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Start Over Author "Young, Sean I." Publisher elife sciences publications, ltd
4 results on '"Young, Sean I."'

1. Author Response: Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

Author

Gazula, Harshvardhan, primary, Tregidgo, Henry F. J., additional, Billot, Benjamin, additional, Balbastre, Yael, additional, William-Ramirez, Jonathan, additional, Herisse, Rogeny, additional, Deden-Binder, Lucas J, additional, Casamitjana, Adrià, additional, Melief, Erica J., additional, Latimer, Caitlin S., additional, Kilgore, Mitchell D., additional, Montine, Mark, additional, Robinson, Eleanor, additional, Blackburn, Emily, additional, Marshall, Michael S., additional, Connors, Theresa R., additional, Oakley, Derek H., additional, Frosch, Matthew P., additional, Young, Sean I., additional, Leemput, Koen Van, additional, Dalca, Adrian V., additional, Fischl, Bruce, additional, Mac Donald, Christine L., additional, Keene, C. Dirk, additional, Hyman, Bradley T., additional, and Iglesias, Juan Eugenio, additional

Published
2024
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2. Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

Author

Gazula, Harshvardhan, primary, Tregidgo, Henry F. J., additional, Billot, Benjamin, additional, Balbastre, Yael, additional, William-Ramirez, Jonathan, additional, Herisse, Rogeny, additional, Deden-Binder, Lucas J, additional, Casamitjana, Adrià, additional, Melief, Erica J., additional, Latimer, Caitlin S., additional, Kilgore, Mitchell D., additional, Montine, Mark, additional, Robinson, Eleanor, additional, Blackburn, Emily, additional, Marshall, Michael S., additional, Connors, Theresa R., additional, Oakley, Derek H., additional, Frosch, Matthew P., additional, Young, Sean I., additional, Leemput, Koen Van, additional, Dalca, Adrian V., additional, Fischl, Bruce, additional, Mac Donald, Christine L., additional, Keene, C. Dirk, additional, Hyman, Bradley T., additional, and Iglesias, Juan Eugenio, additional

Published
2024
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3. Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

Author

Gazula, Harshvardhan, primary, Tregidgo, Henry F. J., additional, Billot, Benjamin, additional, Balbastre, Yael, additional, William-Ramirez, Jonathan, additional, Herisse, Rogeny, additional, Deden-Binder, Lucas J, additional, Casamitjana, Adrià, additional, Melief, Erica J., additional, Latimer, Caitlin S., additional, Kilgore, Mitchell D., additional, Montine, Mark, additional, Robinson, Eleanor, additional, Blackburn, Emily, additional, Marshall, Michael S., additional, Connors, Theresa R., additional, Oakley, Derek H., additional, Frosch, Matthew P., additional, Young, Sean I., additional, Van Leemput, Koen, additional, Dalca, Adrian V., additional, Fischl, Bruce, additional, Mac Donald, Christine L., additional, Keene, C. Dirk, additional, Hyman, Bradley T., additional, and Iglesias, Juan Eugenio, additional

Published
2023
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4. Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology.

Author

Gazula H, Tregidgo HFJ, Billot B, Balbastre Y, Williams-Ramirez J, Herisse R, Deden-Binder LJ, Casamitjana A, Melief EJ, Latimer CS, Kilgore MD, Montine M, Robinson E, Blackburn E, Marshall MS, Connors TR, Oakley DH, Frosch MP, Young SI, Van Leemput K, Dalca AV, Fischl B, MacDonald CL, Keene CD, Hyman BT, and Iglesias JE

Subjects
Humans, Photography methods, Dissection, Magnetic Resonance Imaging methods, Neuropathology methods, Neuroimaging methods, Imaging, Three-Dimensional methods, Alzheimer Disease diagnostic imaging, Alzheimer Disease pathology, Brain diagnostic imaging, Brain pathology, Machine Learning
Abstract

We present open-source tools for three-dimensional (3D) analysis of photographs of dissected slices of human brains, which are routinely acquired in brain banks but seldom used for quantitative analysis. Our tools can: (1) 3D reconstruct a volume from the photographs and, optionally, a surface scan; and (2) produce a high-resolution 3D segmentation into 11 brain regions per hemisphere (22 in total), independently of the slice thickness. Our tools can be used as a substitute for ex vivo magnetic resonance imaging (MRI), which requires access to an MRI scanner, ex vivo scanning expertise, and considerable financial resources. We tested our tools on synthetic and real data from two NIH Alzheimer's Disease Research Centers. The results show that our methodology yields accurate 3D reconstructions, segmentations, and volumetric measurements that are highly correlated to those from MRI. Our method also detects expected differences between post mortem confirmed Alzheimer's disease cases and controls. The tools are available in our widespread neuroimaging suite 'FreeSurfer' (https://surfer.nmr.mgh.harvard.edu/fswiki/PhotoTools)., Competing Interests: HG, HT, BB, YB, JW, RH, LD, AC, EM, CL, MK, MM, ER, EB, MM, TC, DO, MF, SY, KV, AD, CM, CK, JI No competing interests declared, BF BF has a financial interest in CorticoMetrics, a company developing brain MRI measurementtechnology; his interests are reviewed and managed by Massachusetts General Hospital, BH Reviewing editor, eLife, (© 2023, Gazula et al.)

Published
2024
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