwanted (`foreign') objects within products is a common procedure in many branches of industry for maintaining production quality. X-ray imaging is a fast, non-invasive and widely applicable method for foreign object…

Computer Vision and Pattern Recognition · Computer Science 2022-08-19 Mathé T. Zeegers , Tristan van Leeuwen , Daniël M. Pelt , Sophia Bethany Coban , Robert van Liere , Kees Joost Batenburg