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相关论文: A Mass-Conserving 4D XCAT Phantom for Dose Calcula…

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Generative adversarial networks (GANs) have provided promising data enrichment solutions by synthesizing high-fidelity images. However, generating large sets of labeled images with new anatomical variations remains unexplored. We propose a…

图像与视频处理 · 电气工程与系统科学 2020-08-03 Sina Amirrajab , Samaneh Abbasi-Sureshjani , Yasmina Al Khalil , Cristian Lorenz , Juergen Weese , Josien Pluim , Marcel Breeuwer

The Fast Dose Calculator (FDC), a track repeating algorithm Monte Carlo method was initially developed for proton therapy. The validation for proton therapy has been demonstrated in a previous work. This method can be expanded to ion…

医学物理 · 物理学 2018-09-18 Qianxia Wang , Antony Adair , Yu Deng , Hongliang Chen , M Moyers , James Lin , Pablo Yepes

Purpose: Cone-beam CT (CBCT) projection images provide anatomical data in real-time over several respiratory cycles, forming a comprehensive picture of tumor movement. We developed and validated a method which uses these projections to…

医学物理 · 物理学 2015-01-15 Bernard L. Jones , David Westerly , Moyed Miften

Particle therapy is an established method to treat deep-seated tumours using accelerator-produced ion beams. For treatment planning, the precise knowledge of the relative stopping power (RSP) within the patient is vital. Conversion errors…

In CT-based evaluation of the extent of cystic changes in the lungs of patients with cystic lung diseases, such as Lymphangioleiomyomatosis (LAM), there is a lack of a lung phantom containing air-filled cavities that mimic pulmonary cysts…

医学物理 · 物理学 2025-03-26 Shefra Shah , Farah Hussaini , Dumitru Mazilu , Eric E. Bennett , Han Wen

This research considers potential dose increase in target due to cisplatin (Pt) concentration and radiation type. Cisplatin concentrations from 0.003 to 120 mM were used. Monte-Carlo simulation of Linear accelerator (Elekta Synergy) and…

医学物理 · 物理学 2020-08-26 A. A. Baulin

We propose a cascaded 3D diffusion model framework to synthesize high-fidelity 3D PET/CT volumes directly from demographic variables, addressing the growing need for realistic digital twins in oncologic imaging, virtual trials, and…

图像与视频处理 · 电气工程与系统科学 2025-05-29 Siyeop Yoon , Sifan Song , Pengfei Jin , Matthew Tivnan , Yujin Oh , Sekeun Kim , Dufan Wu , Xiang Li , Quanzheng Li

Stereotactic body radiation therapy allows for a precise and accurate dose delivery. Organ motion during treatment bears the risk of undetected high dose healthy tissue exposure. An organ very susceptible to high dose is the oesophagus. Its…

医学物理 · 物理学 2021-06-22 Tobias Fechter , Sonja Adebahr , Anca-Ligia Grosu , Dimos Baltas

Computed tomography (CT) scans are a major source of medical radiation exposure worldwide. In countries like China, the frequency of CT scans has grown rapidly, particularly in routine physical examinations where chest CT scans are…

医学物理 · 物理学 2025-04-10 Zirui Ye , Bei Yao , Haoran Zheng , Li Tao , Ripeng Wang , Yankui Chang , Zhi Chen , Yingming Zhao , Wei Wei , Xie George Xu

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…

计算机视觉与模式识别 · 计算机科学 2019-09-27 Markus D. Foote , Blake E. Zimmerman , Amit Sawant , Sarang Joshi

Motion estimation of organs in a sequence of images is important in numerous medical imaging applications. The focus of this paper is the analysis of 4D Respiratory Correlated Computed Tomography (RCCT) Imaging. It is hypothesized that the…

图像与视频处理 · 电气工程与系统科学 2019-09-27 Markus D. Foote , Pouya Sabouri , Amit Sawant , Sarang C. Joshi

Our aim was to enhance visual quality and quantitative accuracy of dynamic positron emission tomography (PET)uptake images by improved image reconstruction, using sophisticated sparse penalty models that incorporate both 2D spatial+1D…

计算机视觉与模式识别 · 计算机科学 2019-06-17 Ida Häggström , Yizun Lin , Si Li , Andrzej Krol , Yuesheng Xu , C. Ross Schmidtlein

Two full rotating gantry with different nozzles (Multipurpose nozzle with MLC, Scanning Dedicated nozzle) with conventional cyclotron system is installed and under commissioning for various proton treatment options at Samsung Medical Center…

X-ray dark-field imaging is well-suited to visualizing the health of the lungs because the alveoli create a strong dark-field signal. However, time-resolved and tomographic (i.e., 4D) dark-field imaging is challenging, since most x-ray…

In this study, two proton beam delivery designs, passive scattering proton therapy (PSPT) and pencil beam scanning (PBS), were quantitatively compared in terms of dosimetric indices. The GATE Monte Carlo code was used to simulate the proton…

医学物理 · 物理学 2022-09-21 A. Asadi , A. Akhavanallaf , S. A. Hosseini , H. Zaidi

Many lung diseases require detailed visualisation for accurate diagnosis and treatment. High-resolution computed tomography (CT) is the gold-standard technique for non-invasive lung disease detection, but it presents a risk to the patient…

We describe a new implementation of the one-fluid method in the SPH code Phantom to simulate the dynamics of dust grains in gas protoplanetary discs. We revise and extend previously developed algorithms by computing the evolution of a new…

Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-time volumetric images during the treatment delivery of lung stereotactic body radiation therapy (SBRT) for accurate and active motion…

An intercomparison exercise is described that examines Monte Carlo modelling of anthropomorphic voxel phantoms in an idealized ground-contamination photon exposure scenario. Thirteen participants calculated and submitted organ and effective…

A novel dose calculation approach was designed based on the application of LSTM network that processes the 3D patient/phantom geometry as a sequence of 2D computed tomography input slices yielding a corresponding sequence of 2D slices that…

医学物理 · 物理学 2021-06-09 Ahmad Neishabouri , Niklas Wahl , Ulrich Köthe , Mark Bangert