Evaluation of the MRI Images Matching Using Normalized Mutual Information Method and Preprocessing Techniques

被引：1

作者：

Bzowski, Pawel ^{[1
,2
]}

Borys, Damian ^{[1
,2
]}

Guz, Wieslaw ^{[3
,4
]}

Obuchowicz, Rafal ^{[5
]}

Piorkowski, Adam ^{[6
]}

机构：

[1] Maria Sklodowska Curie Inst Oncol Ctr, Gliwice Branch, PET Diagnost Dept, Gliwice, Poland

[2] Silesian Tech Univ, Biotechnol Ctr, Gliwice, Poland

[3] Univ Rzeszow, Fac Med, Inst Expt & Clin Med, Dept Radiol Diagnost Imaging & Nucl Med, Rzeszow, Poland

[4] Univ Rzeszow, Fac Med, Inst Nursing & Hlth Sci, Dept Electroradiol, Rzeszow, Poland

[5] Jagiellonian Univ Med Coll, Dept Diagnost Imaging, 19 Kopernika St, PL-31501 Krakow, Poland

[6] AGH Univ Sci & Technol, Dept Biocybernet & Biomed Engn, Al Mickiewicza 30, PL-30059 Krakow, Poland

来源：

IMAGE PROCESSING AND COMMUNICATIONS: TECHNIQUES, ALGORITHMS AND APPLICATIONS | 2020年 / 1062卷

关键词：

Magnetic Resonance Imaging; Co-registration; Matching; T1 and T2 weighted images; SEGMENTATION;

D O I：

10.1007/978-3-030-31254-1_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the common methods for medical diagnosis is Magnetic Resonance Imaging (MRI), a safe, non-invasive method. During each imaging session a patient's position may be different, therefore comparison of two sequences can become difficult. The primary goal of this work is preparation of an optimal algorithm for co-registration of T1 and T2 weighted MRI images. To adjust co-registration sensitivity, different preprocessing methods to perform normalizations and edge detection were used. The obtained results allow to increase quality of the co-registration process.

引用

页码：92 / 100

页数：9

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