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We present a novel methodology to detect imperfect bilateral symmetry in CT of human anatomy. In this paper, the structurally symmetric nature of the pelvic bone is explored and is used to provide interventional image augmentation for…

计算机视觉与模式识别 · 计算机科学 2020-09-29 Javad Fotouhi , Giacomo Taylor , Mathias Unberath , Alex Johnson , Sing Chun Lee , Greg Osgood , Mehran Armand , Nassir Navab

Visual cues of enforcing bilaterally symmetric anatomies as normal findings are widely used in clinical practice to disambiguate subtle abnormalities from medical images. So far, inadequate research attention has been received on…

计算机视觉与模式识别 · 计算机科学 2020-07-24 Haomin Chen , Yirui Wang , Kang Zheng , Weijian Li , Chi-Tung Cheng , Adam P. Harrison , Jing Xiao , Gregory D. Hager , Le Lu , Chien-Hung Liao , Shun Miao

Two algorithms for solving misalignment issues in penalized PET/CT reconstruction using anatomical priors are proposed. Both approaches are based on a recently published joint motion estimation and image reconstruction method. The first…

The main respiratory muscle, the diaphragm, is an example of a thin structure. We aim to perform detailed numerical simulations of the muscle mechanics based on individual patient data. This requires a representation of the diaphragm…

The segmentation of pelvic fracture fragments in CT and X-ray images is crucial for trauma diagnosis, surgical planning, and intraoperative guidance. However, accurately and efficiently delineating the bone fragments remains a significant…

Most data-driven models for medical image analysis rely on universal augmentations to improve accuracy. Experimental evidence has confirmed their effectiveness, but the unclear mechanism underlying them poses a barrier to the widespread…

计算机视觉与模式识别 · 计算机科学 2025-03-27 Yiqin Zhang , Qingkui Chen , Chen Huang , Zhengjie Zhang , Meiling Chen , Zhibing Fu

Bone segmentation is an essential step for the preoperative planning of fracture trauma surgery. The automated segmentation of fractured bone from computed tomography (CT) scans remains challenging, due to the large differences of fractures…

计算机视觉与模式识别 · 计算机科学 2024-05-03 Yu Zhou , Xiahao Zou , Yi Wang

Beamforming is an essential step in the ultrasound image formation pipeline and has recently attracted growing interest. An important goal of beamforming is to increase the image spatial resolution, or in other words to narrow down the…

图像与视频处理 · 电气工程与系统科学 2022-09-01 Sobhan Goudarzi , Adrian Basarab , Hassan Rivaz

High energy impacts at joint locations often generate highly fragmented, or comminuted, bone fractures. Current approaches for treatment require physicians to decide how to classify the fracture within a hierarchy fracture severity…

计算机视觉与模式识别 · 计算机科学 2021-02-24 Pengcheng Liu , Nathan Hewitt , Waseem Shadid , Andrew Willis

Computed tomography is a method for synthesizing volumetric or cross-sectional images of an object from a collection of projections. Popular reconstruction methods for computed tomography are based on idealized models and assumptions that…

数值分析 · 数学 2022-03-03 Frederik H. Pedersen , Jakob S. Jørgensen , Martin S. Andersen

Surgical planning for complex tibial fractures can be challenging for surgeons, as the 3D structure of the later desirable bone alignment may be difficult to imagine. To assist in such planning, we address the challenge of predicting a…

Cross-sectional imaging of human organ serves as a critical tool to provide diagnostic results of many diseases. Based on a unique body coordinate system, we present a method that we use to reconstruct any cross-sectional imaging of organ…

Partial Volume effects are present at the boundary between any two types of material in a CT image due to the scanner's Point Spread Function, finite voxel resolution, and importantly, the discrepancy in radiodensity between the two…

图像与视频处理 · 电气工程与系统科学 2023-09-06 Aren Beagley , Hannah Richards , Joshua W. Giles

Brain lesions, including stroke and tumours, have a high degree of variability in terms of location, size, intensity and form, making automatic segmentation difficult. We propose an improvement to existing segmentation methods by exploiting…

图像与视频处理 · 电气工程与系统科学 2019-07-22 Kevin Raina , Uladzimir Yahorau , Tanya Schmah

X-ray computed tomography (CT) is one of widely used diagnostic tools for medical and dental tomographic imaging of the human body. However, the standard filtered backprojection reconstruction method requires the complete knowledge of the…

数值分析 · 数学 2016-02-24 Jae Kyu Choi , Bin Dong , Xiaoqun Zhang

This paper presents a new regularization method to train a fully convolutional network for semantic tissue segmentation in histopathological images. This method relies on the benefit of unsupervised learning, in the form of image…

计算机视觉与模式识别 · 计算机科学 2020-11-26 C. T. Sari , C. Sokmensuer , C. Gunduz-Demir

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…

计算机视觉与模式识别 · 计算机科学 2019-10-16 Shuvendu Rana , Rory Hampson , Gordon Dobie

All imaging modalities such as computed tomography (CT), emission tomography and magnetic resonance imaging (MRI) require a reconstruction approach to produce an image. A common image processing task for applications that utilise those…

Radiography is widely used in orthopedics for its affordability and low radiation exposure. 3D reconstruction from a single radiograph, so-called 2D-3D reconstruction, offers the possibility of various clinical applications, but achieving…

图像与视频处理 · 电气工程与系统科学 2024-09-26 Yi Gu , Yoshito Otake , Keisuke Uemura , Masaki Takao , Mazen Soufi , Seiji Okada , Nobuhiko Sugano , Hugues Talbot , Yoshinobu Sato

Computed Tomography (CT) is an essential non-destructive three dimensional imaging modality used in medicine, security screening, and inspection of manufactured components. Typical CT data acquisition entails the collection of a thousand or…

医学物理 · 物理学 2024-10-11 Kyle M. Champley , Michael B. Zellner , Joseph W. Tringe , Harry E. Martz
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