AIMC Topic: Four-Dimensional Computed Tomography

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Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning.

Physics in medicine and biology Aug 23, 2021
To develop and evaluate the performance of a deep learning model to generate synthetic pulmonary perfusion images from clinical 4DCT images for patients undergoing radiotherapy for lung cancer.. A clinical data set of 58 pre- and post-radiotherapyTc-...
Humans Lung Neoplasms Perfusion Four-Dimensional Computed Tomography Lung Deep Learning
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A geometry-guided deep learning technique for CBCT reconstruction.

Physics in medicine and biology Jul 30, 2021
Although deep learning (DL) technique has been successfully used for computed tomography (CT) reconstruction, its implementation on cone-beam CT (CBCT) reconstruction is extremely challenging due to memory limitations. In this study, a novel DL techn...
Four-Dimensional Computed Tomography Spiral Cone-Beam Computed Tomography Image Processing, Computer-Assisted Phantoms, Imaging Deep Learning Cone-Beam Computed Tomography Algorithms
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Clinical practice vs. state-of-the-art research and future visions: Report on the 4D treatment planning workshop for particle therapy - Edition 2018 and 2019.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 13, 2021
The 4D Treatment Planning Workshop for Particle Therapy, a workshop dedicated to the treatment of moving targets with scanned particle beams, started in 2009 and since then has been organized annually. The mission of the workshop is to create an info...
Humans Artificial Intelligence Radiotherapy Planning, Computer-Assisted Four-Dimensional Computed Tomography Poland Japan
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GroupRegNet: a groupwise one-shot deep learning-based 4D image registration method.

Physics in medicine and biology Feb 12, 2021
Accurate deformable four-dimensional (4D) (three-dimensional in space and time) medical images registration is essential in a variety of medical applications. Deep learning-based methods have recently gained popularity in this area for the significan...
Humans Movement Image Processing, Computer-Assisted Deep Learning Imaging, Three-Dimensional Four-Dimensional Computed Tomography Respiration
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Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study.

Physics in medicine and biology Dec 18, 2020
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 management. In t...
Movement Four-Dimensional Computed Tomography Deep Learning Lung Neoplasms Proof of Concept Study Radiosurgery Respiration Humans Computer Simulation
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Simulated four-dimensional CT for markerless tumor tracking using a deep learning network with multi-task learning.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Nov 11, 2020
INTRODUCTION: Our markerless tumor tracking algorithm requires 4DCT data to train models. 4DCT cannot be used for markerless tracking for respiratory-gated treatment due to inaccuracies and a high radiation dose. We developed a deep neural network (D...
Lung Neoplasms Four-Dimensional Computed Tomography Humans Neural Networks, Computer Neoplasms Algorithms Deep Learning
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Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction.

Medical physics Oct 15, 2020
PURPOSE: Four-dimensional cone-beam computed tomography (4D CBCT) imaging has been suggested as a solution to account for interfraction motion variability of moving targets like lung and liver during radiotherapy (RT) of moving targets. However, due ...
Algorithms Deep Learning Humans Phantoms, Imaging Cone-Beam Computed Tomography Four-Dimensional Computed Tomography Image Processing, Computer-Assisted
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4D-AirNet: a temporally-resolved CBCT slice reconstruction method synergizing analytical and iterative method with deep learning.

Physics in medicine and biology Sep 11, 2020
Four-dimensional (4D) cone-beam CT (CBCT) reconstructs temporally-resolved phases of 3D volumes often with the same amount of projection data that are meant for reconstructing a single 3D volume. 4D CBCT is a sparse-data problem that is very challeng...
Phantoms, Imaging Humans Four-Dimensional Computed Tomography Lung Deep Learning Cone-Beam Computed Tomography Time Factors Image Processing, Computer-Assisted
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AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT.

Medical physics Apr 30, 2020
PURPOSE: Sparse-data computed tomography (CT) frequently occurs, such as breast tomosynthesis, C-arm CT, on-board four-dimensional cone-beam CT (4D CBCT), and industrial CT. However, sparse-data image reconstruction remains challenging due to highly ...
Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Phantoms, Imaging Photons Four-Dimensional Computed Tomography
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4D-CT deformable image registration using multiscale unsupervised deep learning.

Physics in medicine and biology Apr 20, 2020
Deformable image registration (DIR) of 4D-CT images is important in multiple radiation therapy applications including motion tracking of soft tissue or fiducial markers, target definition, image fusion, dose accumulation and treatment response evalua...
Four-Dimensional Computed Tomography Neoplasms Deep Learning Algorithms Radiotherapy Planning, Computer-Assisted Humans Image Processing, Computer-Assisted Retrospective Studies Radiography, Abdominal Neural Networks, Computer
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