Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion

. Author manuscript; available in PMC: 2021 Aug 4.

Published in final edited form as: Biomed Signal Process Control. 2019 Sep 3;55:101648. doi: 10.1016/j.bspc.2019.101648

All 30 features used in our proposed method [17].

1	2	3	4	5	6
Intensity of T1 (pre)	PTPSA of T1	mBm of T1	Intensity of T2 (pre)	PTPSA of T2	mBm of T2
7	8	9	10	11	12
Intensity of FL (pre)	PTPSA of FL	mBm of FL	Intensity of T1c (pre)	PTPSA of T1c	mBm of T1c
13	14	15	16	17	18
Texton of T2 (No. 37)	Texton of T2 (No. 38)	Texton of FL (No. 4)	Texton of FL (No. 37)	Texton of FL (No. 38)	Texton of T1c (No. 37)
19	20	21	22	23	24
Intensity of T1 (post)	Intensity of T2 (post)	Intensity of FL (post)	Intensity of T1c (post)	D21	D21C
25	26	27	28	29	30
D2f	Hist. T1	Hist. T2	Hist. FL	Hist. T1c	CSF mask

Note: Note: In the Table, “pre” means before normalization, “post” is after normalization. “FL” represents FLAIR modality, “D21” is the intensity difference between T2 and T1. “D21C” is intensity difference between T2 and TIC, and “D2f” is for intensity difference between T2 and FLAIR. “Hist.” means histogram matched.