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Segmentation of Subtraction Images for the Measurement of Lesion Change in Multiple Sclerosis

By Y. Duan, P. G. Hildenbrand, M. P. Sampat, D. F. Tate, I. Csapo, B. Moraal, R. Bakshi, F. Barkhof, D. S. Meier and C. R. G. Guttmann

Abstract

BACKGROUND AND PURPOSE: Lesion volume change (LVC) assessment is essential in monitoring MS progression. LVC is usually measured by independently segmenting serial MR imaging examinations. Subtraction imaging has been proposed for improved visualization and characterization of lesion change. We compare segmentation of subtraction images (SSEG) with serial single time-point con-ventional segmentation (CSEG) by assessing the LVC relationship to brain atrophy and disease duration, as well as scan-rescan reproducibility and annual rates of lesion accrual. MATERIALS AND METHODS: Pairs of scans were acquired 1.5 to 4.7 years apart in 21 patients with multiple sclerosis (MS). Scan-rescan MR images were acquired within 30 minutes in 10 patients with MS. LVC was measured with CSEG and SSEG after coregistration and normalization. Coefficient of variation (COV) and Bland-Altman analyses estimated method reproducibility. Spearman rank correla-tions probed associations between LVC and other measures. RESULTS: Atrophy rate and net LVC were associated for SSEG (R 0.446; P .05) but not when using CSEG (R 0.180; P .421). Disease duration did not show an association with net lesion volume change per year measured by CSEG (R 0.360; P .11) but showed an inverse correlation with SSEG-derived measurements (R 0.508; P .05). Scan-rescan COV was lower for SSE

Year: 2015
OAI identifier: oai:CiteSeerX.psu:10.1.1.544.2923
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