Multiple Sclerosis lesions detection by a hybrid Watershed-Clustering algorithm

被引：10

作者：

Bonanno, Lilla ^{[1
]}

Mammone, Nadia ^{[1
]}

De Salvo, Simona ^{[1
]}

Bramanti, Alessia ^{[1
]}

Rifici, Carmela ^{[1
]}

Sessa, Edoardo ^{[1
]}

Bramanti, Placido ^{[1
]}

Marino, Silvia ^{[1
]}

Ciurleo, Rosella ^{[1
]}

机构：

[1] IRCCS Ctr Neurolesi Bonino Pulejo, SS 113,Via Palermo,Cda Casazza, I-98124 Messina, Italy

来源：

CLINICAL IMAGING | 2021年 / 72卷

关键词：

Watershed algorithm; Image segmentation; Magnetic Resonance Imaging; Multiple Sclerosis; CAD system;

D O I：

10.1016/j.clinimag.2020.11.006

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Background: Computer Aided Diagnosis (CAD) systems have been developing in the last years with the aim of helping the diagnosis and monitoring of several diseases. We present a novel CAD system based on a hybrid Watershed-Clustering algorithm for the detection of lesions in Multiple Sclerosis. Methods: Magnetic Resonance Imaging scans (FLAIR sequences without gadolinium) of 20 patients affected by Multiple Sclerosis with hyperintense lesions were studied. The CAD system consisted of the following automated processing steps: images recording, automated segmentation based on the Watershed algorithm, detection of lesions, extraction of both dynamic and morphological features, and classification of lesions by Cluster Analysis. Results: The investigation was performed on 316 suspect regions including 255 lesion and 61 non-lesion cases. The Receiver Operating Characteristic analysis revealed a highly significant difference between lesions and nonlesions; the diagnostic accuracy was 87% (95% CI: 0.83-0.90), with an appropriate cut-off of 192.8; the sensitivity was 77% and the specificity was 87%. Conclusions: In conclusion, we developed a CAD system by using a modified algorithm for automated image segmentation which may discriminate MS lesions from non-lesions. The proposed method generates a detection out-put that may be support the clinical evaluation.

引用

页码：162 / 167

页数：6

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