Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach

Abstract—Computerized detection schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions that they initially overlooked. These schemes typically employ multiple parameters such as threshold values or filter weights to arrive at a detection decision. In order for the system to have high performance, the values of these parameters need to be set optimally. Conventional optimization techniques are designed to optimize a scalar objective function. The task of optimizing the performance of a computerized detection scheme, however, is clearly a multiobjective problem: we wish to simultaneously improve the sensitivity and false-positive rate of the system. In this work we investigate a multiobjective approach to optimizing computerized rule-based detection schemes. In a multiobjective optimization, multiple objectives are simultaneously optimized, with the objective now being a vector-valued function. The multiobjective optimizatio...

• Type: Journal
• Year: 1998
• Where: TMI
• Authors: Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa
• Keywords: Detection Schemes, Multiobjective Optimization, Rule-based Detection Schemes, TMI 1998