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Shang D, Duan J, Yin Y, Wang R. Impact of different respiratory gating methods on target delineation and a radiotherapy plan for solitary pulmonary tumors. Cancer Med 2024; 13:e7322. [PMID: 38785309 PMCID: PMC11117447 DOI: 10.1002/cam4.7322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 04/07/2024] [Accepted: 05/12/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND AND PURPOSE Respiratory movement has an important impact on the radiotherapy for lung tumor. Respiratory gating technology is helpful to improve the accuracy of target delineation. This study investigated the value of prospective and retrospective respiratory gating simulations in target delineation and radiotherapy plan design for solitary pulmonary tumors (SPTs) in radiotherapy. METHODS The enrolled patients underwent CT simulation with three-dimensional (3D) CT non gating, prospective respiratory gating, and retrospective respiratory gating simulation. The target volumes were delineated on three sets of CT images, and radiotherapy plans were prepared accordingly. Tumor displacements and movement information obtained using the two respiratory gating approaches, as well as the target volumes and dosimetry parameters in the radiotherapy plan were compared. RESULTS No significant difference was observed in tumor displacement measured using the two gating methods (p > 0.05). However, the internal gross tumor volumes (IGTVs), internal target volumes (ITVs), and planning target volumes (PTVs) based on the retrospective respiratory gating simulation were larger than those obtained using prospective gating (group A: pIGTV = 0.041, pITV = 0.003, pPTV = 0.008; group B: pIGTV = 0.025, pITV = 0.039, pPTV = 0.004). The two-gating PTVs were both smaller than those delineated on 3D non gating images (p < 0.001). V5Gy, V10Gy, V20Gy, V30Gy, and mean lung dose in the two gated radiotherapy plans were lower than those in the 3D non gating plan (p < 0.001); however, no significant difference was observed between the two gating plans (p > 0.05). CONCLUSIONS The application of respiratory gating could reduce the target volume and the radiation dose that the normal lung tissue received. Compared to prospective respiratory gating, the retrospective gating provides more information about tumor movement in PTV.
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Affiliation(s)
- Dongping Shang
- Department of Radiation OncologyShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Jinghao Duan
- Department of Radiation OncologyShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Yong Yin
- Department of Radiation OncologyShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Ruozheng Wang
- Department of Radiation OncologyAffiliated Tumor Hospital of Xinjiang Medical UniversityUrumqiChina
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Wu Y, Wang Z, Chu Y, Peng R, Peng H, Yang H, Guo K, Zhang J. Current Research Status of Respiratory Motion for Thorax and Abdominal Treatment: A Systematic Review. Biomimetics (Basel) 2024; 9:170. [PMID: 38534855 DOI: 10.3390/biomimetics9030170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/29/2024] [Accepted: 03/09/2024] [Indexed: 03/28/2024] Open
Abstract
Malignant tumors have become one of the serious public health problems in human safety and health, among which the chest and abdomen diseases account for the largest proportion. Early diagnosis and treatment can effectively improve the survival rate of patients. However, respiratory motion in the chest and abdomen can lead to uncertainty in the shape, volume, and location of the tumor, making treatment of the chest and abdomen difficult. Therefore, compensation for respiratory motion is very important in clinical treatment. The purpose of this review was to discuss the research and development of respiratory movement monitoring and prediction in thoracic and abdominal surgery, as well as introduce the current research status. The integration of modern respiratory motion compensation technology with advanced sensor detection technology, medical-image-guided therapy, and artificial intelligence technology is discussed and analyzed. The future research direction of intraoperative thoracic and abdominal respiratory motion compensation should be non-invasive, non-contact, use a low dose, and involve intelligent development. The complexity of the surgical environment, the constraints on the accuracy of existing image guidance devices, and the latency of data transmission are all present technical challenges.
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Affiliation(s)
- Yuwen Wu
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
| | - Zhisen Wang
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Yuyi Chu
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
| | - Renyuan Peng
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Haoran Peng
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Hongbo Yang
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Kai Guo
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Juzhong Zhang
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
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Buzzatti L, Keelson B, van der Voort JW, Segato L, Scheerlinck T, Héréus S, Van Gompel G, Vandemeulebroucke J, De Mey J, Buls N, Cattrysse E, Serrien B. Dynamic CT scanning of the knee: Combining weight bearing with real-time motion acquisition. Knee 2023; 44:130-141. [PMID: 37597475 DOI: 10.1016/j.knee.2023.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 06/14/2023] [Accepted: 07/24/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND Imaging the lower limb during weight-bearing conditions is essential to acquire advanced functional joint information. The horizontal bed position of CT systems however hinders this process. The purpose of this study was to validate and test a device to simulate realistic knee weight-bearing motion in a horizontal position during dynamic CT acquisition and process the acquired images. METHODS "Orthostatic squats" was compared to "Horizontal squats" on a device with loads between 35% and 55% of the body weight (%BW) in 20 healthy volunteers. Intraclass Correlation Coefficient (ICC), and standard error of measurement (SEM), were computed as measures of the reliability of curve kinematic and surface EMG (sEMG) data. Afterwards, the device was tested during dynamic CT acquisitions on three healthy volunteers and three patients with patellofemoral pain syndrome. The respective images were processed to extract Tibial-Tuberosity Trochlear-Groove distance, Bisect Offset and Lateral Patellar Tilt metrics. RESULTS For sEMG, the highest average ICCs (SEM) of 0.80 (6.9), was found for the load corresponding to 42%BW. Kinematic analysis showed ICCs were the highest for loads of 42%BW during the eccentric phase (0.79-0.87) and from maximum flexion back to 20° (0.76). The device proved to be safe and reliable during the acquisition of dynamic CT images and the three metrics were computed, showing preliminary differences between healthy and pathological participants. CONCLUSIONS This device could simulate orthostatic squats in a horizontal position with good reliability. It also successfully provided dynamic CT scan images and kinematic parameters of healthy and pathological knees during weight-bearing movement.
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Affiliation(s)
- Luca Buzzatti
- Vrije Universiteit Brussel (VUB), Experimental Anatomy Research Group (EXAN), Laarbeeklaan 103, 1090 Brussels, Belgium; School of Allied Health, Anglia Ruskin University (ARU), Young Street, CB1 1PT Cambridge, UK.
| | - Benyameen Keelson
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Department of Radiology, Laarbeeklaan 101, 1090 Brussels, Belgium; Vrije Universiteit Brussel (VUB), Department of Electronics and Informatics (ETRO), Pleinlaan 2, 1050 Brussel, Belgium; imec, Kapeldreef 75, 3001 Leuven, Belgium
| | - Joris Willem van der Voort
- Vrije Universiteit Brussel (VUB), Experimental Anatomy Research Group (EXAN), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Lorenzo Segato
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Campus of Savona, Italy
| | - Thierry Scheerlinck
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Department of Orthopaedic Surgery and Traumatology, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Savanah Héréus
- Vrije Universiteit Brussel (VUB), Experimental Anatomy Research Group (EXAN), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Gert Van Gompel
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Department of Radiology, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Jef Vandemeulebroucke
- Vrije Universiteit Brussel (VUB), Department of Electronics and Informatics (ETRO), Pleinlaan 2, 1050 Brussel, Belgium; imec, Kapeldreef 75, 3001 Leuven, Belgium
| | - Johan De Mey
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Department of Radiology, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Nico Buls
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Department of Radiology, Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Erik Cattrysse
- Vrije Universiteit Brussel (VUB), Experimental Anatomy Research Group (EXAN), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Ben Serrien
- Vrije Universiteit Brussel (VUB), Experimental Anatomy Research Group (EXAN), Laarbeeklaan 103, 1090 Brussels, Belgium
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Ali AM, Greenwood JB, Walls GM, Belshaw L, Agnew CE, McAleese J, Whitten G, Irvine DM, Hounsell AR, McGarry CK. Evaluation of tumour motion and internal/external correlation in lung SABR. Br J Radiol 2023; 96:20220461. [PMID: 37393541 PMCID: PMC10461274 DOI: 10.1259/bjr.20220461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 01/05/2023] [Accepted: 05/30/2023] [Indexed: 07/03/2023] Open
Abstract
OBJECTIVE This study aims to analyse lung tumour motion and to investigate the correlation between the internal tumour motion acquired from four-dimensional computed tomography (4DCT) and the motion of an external surrogate. METHODS A data set of 363 4DCT images was analysed. Tumours were classified based on their anatomical lobes. The recorded gross tumour volume (GTV) information included the centroid GTV motion in the superior-inferior, anteroposterior and left-right directions, and in three-dimensions (3D). For the internal/external correlation, the RPM surrogate breathing signals of 260 patients were analysed via an in-house script. The external motion was correlated with the 3D centroid motion, and the maximum tumour motion via Spearman's correlation. The effect of tumour volume on the amount of motion was evaluated. RESULTS The greatest 3D tumour amplitude was found for tumours located in the lower part of the lung, with a maximum of 26.7 mm. The Spearman's correlation of the internal 3D motion was weak in the upper (r = 0.21) and moderate in the middle (r = 0.51) and the lower (r = 0.52) lobes. There was no obvious difference in the correlation coefficients between the maximum tumour displacement and the centroid motion. No correlation was found between the tumour volume and the magnitude of motion. CONCLUSION Our results suggest that tumour location can be a good predictor of its motion. However, tumour size is a poor predictor of the motion. ADVANCES IN KNOWLEDGE This knowledge of the distribution of tumour motion throughout the thoracic regions will be valuable to research groups investigating the refinement of motion management strategies.
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Affiliation(s)
| | - Jason B Greenwood
- School of Mathematics and Physics, Queen’s University Belfast, Belfast, Northern Ireland
| | | | - Louise Belshaw
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland
| | - Christina E Agnew
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland
| | | | - Glenn Whitten
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland
| | - Denise M Irvine
- Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland
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Rich BJ, Spieler BO, Yang Y, Young L, Amestoy W, Monterroso M, Wang L, Dal Pra A, Yang F. Erring Characteristics of Deformable Image Registration-Based Auto-Propagation for Internal Target Volume in Radiotherapy of Locally Advanced Non-Small Cell Lung Cancer. Front Oncol 2022; 12:929727. [PMID: 35936742 PMCID: PMC9353179 DOI: 10.3389/fonc.2022.929727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeRespiratory motion of locally advanced non-small cell lung cancer (LA-NSCLC) adds to the challenge of targeting the disease with radiotherapy (RT). One technique used frequently to alleviate this challenge is an internal gross tumor volume (IGTV) generated from manual contours on a single respiratory phase of the 4DCT via the aid of deformable image registration (DIR)-based auto-propagation. Through assessing the accuracy of DIR-based auto-propagation for generating IGTVs, this study aimed to identify erring characteristics associated with the process to enhance RT targeting in LA-NSCLC.Methods4DCTs of 19 patients with LA-NSCLC were acquired using retrospective gating with 10 respiratory phases (RPs). Ground-truth IGTVs (GT-IGTVs) were obtained through manual segmentation and union of gross tumor volumes (GTVs) in all 10 phases. IGTV auto-propagation was carried out using two distinct DIR algorithms for the manually contoured GTV from each of the 10 phases, resulting in 10 separate IGTVs for each patient per each algorithm. Differences between the auto-propagated IGTVs (AP-IGTVs) and their corresponding GT-IGTVs were assessed using Dice coefficient (DICE), maximum symmetric surface distance (MSSD), average symmetric surface distance (ASSD), and percent volume difference (PVD) and further examined in relation to anatomical tumor location, RP, and deformation index (DI) that measures the degree of deformation during auto-propagation. Furthermore, dosimetric implications due to the analyzed differences between the AP-IGTVs and GT-IGTVs were assessed.ResultsFindings were largely consistent between the two algorithms: DICE, MSSD, ASSD, and PVD showed no significant differences between the 10 RPs used for propagation (Kruskal–Wallis test, ps > 0.90); MSSD and ASSD differed significantly by tumor location in the central–peripheral and superior–inferior dimensions (ps < 0.0001) while only in the central–peripheral dimension for PVD (p < 0.001); DICE, MSSD, and ASSD significantly correlated with the DI (Spearman’s rank correlation test, ps < 0.0001). Dosimetric assessment demonstrated that 79% of the radiotherapy plans created by targeting planning target volumes (PTVs) derived from the AP-IGTVs failed prescription constraints for their corresponding ground-truth PTVs.ConclusionIn LA-NSCLC, errors in DIR-based IGTV propagation present to varying degrees and manifest dependences on DI and anatomical tumor location, indicating the need for personalized consideration in designing RT internal target volume.
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Affiliation(s)
- Benjamin J. Rich
- Department of Radiation Oncology, University of Miami, Miami, FL, United States
| | - Benjamin O. Spieler
- Department of Radiation Oncology, University of Miami, Miami, FL, United States
| | - Yidong Yang
- Department of Radiation Oncology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China
| | - Lori Young
- Department of Radiation Oncology, University of Washington, Seattle, WA, United States
| | - William Amestoy
- Department of Radiation Oncology, University of Miami, Miami, FL, United States
| | - Maria Monterroso
- Department of Radiation Oncology, University of Miami, Miami, FL, United States
| | - Lora Wang
- Department of Radiation Oncology, University of Miami, Miami, FL, United States
| | - Alan Dal Pra
- Department of Radiation Oncology, University of Miami, Miami, FL, United States
| | - Fei Yang
- Department of Radiation Oncology, University of Miami, Miami, FL, United States
- *Correspondence: Fei Yang,
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Li F, Qu Y, Zhang T, Cui Z, Sun X, Zhang T, Li J. Evaluation of lung tumor motion in a large sample: Target-related and clinical factors influencing tumor motion based on four-dimensional CT. Cancer Med 2021; 10:7126-7135. [PMID: 34519169 PMCID: PMC8525155 DOI: 10.1002/cam4.4255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/05/2021] [Accepted: 08/18/2021] [Indexed: 12/25/2022] Open
Abstract
Background and purpose We aimed to analyze the influence of target‐related and clinical factors on lung tumor motion based on four‐dimensional CT (4DCT), and clarify the motion based on subgroups in lung stereotactic body radiation therapy. Materials and methods 4DCT image data of 267 tumors from 246 patients were analyzed. The coordinates in the left–right (LR), anterior–posterior (AP), and cranial–caudal (CC) directions of the center of mass (COM) of the gross tumor volumes in 10 phases of 4DCT were measured. The peak‐to‐peak COM displacement in the LR, AP, CC, and 3D directions was calculated. The influence of target‐related and clinical factors on tumor motion was evaluated using multivariate analysis. Results The tumor segment location correlated with the tumor motion in each direction. Tumor size was predictive of tumor motion in the 3D (p = 0.023) and AP directions (p = 0.049). The tumor motion for metastatic tumors was smaller than that for primary tumors in the LR (p = 0.019) and AP directions (p = 0.008). The CC motion for pulmonary surgery recipients (3.8 ± 4.5 mm) was less than that for patients who had not undergone surgery (5.6 ± 5.4 mm), and no significant clinical factor was observed. BSA and BMI were positively correlated with the motion in the CC (p = 0.02) and LR directions (p = 0.002). Conclusion The tumor segment location was a good predictor of tumor motion. A larger tumor tends to have a smaller motion. Patients with metastatic tumors or those who have undergone pulmonary surgery exhibited smaller and more unpredictable tumor motions, which required individual assessments. Thus, clinical factors can potentially predict tumor motion.
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Affiliation(s)
- Fengxiang Li
- Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yanlin Qu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Tingting Zhang
- Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhen Cui
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Xin Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jianbin Li
- Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
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Li M, Castillo SJ, Castillo R, Castillo E, Guerrero T, Xiao L, Zheng X. Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model. Int J Comput Assist Radiol Surg 2017; 12:1521-1532. [PMID: 28197760 DOI: 10.1007/s11548-017-1538-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 02/01/2017] [Indexed: 11/28/2022]
Abstract
PURPOSE Four-dimensional computed tomography (4DCT) images are often marred by artifacts that substantially degrade image quality and confound image interpretation. Human observation remains the standard method of 4DCT artifact evaluation, which is time-consuming and subjective. We develop a method to automatically identify and reduce artifacts in cine 4DCT images. METHODS We proposed an algorithm that consisted of two main stages: deformable image registration and respiratory motion simulation. Specifically, each 4DCT phase image was registered to the breath-holding CT image using the block-matching method, with erroneous spatial matches removed by the least median of squares filter and the full displacement vector field generated by the moving least squares interpolation. The lung's respiratory motion trajectory was then recovered from the displacement vector field using the parameterized polynomial function, with fitting parameters estimated by combinatorial optimization. In this way, artifacts were located according to deviations between image points and their motion trajectories and further corrected based on position prediction. RESULTS The mean spatial error (standard deviation) was 1.00 (0.85) mm after registration as opposed to 6.96 (4.61) mm before registration. In addition, we took human observation conducted by medical experts as the gold standard. The average sensitivity, specificity, and accuracy of the proposed method in artifact identification were 0.97, 0.84, and 0.89, respectively. CONCLUSIONS The proposed method identified and reduced artifacts accurately and automatically, providing an alternative way to analyze 4DCT image quality and to correct problematic images for radiation therapy.
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Affiliation(s)
- Min Li
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. .,Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - Sarah Joy Castillo
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.,Department of Radiation Oncology, The University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Richard Castillo
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.,Department of Radiation Oncology, The University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Edward Castillo
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.,Department of Radiation Oncology, Beaumont Health System, Royal Oak, Mi, 48073, USA.,Department of Computational and Applied Mathematics, Rice University, Houston, TX, 77005, USA
| | - Thomas Guerrero
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.,Department of Radiation Oncology, Beaumont Health System, Royal Oak, Mi, 48073, USA
| | - Liang Xiao
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
| | - Xiaolin Zheng
- Bioengineering College, Chongqing University, Chongqing, 400030, China
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8
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Odenbach R, Boese A, Friebe M. Interactive monitoring system for visual respiratory biofeedback. CURRENT DIRECTIONS IN BIOMEDICAL ENGINEERING 2016. [DOI: 10.1515/cdbme-2016-0157] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
In almost any medical procedure respiratory motion is an issue and may result in image degradation. Most currently available devices and systems, which are intended to reduce respiratory influences do not come into operation however in clinics due to their high cost and complex operation. In our paper we evaluated an interactive breath hold control system that helps flat breathing to subsequently reduce respiratory motion during signal acquisitions or procedure treatments. With that the human subjects are enabled to regulate their own breath by following visual feedback via a specially designed display. That display shows biofeedback information about the respiratory excursion through air pressure deviations measured inside an air bellows belt. The system was assessed quantitatively in a laboratory setup and qualitatively by applications in real clinical procedures. The obtained results are very promising and can be further improved with additional developments to provide an easy to use and relatively inexpensive solution for respiratory motion related imaging problems.
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Affiliation(s)
- Robert Odenbach
- Department of Medical Engineering, Otto-von-Guericke-University of Magdeburg, Germany
| | - Axel Boese
- Department of Medical Engineering, Otto-von-Guericke-University of Magdeburg, Germany
| | - Michael Friebe
- Department of Medical Engineering, Otto-von-Guericke-University of Magdeburg, Germany
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9
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Tyler MK. Quantification of interplay and gradient effects for lung stereotactic ablative radiotherapy (SABR) treatments. J Appl Clin Med Phys 2016; 17:158-166. [PMID: 26894347 PMCID: PMC5690216 DOI: 10.1120/jacmp.v17i1.5781] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 08/17/2015] [Accepted: 07/01/2015] [Indexed: 12/14/2022] Open
Abstract
This study quantified the interplay and gradient effects on GTV dose coverage for 3D CRT, dMLC IMRT, and VMAT SABR treatments for target amplitudes of 5–30 mm using 3DVH v3.1 software incorporating 4D Respiratory MotionSim (4D RMS) module. For clinically relevant motion periods (5 s), the interplay effect was small, with deviations in the minimum dose covering the target volume (D99%) of less than ±2.5% for target amplitudes up to 30 mm. Increasing the period to 60 s resulted in interplay effects of up to ±15.0% on target D99% dose coverage. The gradient effect introduced by target motion resulted in deviations of up to ±3.5% in D99% target dose coverage. VMAT treatments showed the largest deviation in dose metrics, which was attributed to the long delivery times in comparison to dMLC IMRT. Retrospective patient analysis indicated minimal interplay and gradient effects for patients treated with dMLC IMRT at the NCCI. PACS numbers: 87.55.km, 87.56.Fc
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10
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Kwong Y, Mel AO, Wheeler G, Troupis JM. Four-dimensional computed tomography (4DCT): A review of the current status and applications. J Med Imaging Radiat Oncol 2015; 59:545-54. [DOI: 10.1111/1754-9485.12326] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2014] [Accepted: 04/19/2015] [Indexed: 01/16/2023]
Affiliation(s)
- Yune Kwong
- Department of Diagnostic Imaging; Monash Health; Melbourne Victoria Australia
| | - Alexandra Olimpia Mel
- Department of Biomedical Radiation Science; Faculty of Medicine; Dentistry and Nursing; Monash University; Melbourne Victoria Australia
| | - Greg Wheeler
- Department of Radiation Oncology and Cancer Imaging; Peter MacCallum Cancer Centre; Melbourne Victoria Australia
| | - John M Troupis
- Department of Diagnostic Imaging; Monash Health; Melbourne Victoria Australia
- Department of Biomedical Radiation Science; Faculty of Medicine; Dentistry and Nursing; Monash University; Melbourne Victoria Australia
- Monash Cardiovascular Research Centre; Monash University; Melbourne Victoria Australia
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