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User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy

Anjana Ramkumar, Jose Dolz, Hortense A. Kirisli, Sonja Adebahr, Tanja Schimek-Jasch, Ursula Nestle, Laurent Massoptier, Edit Varga, Pieter Jan Stappers, Wiro J. Niessen, Yu Song
2015 Journal of digital imaging  
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

J. Dolz, H. A. Kirişli, T. Fechter, S. Karnitzki, O. Oehlke, U. Nestle, M. Vermandel, L. Massoptier
2016 Medical Physics (Lancaster)  
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

M. Coffey
2013 Radiotherapy and Oncology  
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

J. Dolz, H.A. Kirisli, T. Fechter, S. Karnitzki, U. Nestle, M. Vermandel, L. Massoptier
2016 Radiotherapy and Oncology  
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

Emmanuel Rios Velazquez, Hugo J.W.L. Aerts, Yuhua Gu, Dmitry B. Goldgof, Dirk De Ruysscher, Andre Dekker, René Korn, Robert J. Gillies, Philippe Lambin
2012 Radiotherapy and Oncology  
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

M. Burghelea, D. Verellen, K. Poels, T. Gevaert, T. Depuydt, K. Tournel, M. De Ridder, M. Hiraoka, V. Simon
2015 Radiotherapy and Oncology  
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

Anjana Ramkumar, Pieter Jan Stappers, Wiro J. Niessen, Sonja Adebahr, Tanja Schimek-Jasch, Ursula Nestle, Yu Song
2016 International Journal of Human-Computer Interaction  
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

M Mazonakis, J Damilakis, H Varveris, P Prassopoulos, N Gourtsoyiannis
2001 British Journal of Radiology  
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]

Hongsheng Li, Ming Chen
2020 Zenodo  
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

M. Alber
2013 Radiotherapy and Oncology  
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

Patrick J. Leavey, Lorrie F. Odom, Marten Poole, Lee McNeely, R. Weslie Tyson, Gerald M. Haase
1997 Medical and Pediatric Oncology  
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

I. El Naqa
2013 Radiotherapy and Oncology  
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

G. Bueno, M. Fisher, R. Aldridge
2001 The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001  
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]

Renata G. Raidou
2018 EuroVis Workshop on Trustworthy Visualization  
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]

Hongsheng Li, Ming Chen
2020 Zenodo  
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
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