Recent Publications

2023

S Aja-Fernández, C Martín-Martín, Á Planchuelo-Gómez, A Faiyaz, ..."Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies"NeuroImage: Clinical 39, 103483

   

 

2022

E Dai, M Mani, JA McNab, "Multi‐band multi‐shot diffusion MRI reconstruction with joint usage of structured low‐rank constraints and explicit phase mapping", Magnetic Resonance in Medicine 89 (1), 95-111, 2022


 


 

2021

Mani M, Yang B, Bathla G, Magnotta V, Jacob M. "Multi-band- and in-plane-accelerated diffusion MRI enabled by model-based deep learning in q-space and its extension to learning in the spherical harmonic domain" Magn Reson Med. 2022;87:1799–1815

Mani M, Magnotta V, Jacob M. “qModeL: A Plug-and-Play Model-based Reconstruction for Highly Accelerated Multi-shot Diffusion MRI Using Learned Priors”. Magnetic Resonance in Medicine, 2021 Aug;86(2):835-851. doi: 10.1002/mrm.28756. Epub 2021 Mar 24. PMID: 33759240; PMCID: PMC8076086.

 


2020

Shaffer, Mani M, Schmitz S., Xu J, Owusu N, Wu D, Magnotta V., Wemmie J.. “Proton Exchange Magnetic Resonance Imaging: Current and Future Applications in Psychiatric Research”. Frontiers in Psychiatry , 2020 September; doi:10.3389/fpsyt.2020.532606.

Jacob M, Mani M, Chul Ye J. “Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning”. Special Issue on Computational MRI: Compressed Sensing and Beyond in IEEE Signal Processing Magazine, 2020 January; 37(1). doi: 10.1109/MSP.2019.2950432.

Mani M, Aggarwal HK, Magnotta V, Jacob M. “Improved MUSSELS reconstruction for high-resolution multi-shot diffusion weighted imaging”. Magnetic Resonance in Medicine, 2019 Dec 2, doi: 10.1002/mrm.28090. [Epub ahead of print] PubMed PMID: 31789440.

 


2019

Aggarwal HK, Mani MP, Jacob M. MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI. IEEE Trans Med Imaging. 2019 Oct 9;. doi: 10.1109/TMI.2019.2946501. 

Mani M, Jacob M, McKinnon G, Yang B, Rutt B, Kerr A, Magnotta V. SMS MUSSELS: A navigator-free reconstruction for simultaneous multi-slice-accelerated multi-shot diffusion weighted imaging. Magn Reson Med. 2020 Jan;83(1):154-169. doi: 10.1002/mrm.27924. 

Aggarwal, H. K., Mani, M. P. & Jacob, M. (2019). MoDL: Model-Based Deep Learning Architecture for Inverse Problems. IEEE Transactions on Medical Imaging, 38(2), 394-405. DOI: 10.1109/TMI.2018.2865356. PMID: 30106719


2018

Balachandrasekaran, A., Mani, M. & Jacob, M. (2018). Calibration-free B0 correction of EPI data using structured low rank matrix recovery. IEEE transactions on medical imaging. PMID: 30334785.

 

Mani, M., Magnotta, V. & Jacob, M. (2018). A general algorithm for compensation of trajectory errors: Application to radial imaging. Magnetic resonance in medicine, 80(4), 1605-1613. PMID: 29493002.

 

Johnson, C. P., Christensen, G. E., Fiedorowicz, J. G., Mani, M., Shaffer, J. J., Magnotta, V. A. & Wemmie, J. A. (2018). Alterations of the cerebellum and basal ganglia in bipolar disorder mood states detected by quantitative T1? mapping. Bipolar Disorders, 20(4), 381-390. DOI: 10.1111/bdi.12581. PMID: 29316081


2017

Mani, M., Jacob, M., Kelley, D. & Magnotta, V. (2017). Multi-shot sensitivity-encoded diffusion data recovery using structured low-rank matrix completion (MUSSELS). Magnetic resonance in medicine, 78(2), 494-507. PMID: 27550212.

 

Liao, C., Chen, Y., Cao, X., Chen, S., He, H., Mani, M., Jacob, M., Magnotta, V. & Zhong, J. (2017). Efficient parallel reconstruction for high resolution multishot spiral diffusion data with low rank constraint. Magnetic resonance in medicine, 77(3), 1359-1366. PMID: 26968846.


2016

Mani M, Magnotta V, Kelley D, Jacob M. Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels. Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:1107-1110. doi: 10.1109/EMBC.2016.7590897. PubMed PMID: 28268519.


2015

Mani, M., Jacob, M., Magnotta, V. & Zhong, J. (2015). Fast iterative algorithm for the reconstruction of multishot non-cartesian diffusion data. Magnetic resonance in medicine, 74(4), 1086-94. PMID: 25323847.

 

Mani, M., Jacob, M., Guidon, A., Magnotta, V. & Zhong, J. (2015). Acceleration of high angular and spatial resolution diffusion imaging using compressed sensing with multichannel spiral data. Magnetic resonance in medicine, 73(1), 126-38. PMID: 24443248.


2014

Daducci, A., Canales-Rodríguez, E. J., Descoteaux, M., Garyfallidis, E., Gur, Y., Lin, Y. C., Mani, M., Merlet, S., Paquette, M., Ramirez-Manzanares, A., Reisert, M., Reis Rodrigues, P., Sepehrband, F., Caruyer, E., Choupan, J., Deriche, R., Jacob, M., Menegaz, G., Prckovska, V., Rivera, M., Wiaux, Y. & Thiran, J. P. (2014). Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI. IEEE transactions on medical imaging, 33(2), 384-99. PMID: 24132007.

Dubose L, Weng T, Dubishar K, Mani M, Voss M, Pierce G. Higher aortic stiffness and carotid systolic and pulse pressure are selectively associated with lower white matter integrity in genu and frontal cortex in older healthy adults. Artery research. 2014 December; 8(4):174. doi: 10.1016/j.artres.2014.09.028.


2012

Bavelier, D., Achtman, R. L., Mani, M. & Föcker, J. (2012). Neural bases of selective attention in action video game players. Vision research, 61, 132-43. PMID: 21864560.


Conference Abstracts


2020

Mani M, Aggarwal HK, Ghosh S, Jacob M, “Model-Based Deep Learning for Reconstruction of Joint K-Q Under-Sampled High Resolution Diffusion MRI”, accepted for presentation at IEEE International Symposium on Biomedical Imaging (ISBI'20), Iowa City, IA, April 3-7, 2020.

 

Siemonsma S, Kruger S, Balachandrasekaran A, Mani M, Jacob M, "Multi-Echo Recovery with Field Inhomogeneity Compensation Using Structured Low-Rank Matrix Completion", accepted for presentation at IEEE International Symposium on Biomedical Imaging (ISBI'20), Iowa City, IA, April 3-7, 2020.

 Mani M, Aggarwal HK, Ghosh S, Jacob M,Model-Based Deep Learning for Reconstruction of Joint k-q Under-Sampled Diffusion MRI", accepted for presentation at International Society for Magnetic Resonance in Medicine (ISMRM’ 20), Sydney, Australia, April 18-23, 2020.


 
2019

Mani M, Aggarwal HK, V Magnotta, and Jacob M, Improved MUSSELS Reconstruction for High-Resolution Diffusion Weighted Imaging Using Fast Iterative Re-weighted Least Squares Algorithm. ISMRM 2019 Montreal, Canada

 

Mani M, Jacob M, G McKinnon, B Yang, B Rutt, A Kerr, V Magnotta, SMS-MUSSELS: A Navigator-free Reconstruction for Slice-accelerated Multi-shot Diffusion Imaging,ISMRM 2019 Montreal, Canada

 Aggarwal HK, Mani MP, Jacob M, Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (MoDL-MUSSELS), 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy


2018

HK Aggarwal, MP Mani, M Jacob, “Model based image reconstruction using deep learned priors (MODL)” 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 671-674


2017

Mani M, Jacob M, Yang B, Magnotta V, “High Resolution Multi-Shot Diffusion Imaging at 7T without Navigators”, ISMRM, Honolulu, HI, April 2017.

Mani M, S Poddar, Magnotta V, Jacob M, “Trajectory Correction of Radial Data Using MUSSELS”, ISMRM, Honolulu, HI, April 2017.

Mani M, Jacob M, Magnotta V, “Comprehensive Correction of Motion and Nyquist Ghost Artifacts for Multi-Shot Diffusion Imaging”, ISMRM, Honolulu, HI, April 2017.

Mani M, Guidon A, Yang B, Magnotta V, Jacob M, “Self-Calibrated non-Cartesian Diffusion Imaging”, ISMRM, Honolulu, HI, April 2017.

Mani M, Jacob M, Yang B, Magnotta V, “Comparison of MUSSELS vs MUSE for Multi-Shot Diffusion Imaging”, ISMRM, Honolulu, HI, April 2017