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Video-assisted thoracoscopic surgery (VATS) is a minimally invasive surgical technique for the diagnosis and treatment of early-stage lung cancer. During VATS, large lung deformation occurs as a result of a change of patient position and a…

Introduction: Intra-organ radiation dose sensitivity is becoming increasingly relevant in clinical radiotherapy. One method for assessment involves partitioning delineated regions of interest and comparing the relative contributions or…

Quantitative Methods · Quantitative Biology 2017-05-08 Haley D. Clark , Stefan A. Reinsberg , Vitali Moiseenko , Jonn Wu , Steven D. Thomas

Cardiovascular waveforms contain information for clinical diagnosis. By "learning" and organizing the subtle change of waveform morphology from large amounts of raw waveform data, unsupervised manifold learning helps delineate a…

Quantitative Methods · Quantitative Biology 2019-12-03 Shen-Chih Wang , Hau-Tieng Wu , Po-Hsun Huang , Cheng-Hsi Chang , Chien-Kun Ting , Yu-Ting Lin

This work demonstrates an application of near field indirect microwave holography for the detection of malignant tissues in the human breast in an effective way. The holograms are recorded by two directive antennas aligned along each…

Organ shape reconstruction based on a single-projection image during treatment has wide clinical scope, e.g., in image-guided radiotherapy and surgical guidance. We propose an image-to-graph convolutional network that achieves deformable…

Image and Video Processing · Electrical Eng. & Systems 2022-08-01 Megumi Nakao , Mitsuhiro Nakamura , Tetsuya Matsuda

The clinical management of breast cancer depends on an accurate understanding of the tumor and its anatomical context to adjacent tissues and landmark structures. This context may be provided by semantic segmentation methods; however,…

Image and Video Processing · Electrical Eng. & Systems 2023-11-29 Arda Pekis , Vignesh Kannan , Evandros Kaklamanos , Anu Antony , Snehal Patel , Tyler Earnest

We present a neural parametric 3D breast shape model and, based on this model, introduce a low-cost and accessible 3D surface reconstruction pipeline capable of recovering accurate breast geometry from a monocular RGB video. In contrast to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Maximilian Weiherer , Antonia von Riedheim , Vanessa Brébant , Bernhard Egger , Christoph Palm

Accurate molecular subtype classification is essential for personalized breast cancer treatment, yet conventional immunohistochemical analysis relies on invasive biopsies and is prone to sampling bias. Although dynamic contrast-enhanced…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Sen Zeng , Hong Zhou , Zheng Zhu , Yang Liu

Inter-observer variation is a significant problem in clinical target volume(CTV) segmentation in postoperative settings, where there is no gross tumor present. In this scenario, the CTV is not an anatomically established structure, but one…

Breast cancer is the most prevalent cancer type in women, and while its survival rate is generally high the aesthetic outcome is an increasingly important factor when evaluating different treatment alternatives. 3D scanning and…

Computer Vision and Pattern Recognition · Computer Science 2017-06-21 Rene Lacher , Francisco Vasconcelos , David Bishop , Norman Williams , Mohammed Keshtgar , David Hawkes , John Hipwell , Danail Stoyanov

In this paper we present a methodology to adress the problem of brain tissue deformation referred to as "brainshift". This deformation occurs throughout a neurosurgery intervention and strongly alters the accuracy of the neuronavigation…

Medical Physics · Physics 2007-05-23 Marek Bucki , Yohan Payan

In in-utero MRI, motion correction for fetal body and placenta poses a particular challenge due to the presence of local non-rigid transformations of organs caused by bending and stretching. The existing slice-to-volume registration (SVR)…

Objective: To assess the performance of a probabilistic deep learning based algorithm for predicting inter-fraction anatomical changes in head and neck patients. Approach: A probabilistic daily anatomy model for head and neck patients…

Medical Physics · Physics 2024-11-12 Tiberiu Burlacu , Mischa Hoogeman , Danny Lathouwers , Zoltán Perkó

Manual delineation of volumes of interest (VOIs) by experts is considered the gold-standard method in radiomics analysis. However, it suffers from inter- and intra-operator variability. A quantitative assessment of the impact of variations…

Image and Video Processing · Electrical Eng. & Systems 2023-09-06 Sepideh Hatamikia , Geevarghese George , Florian Schwarzhans , Amirreza Mahbod , Ramona Woitek

Human body is a complex dynamic system composed of various sub-dynamic parts. Especially, thoracic and abdominal organs have complex internal shape variations with different frequencies by various reasons such as respiration with fast…

Image and Video Processing · Electrical Eng. & Systems 2021-03-10 Seyoun Park , Elliot K. Fishman , Alan L. Yuille

The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients for radiotherapy applications. A model for simultaneous correspondence and interpolation estimation…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Edward G. A. Henderson , Marcel van Herk , Andrew F. Green , Eliana M. Vasquez Osorio

Deformable registration of two-dimensional/three-dimensional (2D/3D) images of abdominal organs is a complicated task because the abdominal organs deform significantly and their contours are not detected in two-dimensional X-ray images. We…

Image and Video Processing · Electrical Eng. & Systems 2022-12-13 Ryuto Miura , Megumi Nakao , Mitsuhiro Nakamura , Tetsuya Matsuda

In this paper we present a methodology to address the problem of brain tissue deformation referred to as 'brain-shift'. This deformation occurs throughout a neurosurgery intervention and strongly alters the accuracy of the neuronavigation…

Medical Physics · Physics 2007-09-06 Marek Bucki , Claudio Lobos , Yohan Payan

Understanding intertrochanteric fracture distribution is an important topic in orthopaedics due to its high morbidity and mortality. The intertrochanteric fracture can contain high-dimensional information including complicated 3D fracture…

Quantitative Methods · Quantitative Biology 2018-10-16 Yucheng Fu , Rong Liu , Yang Liu , Jiawei Lu

Radiotherapy is an integral part of treatment for many patients with breast cancer. However, side effects can occur, Example fibrosis or erythema. If patients at higher risks of radiation induced side effects could be identified before…

Medical Physics · Physics 2024-09-04 Deborah E. M. Akuoko , Eliana Vasquez Osorio , Marcel Van Herk , Marianne Aznar
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