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Accurate patient positioning is critical for precise radiotherapy dose delivery, as positioning errors can significantly affect treatment outcomes. This study introduces a novel method for tracking loco-regional tissue deformation through…

In radiotherapy, the internal movement of organs between treatment sessions causes errors in the final radiation dose delivery. Motion models can be used to simulate motion patterns and assess anatomical robustness before delivery.…

One of the most frequent modalities of breast cancer treatment is surgery. Breast surgery can cause visual alterations to the breasts, due to scars and asymmetries. To enable an informed choice of treatment, the patient must be adequately…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Helena Montenegro , Maria J. Cardoso , Jaime S. Cardoso

In breast surgical practice, drawing is part of the preoperative planning procedure and is essential for a successful operation. In this study, we design a pipeline to assist surgeons with patient-specific breast surgical drawings. We use a…

Computational Engineering, Finance, and Science · Computer Science 2022-06-01 Arnaud Mazier , Sophie Ribes , Benjamin Gilles , Stéphane P. A Bordas , .

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

Deformable registration of magnetic resonance images between patients with brain tumors and healthy subjects has been an important tool to specify tumor geometry through location alignment and facilitate pathological analysis. Since tumor…

Image and Video Processing · Electrical Eng. & Systems 2021-01-19 Xiaofeng Liu , Fangxu Xing , Chao Yang , C. -C. Jay Kuo , Georges ElFakhri , Jonghye Woo

Accounting for 26% of all new cancer cases worldwide, breast cancer remains the most common form of cancer in women. Although early breast cancer has a favourable long-term prognosis, roughly a third of patients suffer from a suboptimal…

Computer Vision and Pattern Recognition · Computer Science 2019-01-17 Rene Lacher , Francisco Vasconcelos , Norman Williams , Gerrit Rindermann , John Hipwell , David Hawkes , Danail Stoyanov

Soft-tissue deformation remains a major limitation in image-guided neurosurgery, where intra-operative anatomy can deviate substantially from pre-operative imaging due to brain shift, compromising navigation accuracy and surgical safety.…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Eashrat Jahan Muniya , Gernot Kronreif , Ander Biguri , Wolfgang Birkfellner , Sepideh Hatamikia

Tissue deformation in ultrasound (US) imaging leads to geometrical errors when measuring tissues due to the pressure exerted by probes. Such deformation has an even larger effect on 3D US volumes as the correct compounding is limited by the…

Image and Video Processing · Electrical Eng. & Systems 2021-10-26 Zhongliang Jiang , Yue Zhou , Yuan Bi , Mingchuan Zhou , Thomas Wendler , Nassir Navab

Modeling of respiratory motion is important for a more accurate understanding and accounting of its effect on dose to cancers in the thorax and abdomen by radiotherapy. We have developed a model of respiration-induced organ motion in the…

Clinicians compare breast DCE-MRI after neoadjuvant chemotherapy (NAC) with pre-treatment scans to evaluate the response to NAC. Clinical evidence supports that accurate longitudinal deformable registration without deforming treated tumor…

Image and Video Processing · Electrical Eng. & Systems 2024-01-18 Luyi Han , Tao Tan , Tianyu Zhang , Yuan Gao , Xin Wang , Valentina Longo , Sofía Ventura-Díaz , Anna D'Angelo , Jonas Teuwen , Ritse Mann

Intraoperative observation of tissue internal structure is often difficult. Hence, real-time soft tissue deformation is essential for the localization of tumor and other internal structures. We propose a method to simulate the internal…

Computational Geometry · Computer Science 2019-07-26 Haoyin Zhou , Eva Gombos , Mehra Golshan , Jayender Jagadeesan

Contours are used in radiotherapy treatment planning to identify regions to be irradiated with high dose and regions to be spared. Therefore, any contouring uncertainty influences the whole treatment. Even though this is the biggest…

Medical Physics · Physics 2022-04-22 Eliana Vásquez Osorio , Jane Shortall , Jennifer Robbins , Marcel van Herk

Respiratory motion and the associated deformations of abdominal organs and tumors are essential information in clinical applications. However, inter- and intra-patient multi-organ deformations are complex and have not been statistically…

Computer Vision and Pattern Recognition · Computer Science 2020-11-04 Megumi Nakao , Mitsuhiro Nakamura , Takashi Mizowaki , Tetsuya Matsuda

Precise patient positioning and thus precise positioning of the planning target volume (PTV) is a prerequisite for effective treatment in percutaneous radiation therapy. Conventional imaging modalities used to ensure exact positioning for…

Medical Physics · Physics 2016-02-12 Manfred Wiencierz , Kathrin Kruppa , Lutz Lüdemann

Deformable registration of spatiotemporal Cone-Beam Computed Tomography (CBCT) images taken sequentially during the radiation treatment course yields a deformation field for a pair of images. The Jacobian of this field at any voxel provides…

We explored the fractal and multifractal characteristics of breast mammogram micrographs to identify quantitative biomarkers associated with breast cancer progression. In addition to conventional fractal and multifractal analyses, we…

Medical Physics · Physics 2025-05-28 Santanu Maity , Mousa Alrubayan , Prabhakar Pradhan

Radiation therapy presents a need for dynamic tracking of a target tumor volume. Fiducial markers such as implanted gold seeds have been used to gate radiation delivery but the markers are invasive and gating significantly increases…

Computer Vision and Pattern Recognition · Computer Science 2019-09-27 Markus D. Foote , Blake E. Zimmerman , Amit Sawant , Sarang Joshi

Regular mammography screening is crucial for early breast cancer detection. By leveraging deep learning-based risk models, screening intervals can be personalized, especially for high-risk individuals. While recent methods increasingly…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Solveig Thrun , Stine Hansen , Zijun Sun , Nele Blum , Suaiba A. Salahuddin , Xin Wang , Kristoffer Wickstrøm , Elisabeth Wetzer , Robert Jenssen , Maik Stille , Michael Kampffmeyer

Accurately registering breast MR images from different time points enables the alignment of anatomical structures and tracking of tumor progression, supporting more effective breast cancer detection, diagnosis, and treatment planning.…

Image and Video Processing · Electrical Eng. & Systems 2026-01-01 Yaqian Chen , Hanxue Gu , Haoyu Dong , Qihang Li , Yuwen Chen , Nicholas Konz , Lin Li , Maciej A. Mazurowski
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