Unscented Transform-Based Correlation Between Surrogate and Tumor Motion in Robotic Radiosurgery

2016 ◽  
pp. 239-249 ◽  
Author(s):  
Shu-mei Yu ◽  
Feng-feng Zhang ◽  
Meng Dou ◽  
Rong-chuan Sun ◽  
Li-ning Sun
Keyword(s):  
Tumor Motion ◽  
Unscented Transform ◽  
Robotic Radiosurgery

Comparison between target margins derived from 4DCT scans and real-time tumor motion tracking: Insights from lung tumor patients treated with robotic radiosurgery

2015 ◽  
Vol 42 (3) ◽  
pp. 1280-1287 ◽  
Author(s):  
Martina Descovich ◽  
Christopher McGuinness ◽  
Danita Kannarunimit ◽  
Josephine Chen ◽  
Dilini Pinnaduwage ◽  
...  
Keyword(s):  
Real Time ◽  
Motion Tracking ◽  
Lung Tumor ◽  
Tumor Motion ◽  
Tumor Patients ◽  
Robotic Radiosurgery

scholarly journals Correlated Skin Surface and Tumor Motion Modeling for Treatment Planning in Robotic Radiosurgery

2020 ◽  
Vol 14 ◽  
Author(s):  
Shumei Yu ◽  
Pengcheng Hou ◽  
Rongchuan Sun ◽  
Shaolong Kuang ◽  
Fengfeng Zhang ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Skin Surface ◽  
Tumor Motion ◽  
Motion Modeling ◽  
Robotic Radiosurgery

A Quantitative Assessment of Lung Tumor Motion under Abdominal Compression using 4D-CT Imaging

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Mohatt Dennis ◽  
Gomez Jorge ◽  
Malhotra Harish K
Keyword(s):  
Quantitative Assessment ◽  
Lung Tumor ◽  
Ct Imaging ◽  
Tumor Motion ◽  
Abdominal Compression ◽  
4D Ct

scholarly journals Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Wu-zhou Li ◽  
Zhi-wen Liang ◽  
Yi Cao ◽  
Ting-ting Cao ◽  
Hong Quan ◽  
...  
Keyword(s):  
Stereotactic Radiotherapy ◽  
Imaging System ◽  
Liver Tumors ◽  
Three Dimensional ◽  
Rigid Motion ◽  
Iterative Closest Point ◽  
Tumor Motion ◽  
Tracking Accuracy ◽  
Icp Algorithm ◽  
Anterior Posterior

Abstract Background Tumor motion may compromise the accuracy of liver stereotactic radiotherapy. In order to carry out a precise planning, estimating liver tumor motion during radiotherapy has received a lot of attention. Previous approach may have difficult to deal with image data corrupted by noise. The iterative closest point (ICP) algorithm is widely used for estimating the rigid registration of three-dimensional point sets when these data were dense or corrupted. In the light of this, our study estimated the three-dimensional (3D) rigid motion of liver tumors during stereotactic liver radiotherapy using reconstructed 3D coordinates of fiducials based on the ICP algorithm. Methods Four hundred ninety-five pairs of orthogonal kilovoltage (KV) images from the CyberKnife stereo imaging system for 12 patients were used in this study. For each pair of images, the 3D coordinates of fiducial markers inside the liver were calculated via geometric derivations. The 3D coordinates were used to calculate the real-time translational and rotational motion of liver tumors around three axes via an ICP algorithm. The residual error was also investigated both with and without rotational correction. Results The translational shifts of liver tumors in left-right (LR), anterior-posterior (AP),and superior-inferior (SI) directions were 2.92 ± 1.98 mm, 5.54 ± 3.12 mm, and 16.22 ± 5.86 mm, respectively; the rotational angles in left-right (LR), anterior-posterior (AP), and superior-inferior (SI) directions were 3.95° ± 3.08°, 4.93° ± 2.90°, and 4.09° ± 1.99°, respectively. Rotational correction decreased 3D fiducial displacement from 1.19 ± 0.35 mm to 0.65 ± 0.24 mm (P<0.001). Conclusions The maximum translational movement occurred in the SI direction. Rotational correction decreased fiducial displacements and increased tumor tracking accuracy.

scholarly journals The CyberKnife® Robotic Radiosurgery System in 2010

2010 ◽  
Vol 9 (5) ◽  
pp. 433-452 ◽  
Author(s):  
W. Kilby ◽  
J. R. Dooley ◽  
G. Kuduvalli ◽  
S. Sayeh ◽  
C. R. Maurer
Keyword(s):  
Robotic Radiosurgery

Stochastic multi-carrier energy management in the smart islands using reinforcement learning and unscented transform

2021 ◽  
Vol 130 ◽  
pp. 106988
Author(s):  
Hongbo Zou ◽  
Juan Tao ◽  
Salah K. Elsayed ◽  
Ehab E. Elattar ◽  
Abdulaziz Almalaq ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Energy Management ◽  
Unscented Transform ◽  
Carrier Energy

scholarly journals Robotic Radiosurgery for Persistent Postoperative Acromegaly in Patients with Cavernous Sinus-Invading Pituitary Adenomas—A Multicenter Experience

Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 537
Author(s):  
Felix Ehret ◽  
Markus Kufeld ◽  
Christoph Fürweger ◽  
Alfred Haidenberger ◽  
Paul Windisch ◽  
...  
Keyword(s):  
Disease Control ◽  
Effective Treatment ◽  
Cavernous Sinus ◽  
Treatment Options ◽  
Cavernous Sinus Invasion ◽  
Robotic Radiosurgery ◽  
Patient Morbidity ◽  
Biochemical Remission ◽  
Patients Experience

Background: The rates of incomplete surgical resection for pituitary macroadenomas with cavernous sinus invasion are high. In growth hormone-producing adenomas, there is a considerable risk for persistent acromegaly. Thus, effective treatment options are needed to limit patient morbidity and mortality. This multicenter study assesses the efficacy and safety of robotic radiosurgery (RRS) for patients with cavernous sinus-invading adenomas with persistent acromegaly. Methods: Patients who underwent RRS with CyberKnife for postoperative acromegaly were eligible. Results: Fifty patients were included. At a median follow-up of 57 months, the local control was 100%. The pretreatment insulin-like growth factor 1 (IGF-1) levels and indexes were 381 ng/mL and 1.49, respectively. The median dose and prescription isodose were 18 Gy and 70%, respectively. Six months after RRS, and at the last follow-up, the IGF-1 levels and indexes were 277 ng/mL and 1.14, as well as 196 ng/mL and 0.83, respectively (p = 0.0001 and p = 0.0002). The IGF-1 index was a predictor for biochemical remission (p = 0.04). Nine patients achieved biochemical remission and 24 patients showed biochemical disease control. Three patients developed a new hypopituitarism. Conclusions: RRS is an effective treatment for this challenging patient population. IGF-1 levels are decreasing after treatment and most patients experience biochemical disease control or remission.

Quantification of the geometric uncertainty when using implanted markers as a surrogate for lung tumor motion

2021 ◽  
Author(s):  
Nicholas Hardcastle ◽  
Adam Briggs ◽  
Vincent Caillet ◽  
Giorgios Angelis ◽  
Danielle Chrystall ◽  
...  
Keyword(s):  
Lung Tumor ◽  
Tumor Motion ◽  
Geometric Uncertainty

Operational analysis: A method for observing and analyzing digital media operations

2021 ◽  
pp. 146144482199864
Author(s):  
Kathrin Friedrich ◽  
A S Aurora Hoel
Keyword(s):  
Digital Media ◽  
Task Orientation ◽  
Operational Analysis ◽  
Media Technologies ◽  
Robotic Radiosurgery ◽  
Middle Range ◽  
Operational Models ◽  
Media Research ◽  
Media Applications ◽  
Tracking Devices

Interventional digital media applications such as robotic surgery, remote-controlled vehicles or wearable tracking devices pose a challenge to media research methodologically as well as conceptually. How do we go about analyzing operational media, where human and non-human agencies intertwine in seemingly inscrutable ways? This article introduces the method of o perational analysis to systematically observe and critically analyze such situated, interventional and multilayered entanglements. Against the background of ongoing efforts to develop operational models for understanding digital media, the method of operational analysis conceptually ascribes to media technologies a real efficacy by approaching them as adaptive mediators. As an operational middle-range approach, it allows to integrate theoretical discussions with considerations of the situatedness, directedness, and task-orientation of operational media. The article presents an analytical toolbox for observing and analyzing digital media operations while simultaneously testing it on a particular application in robotic radiosurgery.

Dosimetric Accuracy of Ray-tracing Algorithm for Treatment of Thoracic Spine Lesions Using Robotic Radiosurgery

2012 ◽  
Vol 84 (3) ◽  
pp. S280 ◽  
Author(s):  
R.L. Ebeling ◽  
J. Hiatt ◽  
O. Adetokunbo ◽  
M. Goldman ◽  
B. Curran ◽  
...  
Keyword(s):  
Ray Tracing ◽  
Thoracic Spine ◽  
Robotic Radiosurgery ◽  
Dosimetric Accuracy ◽  
Tracing Algorithm
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