Author(s): Mikheev A, Nevsky G, Govindan S, Grossman R, Rusinek H
Purpose:To validate Bridge Burner, a new brain segmentation algorithm based on thresholding, connectivity, surface detection, and a new operator of constrained growing.
Materials and methods:T1-weighted MR images were selected at random from three previous neuroimaging studies to represent a spectrum of system manufacturers, pulse sequences, subject ages, genders, and neurological conditions. The ground truth consisted of brain masks generated manually by a consensus of expert observers. All cases were segmented using a common set of parameters.
Results:Bridge Burner segmentation errors were 3.4% +/- 1.3% (volume mismatch) and 0.34 +/- 0.17 mm (surface mismatch). The disagreement among experts was 3.8% +/- 2.0% (volume mismatch) and 0.48 +/- 0.49 mm (surface mismatch). The error obtained using the brain extraction tool (BET), a widely used brain segmentation program, was 8.3% +/- 9.1%. Bridge Burner brain masks are visually similar to the masks generated by human experts. Areas affected by signal intensity nonuniformity artifacts were occasionally undersegmented, and meninges and large sinuses were often falsely classified as the brain tissue. Segmentation of one MRI dataset takes seven seconds.
Conclusion:The new fully automatic algorithm appears to provide accurate brain segmentation from high-resolution T1-weighted MR images.
Referred From: https://pubmed.ncbi.nlm.nih.gov/18504741/
Author(s): Tomassini V, Matthews PM, Thompson AJ, Fuglø D, Geurts JJ, et al.
Author(s): Genova HM, Hillary FG, Wylie G, Rypma B, Deluca J
Author(s): Chiaravalloti N, Hillary F, Ricker J, Christodoulou C, Kalnin A, et al.
Author(s): Sumowski JF, Wylie GR, Leavitt VM, Chiaravalloti ND, Deluca J
Author(s): Pantano P, Iannetti GD, Caramia F, Mainero C, Di Legge S, et al.
Author(s): Hillary FG, Chiaravalloti N, Ricker JH, Steffener J, Bly BM, et al.
Author(s): Pantano P, Mainero C, Iannetti GD, Caramia F, Di Legge S, et al.
Author(s): Staffen W, Zauner H, Mair A, Kutzelnigg A, Kapeller P, et al.
Author(s): Kirov II, Tal A, Babb JS, Herbert J, Gonen O
Author(s): Kirov II, Patil V, Babb JS, Rusenek H, Herbert J, et al.
Author(s): Sajja BR, Wolinsky JS, Narayana PA
Author(s): De Stefano N, Filippi M, Miller D, Pouwels PJ, Rovira a, et al.
Author(s): Llufriu S, Kornak J, Ratiney H, Oh J, Brenneman D, et al.
Author(s): Lee M, Reddy H, Johansen-Berg H, Pendlebury S, Jenkinson M, et al.
Author(s): Mainero C, Caramia F, Pozzilli C, Pisani A, Pestalozza I, et al.
Author(s): Reddy H, Narayanan S, Woolrich M, Mitsumori T, Arnold DL, et al.
Author(s): Reddy H, Narayanan S, Arnoutelis R, Jenkinson M, Antel J, et al.
Author(s): Van Schependom J, D’hooghe MB, Cleynhens K, D’hooge M, Haelewyck M-C, et al.
Author(s): Reddy H, Narayanan S, Matthews PM, Hoge RD, Pike GB, et al.
Author(s): Inglese M, Li BSY, Rusinek H, Babb JS, Grossman RI, et al.
Author(s): McDonald WI, Compston a, Edan G, Goodkin D, Hartung HP, et al.
Author(s): Ashburner J, Neelin P, Collins DL, Evans A, Friston K
Author(s): Cox RW
Author(s): Gonen O, Murdoch JB, Stoyanova R, Goelman G
Author(s): Soher BJ, Young K, Govindaraju V, Maudsley AA
Author(s): Lynch J, Peeling J, Auty A, Sutherland GR
Author(s): Sled JG, Zijdenbos AP, Evans AC
Author(s): Kirov II, Patil V, Babb JS, Rusinek H, Herbert J, et al.
Author(s): Li BS, Wang H, Gonen O