Keywords:
PCJO, LDCT, image reconstruction
The anthropomorphic model observer (MO) has played an important role in the assessment of medical imaging systems due to its tasked-based features. In this paper, an improved clinical-relevant anthropomorphic MO is proposed for the task of detecting and locating lesions based on low-dose computerized tomography (LDCT) and the perceptually relevant channelized joint observer (PCJO). During our former study, PCJO has been proposed for detecting and locating multiple hyposignals and hypersignals of conventional dose with unknown amplitude, orientation, size and location. In this paper, we extend PCJO to LDCT field to explore its generality. Experiments were conducted using different image sets obtained by two LDCT image reconstruction algorithms: filtered back projection (FBP) and adaptive statistical iterative reconstruction (ASIR), and seek to compare their advantages and disadvantages. Preliminary results show that the extended PCJO can detect and locate multiple lesions with unknown amplitude, orientation, size and location in LDCT reconstruction images and approach experts’ performance under certain VDP threshold and combinations of channels.
- Tianjie Xu
- Laboratory of Image Science and Technology, Southeast University, China
- Lu Zhang
- IETR, CNRS UMR 6164, INSA Rennes, France
- Yang Chen
- Laboratory of Image Science and Technology, Southeast University, China
- Huazhong Shu
- Laboratory of Image Science and Technology, Southeast University, China
- Limin Luo
- Laboratory of Image Science and Technology, Southeast University, China
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