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相关论文: Experimental validation of Fastcat kV and MV cone …

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The fastCAT application uses pre-calculated Monte Carlo (MC) CBCT phantom-specific scatter and detector response functions to reduce simulation time for megavoltage (MV) and kilovoltage (kV) CBCT imaging. Pre-calculated x-ray beam energy…

医学物理 · 物理学 2021-09-15 Jericho O'Connell , Magdalena Bazalova-Carter

The concept of using kilovoltage (kV) and megavoltage (MV) beams concurrently has potential applications in cone beam computed tomography (CBCT) guided radiation therapy, such as single breath hold scans, metal artifact reduction, and…

医学物理 · 物理学 2022-08-24 Farhang Bayat , Mohamed Elsayed Eldib , Brian Kavanagh , Moyed Miften , Cem Altunbas

Recently, X-ray imaging dose from computed tomography (CT) or cone beam CT (CBCT) scans has become a serious concern. Patient-specific imaging dose calculation has been proposed for the purpose of dose management. While Monte Carlo (MC)…

医学物理 · 物理学 2015-05-30 Xun Jia , Hao Yan , Xuejun Gu , Steve B. Jiang

Objective: To propose a CBCT dose optimization method using readily available measurement equipment in radiation oncology departments. Approach: A 0.6cc air kerma (Kair) calibrated Farmer chamber measured Kair at isocenter for five default…

医学物理 · 物理学 2025-02-04 S. Gros , J. Bian , J. Jackson , M. Delafuente , H. Kang , W. Small , M. Mahesh

Purpose: Fast kV-switching (FKS) and dual-layer flat-panel detector (DL-FPD) technologies have been actively studied as promising dual-energy solutions for FPD-based cone-beam computed tomography (CBCT). However, CBCT spectral imaging is…

医学物理 · 物理学 2024-01-03 Hao Zhou , Li Zhang , Zhilei Wang , Hewei Gao

Cone-beam CT (CBCT) has been widely used in image guided radiation therapy (IGRT) to acquire updated volumetric anatomical information before treatment fractions for accurate patient alignment purpose. However, the excessive x-ray imaging…

医学物理 · 物理学 2010-04-13 Xun Jia , Yifei Lou , John Lewis , Ruijiang Li , Xuejun Gu , Chunhua Men , William Y. Song , Steve B. Jiang

Cone beam CT (CBCT) has been widely used for patient setup in image guided radiation therapy (IGRT). Radiation dose from CBCT scans has become a clinical concern. The purposes of this study are 1) to commission a GPU-based Monte Carlo (MC)…

Cone beam computed tomography (CBCT) for breast imaging has potential to replace conventional mammograms. However, concerns over dose and image quality prevent CBBCT systems from the clinical trial phase to next stage. The time of flight…

医学物理 · 物理学 2021-02-01 Ignacio O. Romero , Changqing Li

The present work is devoted to develop a computational model using the Gate Monte Carlo software for the simulation of a 6MV photon beam given by Elekta Synergy Platform medical linear accelerator treatment head. The model includes the…

医学物理 · 物理学 2013-09-04 Yahya Tayalati , Samir Didi , Mustafa Zerfaoui , Abdellilah Moussaa

Cone-beam computed tomography (CBCT) offers advantages over conventional fan-beam CT in that it requires a shorter time and less exposure to obtain images. CBCT has found a wide variety of applications in patient positioning for…

计算机视觉与模式识别 · 计算机科学 2020-07-01 S. Kida , S. Kaji , K. Nawa , T. Imae , T. Nakamoto , S. Ozaki , T. Ohta , Y. Nozawa , K. Nakagawa

Purpose: To characterize image quality, imaging dose, and dose calculation accuracy for an upright CT scanner with a six-degree-of-freedom patient positioning system. Methods: Imaging dose (CTDIvol) was measured at 120 kVp and 200 mAs.…

In radiotherapy, 2D orthogonally projected kV images are used for patient alignment when 3D-on-board imaging(OBI) unavailable. But tumor visibility is constrained due to the projection of patient's anatomy onto a 2D plane, potentially…

Cone-beam CT (CBCT) is installed in the treatment room to facilitate online clinical applications, including image guidance in radiation and surgery. Half-fan and short-can are the commonly used modes in clinical applications to expand the…

医学物理 · 物理学 2022-05-24 Junbo Peng

The purpose of this work is to provide a fast and accurate scatter artifacts correction algorithm for cone beam CT (CBCT) imaging. The method starts with an estimation of coarse scatter profiles for a set of CBCT data in either image domain…

医学物理 · 物理学 2016-04-27 Wei Zhao , Don Vernekohl , Jun Zhu , Luyao Wang , Lei Xing

Poor tissue visualization and quantitative accuracy in CBCT is a major barrier in expanding the role of CBCT imaging from target localization to quantitative treatment monitoring and plan adaptations in radiation therapy sessions. To…

医学物理 · 物理学 2023-08-21 Farhang Bayat , Dan Ruan , Moyed Miften , Cem Altunbas

Research studies of artificial intelligence models in medical imaging have been hampered by poor generalization. This problem has been especially concerning over the last year with numerous applications of deep learning for COVID-19…

图像与视频处理 · 电气工程与系统科学 2022-03-08 Fakrul Islam Tushar , Ehsan Abadi , Saman Sotoudeh-Paima , Rafael B. Fricks , Maciej A. Mazurowski , W. Paul Segars , Ehsan Samei , Joseph Y. Lo

Monte Carlo simulations are increasingly used in scintigraphic imaging to model imaging systems and to develop and assess tomographic reconstruction algorithms and correction methods for improved image quantitation. GATE (GEANT 4…

Cone-beam computed tomography (CBCT) images are problematic in clinical medicine because of their low contrast and high artifact content compared with conventional CT images. Although there are some studies to improve image quality, in…

图像与视频处理 · 电气工程与系统科学 2026-03-30 Naruki Murahashi , Mitsuhiro Nakamura , Megumi Nakao

Most virtual source models (VSM) use beam modeling, with the exception of the patient-dependent secondary collimator (jaw). Unlike other components of the treatment head, the jaw absorbs many photons generated by the bremsstrahlung, which…

Purpose: Cone-beam CT (CBCT) plays an important role in image guided radiation therapy (IGRT). However, the large radiation dose from serial CBCT scans in most IGRT procedures raises a clinical concern, especially for pediatric patients who…

医学物理 · 物理学 2015-05-18 Xun Jia , Yifei Lou , Ruijiang Li , William Y. Song , Steve B. Jiang
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