scholarly journals A Fuzzy Non-linear Similarity Measure for Case-Based Reasoning Systems for Radiotherapy Treatment Planning

2010 ◽  
pp. 112-119 ◽  
Author(s):  
Rupa Jagannathan ◽  
Sanja Petrovic ◽  
Angela McKenna ◽  
Louise Newton
Keyword(s):  
Treatment Planning ◽  
Similarity Measure ◽  
Case Based Reasoning ◽  
Radiotherapy Treatment Planning ◽  
Reasoning Systems ◽  
Non Linear ◽  
Radiotherapy Treatment ◽  
Case Based

A NOVEL TWO PHASE RETRIEVAL MECHANISM FOR A CLINICAL CASE BASED REASONING SYSTEM FOR RADIOTHERAPY TREATMENT PLANNING

2012 ◽  
Vol 21 (04) ◽  
pp. 1240017 ◽  
Author(s):  
RUPA JAGANNATHAN ◽  
SANJA PETROVIC ◽  
ANGELA MCKENNA ◽  
LOUISE NEWTON
Keyword(s):  
Treatment Planning ◽  
Similarity Measure ◽  
Brain Cancer ◽  
Phase Retrieval ◽  
Case Based Reasoning ◽  
Radiotherapy Treatment Planning ◽  
Two Phase ◽  
Retrieval Mechanism ◽  
Radiotherapy Treatment ◽  
Case Based

This paper presents a decision support system for radiotherapy treatment planning for head, neck and brain cancer. The aim of a treatment plan is to apply radiation to kill tumor cells, while minimizing the damage to healthy tissue and critical organs. Since treatment planning is a complex decision making process that relies heavily on the subjective experience of clinicians, we propose the use of case-based reasoning (CBR), in which problems are solved based on the solutions of similar past problems. This paper focuses on the case retrieval process of a CBR system. The attributes, which describe the cases, are selected by assessing their effect on the performance of the CBR system. We have developed a context sensitive local weighting scheme that assigns weights to attributes based on their value and the values of other attributes in the target case. A novel two phase retrieval mechanism is developed, in which each phase is optimized to retrieve a particular part of the solution. We also present an original use of fuzzy logic in order to represent nonlinearity in the similarity measure. Experiments, which evaluate the similarity measure using real brain cancer patient cases, show promising results.

Feasibility of non-linear image registration for radiotherapy treatment planning with gamma camera PET

2004 ◽  
Vol 25 (3) ◽  
pp. 318 ◽  
Author(s):  
R. H. Ireland ◽  
S. M. Wood ◽  
P. Metherall ◽  
M. B. Hanney ◽  
W. B. Tindale ◽  
...  
Keyword(s):  
Image Registration ◽  
Treatment Planning ◽  
Gamma Camera ◽  
Radiotherapy Treatment Planning ◽  
Non Linear ◽  
Radiotherapy Treatment

Hybrid similarity measure for retrieval in case-based reasoning systems and its applications for computer numerical control turret design

2016 ◽  
Vol 232 (5) ◽  
pp. 918-927 ◽  
Author(s):  
Haiqiao Wang ◽  
Beibei Sun ◽  
Xianfa Shen
Keyword(s):  
Similarity Measure ◽  
Computer Numerical Control ◽  
Structure Design ◽  
Numerical Control ◽  
Design Knowledge ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Reasoning Systems ◽  
Global Similarity ◽  
Case Based

Analyzing the history of design is helpful in creating the computer numerical control turret design. Knowledge acquired from reasonably organizing and reusing designs may contribute to establishing computer numerical control turret design tasks. This article presents the results of our study on the representation and reuse of computer numerical control turret design knowledge and highlights the application of a case-based reasoning method in the structure design of a computer numerical control turret. The primary step in case-based reasoning systems is case retrieval where the similarity measure plays a significant role. The objective of this study is to develop a new method for a hybrid similarity measure with five formats of attribute values: crisp symbols, crisp numbers, fuzzy numbers, fuzzy linguistic variables, and fuzzy intervals. First, a hybrid similarity measure for a mixture of crisp and fuzzy sets is proposed for retrieving cases. Subsequently, a synthesis weight is formed through the combination of the subjective weight and objective weight. The calculation formula of the global similarity, which can retrieve the proper historical case, can be established by combining the hybrid similarity measure and the synthesis weight measure accordingly. Finally, the hybrid similarity measure and weight assignment method were applied in a computer numerical control turret conceptual design case-based reasoning system. The results showed that the global similarity of these five attribute types and the distribution of weight coefficients could improve the accuracy of case retrieval, which would help designers achieve the goal of rapid design.

scholarly journals Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning

2017 ◽  
Vol 35 ◽  
pp. 7-17 ◽  
Author(s):  
F. Guerreiro ◽  
N. Burgos ◽  
A. Dunlop ◽  
K. Wong ◽  
I. Petkar ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Radiotherapy Treatment Planning ◽  
Synthesis Approach ◽  
Radiotherapy Treatment
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