A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy
2015
Journal of digital imaging
Preserved Fulltext
Accurate segmentation of organs at risk is an important step in radiotherapy planning. ...
Two physicians participated in the experiment. In total, 42 case studies were carried out on five different types of organs at risk. ...
Acknowledgments The presented research is part of Software for the Use of Multi-Modality images in External Radiotherapy (SUMMER) project which is funded by European Commission (FP7-PEOPLE-2011-ITN) under ...
doi:10.1007/s10278-015-9839-8
pmid:26553109
pmcid:PMC4788616
fatcat:ez2myzt4mbhpdobkg6wk5erhva
Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients
2016
Medical Physics (Lancaster)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
1 P e r s o n a l C o p y o f t h e A u t h o r Abstract Purpose: Accurate delineation of organs at risk (OARs) on computed tomography (CT) image is required for radiation treatment planning (RTP). ...
interactive approach was approved to be usable for RTP in nearly 90% of the cases, excluding the esophagus, which segmentation was mostly rejected, thus leading to a gain of time ranging from 50% to 80% ...
CONCLUSION This work presented a prototype for interactive segmentation of the organs at risk in the radiation treatment planning of NSCLC. ...
doi:10.1118/1.4947484
pmid:27147367
fatcat:pcni6cbjgzheldmgyos7zxxxuq
SP-0375: Risk management
2013
Radiotherapy and Oncology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
An abundant literature deals with this problem and many automatic or semi-automatic methods have been proposed, ranging from uptake thresholds to very complex segmentation algorithms. ...
Risk is a therefore a fact of life in radiotherapy, it cannot be eliminated but it can be minimized by good management. ...
doi:10.1016/s0167-8140(15)32681-5
fatcat:gobtslhzazcp7iurgeyfhnxk5u
PO-0932: Preliminary clinical study to evaluate an interactive system to segment OARs in thoracic oncology
2016
Radiotherapy and Oncology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Especially for patients with tumors close to organs at risk, the organ positions need to be precisely known as a function of time. In case of the heart 5D . ...
Purpose or Objective: Radiotherapy aims at delivering the highest possible dose to the tumor while minimizing the irradiation of surrounding healthy tissue, and especially to the organs at risk (OARs). ...
doi:10.1016/s0167-8140(16)32182-x
fatcat:7ojqjhtkcngyhiusxyifoca43m
A semiautomatic CT-based ensemble segmentation of lung tumors: Comparison with oncologists' delineations and with the surgical specimen
2012
Radiotherapy and Oncology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In practice, target volume and organs at risk are generally defined on a planning CT scan [22] , which remains as the reference imaging modality in the treatment planning of non-small cell lung cancer ...
A few studies have compared FDG PET based automatic segmentation tools with pathological examinations [19, 20] and demonstrated their utility in reducing inter-observer variability [16, 21] . ...
Acknowledgments This study was supported by the Dutch Cancer Society (KWF UM-2010-4776) and the National Institutes of Health (NIH-USA U01 CA 143062-01, Radiomics of NSCLC). ...
doi:10.1016/j.radonc.2012.09.023
pmid:23157978
pmcid:PMC3749821
fatcat:sfxl3ogdxzb6fa4td3vjkyuuja
PO-0972: Geometric verification of Dynamic Wave Arc using orthogonal X-ray fluoroscopic imaging
2015
Radiotherapy and Oncology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Purpose/Objective: Segmentation of organs at risk (OAR) in male pelvis is critical for planning prostate cancer radiotherapy. ...
Our aim was to segment OAR of male pelvis (i.e. femoral heads, bladder and rectum) on MRI or CT images, using a 3D semi-automatic method based on a superpixel algorithm. ...
Doubling the dose resulted in a double number of detected points around each CP, and an angular deviation reduction in all cases. ...
doi:10.1016/s0167-8140(15)40964-8
fatcat:36ijztcixnhudecgy5wsdreinm
Using GOMS and NASA-TLX to Evaluate Human–Computer Interaction Process in Interactive Segmentation
2016
International Journal of Human-Computer Interaction
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
For this, we conducted an experiment where three physicians used two interactive segmentation approaches to segment different types of organs at risk for radiotherapy planning. ...
HCI plays an important role in interactive medical image segmentation. ...
Hortense A Kirisli from Aquilab, France, for helping in the implementation of the prototypes. ...
doi:10.1080/10447318.2016.1220729
fatcat:h332rpzesnc47cnrfkma37rnka
Image segmentation in treatment planning for prostate cancer using the region growing technique
2001
British Journal of Radiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
The purpose of this study was to evaluate the performance of a region growing technique for segmenting prostate, bladder and rectum in CT images of prostate cancer patients. ...
The suggested semi-automatic technique allows the possibility of generating accurate and reproducible segmentation of prostate, bladder and rectum from CT data with great saving in labour. ...
An essential part of the conformal treatment planning procedure is to segment target volume and organs-at-risk in all CT images. ...
doi:10.1259/bjr.74.879.740243
pmid:11338100
fatcat:khcin3n7enfsja6qmllpumopye
Automatic Structure Segmentation for Radiotherapy Planning Challenge 2020
[article]
2020
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Four challenge tasks will be organized, including Organ-at-risk segmentation from head and neck CT scans, Organ-at-risk segmentation from chest CT scans, Gross Target Volume segmentation of nasopharynx ...
We propose to hold the challenge of automatic structure segmentation for radiotherapy planning 2020 in conjunct with MICCAI 2020. ...
Participation policies a) Define the allowed user interaction of the algorithms assessed (e.g. only (semi-) automatic methods allowed). ...
doi:10.5281/zenodo.3931230
fatcat:5gkqvgjrgvbixpxlrmqys4xfdu
SP-0377: Multi-criteria optimisation algorithms in radiotherapy
2013
Radiotherapy and Oncology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
An abundant literature deals with this problem and many automatic or semi-automatic methods have been proposed, ranging from uptake thresholds to very complex segmentation algorithms. ...
Different statistical methods in both approaches using case studies and examples from our work and others in the literature will be presented. ...
doi:10.1016/s0167-8140(15)32683-9
fatcat:w4sfe7puz5e5jnq5lrkgqar3wq
Intra-operative radiation therapy in pediatric neuroblastoma
1997
Medical and Pediatric Oncology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The effect of this planning technology on the global risk of the IORT technique has been assessed and documented as part of a failure mode and effect analysis (FMEA). ...
In spite of that, planning technology has not evolved since its conception, being outdated in comparison to current state of the art in other radiotherapy techniques and therefore slowing down the adoption ...
Automatic segmentation; fusion and registration of medical images Dose estimations at the tumor bed and at the organs at risk are facilitated thanks to the tools incorporated into the planning system to ...
doi:10.1002/(sici)1096-911x(199706)28:6<424::aid-mpo6>3.0.co;2-i
pmid:9143387
fatcat:jwaiv6g2xneybcqazcuo5wkyh4
SP-0376: Statistical methods for fitting of response/biological models to clinical data
2013
Radiotherapy and Oncology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
An abundant literature deals with this problem and many automatic or semi-automatic methods have been proposed, ranging from uptake thresholds to very complex segmentation algorithms. ...
Different statistical methods in both approaches using case studies and examples from our work and others in the literature will be presented. ...
doi:10.1016/s0167-8140(15)32682-7
fatcat:4oye4lxamjcxvjyqeo4n5dbbju
Segmentation of clinical structures for radiotherapy treatment planning: a comparison of two morphological approaches
2001
The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
and the final segmentation is represented by a region adjacency graph which may be interactively edited by the user. ...
The approach has enabled the quality of the automatic segmentation to be assessed in terms of the overall expert intra/inter variability. ...
It is estimated that outlining slice-by-slice the PTA (target area and organs at risk) on a data set of 60 slices would take between 40-100 min. a) b) c) Figure 2 . ...
doi:10.1109/anziis.2001.974041
fatcat:i6klkd4lbjfjfdvizua4ahrv7a
Uncertainty Visualization: Recent Developments and Future Challenges in Prostate Cancer Radiotherapy Planning
[article]
2018
EuroVis Workshop on Trustworthy Visualization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this work, we present a number of strategies from the field of Visual Analytics that have been recently designed and implemented, for the visualization of data, processes and uncertainties at each step ...
Radiotherapy is one of the most common treatment strategy for prostate cancer. Prior to radiotherapy, a complex process consisting of several steps is employed to create an optimal treatment plan. ...
Segmentation can be either performed manually, semi-automatically, or automatically. ...
doi:10.2312/eurorv3.20181143
dblp:conf/eurorvvv-ws/Raidou18
fatcat:cap2ouhqsrendnpb6gtqamtx5y
Automatic Structure Segmentation for Radiotherapy Planning Challenge 2020
[article]
2020
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Four challenge tasks will be organized, including Organ-at-risk segmentation from head and neck CT scans, Organ-at-risk segmentation from chest CT scans, Gross Target Volume segmentation of nasopharynx ...
We propose to hold the challenge of automatic structure segmentation for radiotherapy planning 2020 in conjunct with MICCAI 2020. ...
Participation policies a) Define the allowed user interaction of the algorithms assessed (e.g. only (semi-) automatic methods allowed). ...
doi:10.5281/zenodo.3718885
fatcat:6kgpbhc27nbs3daa46r2u7enoe
« Previous
Showing results 1 — 15 out of 1,624 results