Journal: Quantitative Imaging in Medicine and Surgery

Article Title: Tumor motion tracking based on a four-dimensional computed tomography respiratory motion model driven by an ultrasound tracking technique

doi: 10.21037/qims.2019.09.02

Figure Lengend Snippet: Schematic diagram of the RMSS with the lung tumor phantom and diaphragm phantom. (A) Schematic of the RMSS; (B) schematic of the RMSS assembly of the lung tumor phantom (elastic ball), diaphragm phantom (rubber belt attached inside the bucket), and abdominal phantom (ball). RMSS, respiratory motion simulation system.

Article Snippet: Methods Three different tumor motion-conversion models were created using a respiratory motion simulation system (RMSS) combined with 4DCT.

Techniques:

Journal: Quantitative Imaging in Medicine and Surgery

Article Title: Tumor motion tracking based on a four-dimensional computed tomography respiratory motion model driven by an ultrasound tracking technique

doi: 10.21037/qims.2019.09.02

Figure Lengend Snippet: Schematic diagram of tumor tracking. RMSS, respiratory motion simulation system; 4DCT, four-dimensional computed tomography.

Article Snippet: Methods Three different tumor motion-conversion models were created using a respiratory motion simulation system (RMSS) combined with 4DCT.

Techniques: Computed Tomography

Journal: Quantitative Imaging in Medicine and Surgery

Article Title: Tumor motion tracking based on a four-dimensional computed tomography respiratory motion model driven by an ultrasound tracking technique

doi: 10.21037/qims.2019.09.02

Figure Lengend Snippet: Experimental setup of the tumor motion model. (A) Photograph of the RMSS and three phantoms mounted on the Cine-CT machine; (B) ultrasound image of the diaphragm phantom; (C) 4DCT axial section; (D) photograph of the tumor position for a phase of 50% under 4DCT. RMSS, respiratory motion simulation system; 4DCT, four-dimensional computed tomography.

Article Snippet: Methods Three different tumor motion-conversion models were created using a respiratory motion simulation system (RMSS) combined with 4DCT.

Techniques: Computed Tomography

Journal: Quantitative Imaging in Medicine and Surgery

Article Title: Tumor motion tracking based on a four-dimensional computed tomography respiratory motion model driven by an ultrasound tracking technique

doi: 10.21037/qims.2019.09.02

Figure Lengend Snippet: Experimental setup of the tracking error verification experiment. (A) Photograph of the RMSS and three phantoms mounted in the CBCT machine for error verification experiments; (B) photograph of a lung tumor phantom under CBCT (in the SI and ML directions). SI, superior-inferior; ML, medial-lateral; RMSS, respiratory motion simulation system; CBCT, cone-beam computed tomography.

Article Snippet: Methods Three different tumor motion-conversion models were created using a respiratory motion simulation system (RMSS) combined with 4DCT.

Techniques: Computed Tomography

Journal: Physics in medicine and biology

Article Title: RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans

doi: 10.1088/1361-6560/acb484

Figure Lengend Snippet: The schematic image for the proposed deep learning model. The Seq2Seq encoder-decoder framework was used as the backbone of the proposed model. The model was built with 3D convolution layers for feature encoding and output decoding and 3D convolutional Long Short-Term Memory (3D ConvLSTM) layers for spatial-temporal correlation between time points. The last layer of the decoder was a spatial transform layer to warp the initial phase image with the predicted Deformation Vector Field (DVF). To modulate the respiratory motions the 1D breathing trace was given as input along with the initial phase image. The dimension of image volume was 128 × 128 × 128 and the input feature to 3D ConvLSTM is 64 × 64 × 64 × 96 (Depth × Width × Height × Channel)

Article Snippet: We present a novel 3D Seq2Seq deep learning respiratory motion simulator (RMSim) that learns from 4D-CT images and predicts future breathing phases given a static CT image.

Techniques: Plasmid Preparation

Journal: Reports of Practical Oncology and Radiotherapy

Article Title: Effect of patient and tumor characteristics on respiratory motion in early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with stereotactic body radiation therapy (SBRT)

doi: 10.5603/rpor.101531

Figure Lengend Snippet: Scatter plots of continuous distribution of respiratory tumor motion assessed as (ITV–CTV)/CTV and various categorized values. CTV — clinical target volume; ITV — internal target volume. A . CTV; B . Age; C . Body mass index (BMI); D . Forced expiratory volume in 1 second FEV1.0 (1 s volume); E . Brinkmann Index (BI)

Article Snippet: We conducted a retrospective analysis to determine the effect of patient and tumor characteristics on lung tumor respiratory motion in patients with early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with SBRT.

Techniques:

Journal: Reports of Practical Oncology and Radiotherapy

Article Title: Effect of patient and tumor characteristics on respiratory motion in early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with stereotactic body radiation therapy (SBRT)

doi: 10.5603/rpor.101531

Figure Lengend Snippet: Box and whisker plots of the distribution of respiratory tumor motion assessed as (ITV–CTV)/CTV between different categories of values. CTV — clinical target volume; ITV — internal target volume. A . Sex; B . Types of ventilatory impairment; C . T-stages; D . Clinical stages; E . Tumor-bearing lung lobes; F . Histopathological types of tumors

Article Snippet: We conducted a retrospective analysis to determine the effect of patient and tumor characteristics on lung tumor respiratory motion in patients with early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with SBRT.

Techniques: Whisker Assay

Journal: Reports of Practical Oncology and Radiotherapy

Article Title: Effect of patient and tumor characteristics on respiratory motion in early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with stereotactic body radiation therapy (SBRT)

doi: 10.5603/rpor.101531

Figure Lengend Snippet: Results of multivariate regression analysis of various factors affecting respiratory tumor motion

Article Snippet: We conducted a retrospective analysis to determine the effect of patient and tumor characteristics on lung tumor respiratory motion in patients with early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with SBRT.

Techniques:

Journal: Reports of Practical Oncology and Radiotherapy

Article Title: Effect of patient and tumor characteristics on respiratory motion in early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with stereotactic body radiation therapy (SBRT)

doi: 10.5603/rpor.101531

Figure Lengend Snippet: Characteristics of top 10 patients with the highest (ITV–CTV)/CTV among the patients enrolled in this study

Article Snippet: We conducted a retrospective analysis to determine the effect of patient and tumor characteristics on lung tumor respiratory motion in patients with early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with SBRT.

Techniques: