Efficient Similarity Measurement between Digitally Reconstructed Radiograph and Fluoroscopy for 3D-2D Registration

被引：0

作者：

Rao, Chaitanya R. H. ^{[1
]}

Anitha, H. ^{[1
]}

Bhat, Shyamasunder N. ^{[2
]}

Bhat, Vidya ^{[1
]}

机构：

[1] Manipal Inst Technol, Dept Elect & Commun, Manipal, Karnataka, India

[2] Kasturba Med Coll & Hosp, Dept Orthopaed, Manipal, Karnataka, India

来源：

2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2018年

关键词：

3D-2D registration; Digitally Reconstructed Radiographs; Compressed Sensing; Sparsity; Similarity measures; IMAGE REGISTRATION; LOCALIZATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This work aims to make use of compressed sensing to exploit the redundant nature hidden in the image and reduce the computational complexity involved in DRR generation. As a result, radiation risk to the patient can be reduced whilst maintaining an acceptable level of accuracy thus resulting in speed-up in DRR generation using the multi-resolution approach compared to the conventional ray casting approach. Also in this research, different gradient based similarity metrics were compared on the basis of accuracy to achieve robustness against image content mismatch.

引用

页码：611 / 616

页数：6

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