Continuum Finite Element Analysis Generalizes In Vivo Trabecular Bone Microstructural Strength Measures between Two CT Scanners with Different Image Resolution
Guha, Indranil,
Zhang, Xiaoliu,
Nadeem, Syed Ahmed,
Levy, Steven M,
and Saha, Punam Kumar
@article{guha2023continuum,bibtex_show={true},abbr={BPEX},title={Continuum Finite Element Analysis Generalizes In Vivo Trabecular Bone Microstructural Strength Measures between Two CT Scanners with Different Image Resolution},author={Guha, Indranil and Zhang, Xiaoliu and Nadeem, Syed Ahmed and Levy, Steven M and Saha, Punam Kumar},journal={Biomedical Physics \& Engineering Express},doi={https://doi.org/10.1088/2057-1976/acbb0a},html={https://doi.org/10.1088/2057-1976/acbb0a},year={2023}}
2022
ATS
Automated Assessment of Vertebral Fractures from Chest CT Scans Using Deep Learning
Nadeem, SA,
Comellas, AP,
Guha, I,
Hoffman, EA,
Regan, EA,
and Saha, PK
@inproceedings{nadeem2022automated,bibtex_show={true},abbr={ATS},title={Automated Assessment of Vertebral Fractures from Chest CT Scans Using Deep Learning},author={Nadeem, SA and Comellas, AP and Guha, I and Hoffman, EA and Regan, EA and Saha, PK},booktitle={NEW INSIGHTS FROM LUNG IMAGING},pages={A3317--A3317},year={2022},publisher={American Thoracic Society},doi={https://www.atsjournals.org/doi/pdf/10.1164/ajrccm-conference.2022.205.1_MeetingAbstracts.A3317},html={https://www.atsjournals.org/doi/pdf/10.1164/ajrccm-conference.2022.205.1_MeetingAbstracts.A3317}}
JBMR Plus
Computed Tomography–Based Stiffness Measures of Trabecular Bone Microstructure: Cadaveric Validation and In Vivo Application
Guha, Indranil,
Zhang, Xialiou,
Rajapakse, Chamith S.,
Letuchy, Elena M.,
Chang, Gregory,
Janz, Kathleen F.,
Torner, James C.,
Levy, Steven M.,
and Saha, Punam K.
@article{jbmrshear,bibtex_show={true},abbr={JBMR Plus},author={Guha, Indranil and Zhang, Xialiou and Rajapakse, Chamith S. and Letuchy, Elena M. and Chang, Gregory and Janz, Kathleen F. and Torner, James C. and Levy, Steven M. and Saha, Punam K.},title={Computed Tomography–Based Stiffness Measures of Trabecular Bone Microstructure: Cadaveric Validation and In Vivo Application},journal={JBMR Plus},volume={n/a},number={n/a},year={2022},pages={e10627},doi={https://doi.org/10.1002/jbm4.10627},html={https://asbmr.onlinelibrary.wiley.com/doi/abs/10.1002/jbm4.10627},eprint={https://asbmr.onlinelibrary.wiley.com/doi/pdf/10.1002/jbm4.10627}}
Med Phy
Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modelling
Guha, Indranil,
Zhang, Xiaoliu,
Rajapakse, Chamith S,
Chang, Gregory,
and Saha, Punam K
@article{guha2022finite,bibtex_show={true},abbr={Med Phy},title={Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modelling},author={Guha, Indranil and Zhang, Xiaoliu and Rajapakse, Chamith S and Chang, Gregory and Saha, Punam K},journal={Medical Physics},year={2022},publisher={Wiley Online Library},html={https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.15629},pdf={Published-2022-Guha.pdf}}
SPIE
Clinical CT-based assessment of trabecular bone shear modulus using nonlinear finite element modelling
Guha, Indranil,
Zhang, Xiaoliu,
and Saha, Punam K.
In Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging
2022
@inproceedings{10.1117/12.2611648,bibtex_show={true},abbr={SPIE},author={Guha, Indranil and Zhang, Xiaoliu and Saha, Punam K.},title={{Clinical CT-based assessment of trabecular bone shear modulus using nonlinear finite element modelling}},volume={12036},booktitle={Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging},editor={Gimi, Barjor S. and Krol, Andrzej},organization={International Society for Optics and Photonics},publisher={SPIE},pages={389 -- 396},keywords={Clinical CT, Trabecular bone microstructure, Nonlinear FEA, Ash density, Shear modulus, von Mises stress},year={2022},doi={10.1117/12.2611648},html={https://doi.org/10.1117/12.2611648}}
SPIE
CT-based segmentation of thoracic vertebrae using deep learning and computation of the kyphotic angle
Nadeem, Syed Ahmed,
Comellas, Alejandro P.,
Guha, Indranil,
Regan, Elizabeth A.,
Hoffman, Eric A.,
and Saha, Punam K.
In Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging
2022
@inproceedings{10.1117/12.2613065,bibtex_show={true},abbr={SPIE},author={Nadeem, Syed Ahmed and Comellas, Alejandro P. and Guha, Indranil and Regan, Elizabeth A. and Hoffman, Eric A. and Saha, Punam K.},title={{CT-based segmentation of thoracic vertebrae using deep learning and computation of the kyphotic angle}},volume={12036},booktitle={Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging},editor={Gimi, Barjor S. and Krol, Andrzej},organization={International Society for Optics and Photonics},publisher={SPIE},pages={327 -- 334},keywords={Segmentation, Spine, Computed Tomography, Deep Learning, U-Net, Kyphosis},year={2022},doi={10.1117/12.2613065},html={https://doi.org/10.1117/12.2613065}}
2021
JBMR Plus
Quantitative CT-Based Methods for Bone Microstructural Measures and Their Relationships With Vertebral Fractures in a Pilot Study on Smokers
Zhang, Xiaoliu,
Comellas, Alejandro P,
Regan, Elizabeth A,
Guha, Indranil,
Shibli-Rahhal, Amal,
Rubin, Mishaela R,
DiCamillo, Paul A,
Letuchy, Elena M,
Barr, R Graham,
Hoffman, Eric A,
and others,
@article{zhang2021quantitative,bibtex_show={true},abbr={JBMR Plus},title={Quantitative CT-Based Methods for Bone Microstructural Measures and Their Relationships With Vertebral Fractures in a Pilot Study on Smokers},author={Zhang, Xiaoliu and Comellas, Alejandro P and Regan, Elizabeth A and Guha, Indranil and Shibli-Rahhal, Amal and Rubin, Mishaela R and DiCamillo, Paul A and Letuchy, Elena M and Barr, R Graham and Hoffman, Eric A and others},journal={JBMR Plus},volume={5},number={5},pages={e10484},year={2021},publisher={Wiley Online Library},html={ https://doi.org/10.1002/jbm4.10484},pdf={JBMR-Plus-2021-Zhang.pdf}}
SPIE
Finite element modelling of trabecular bone microstructure using emerging CT images
@inproceedings{10.1117/12.2580788,bibtex_show={true},abbr={SPIE},author={Guha, Indranil and Rajapakse, Chamith S. and Zhang, Xiaoliu and Chang, Gregory and Saha, Punam},title={{Finite element modelling of trabecular bone microstructure using emerging CT images}},volume={11600},booktitle={Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging},editor={Gimi, Barjor S. and Krol, Andrzej},organization={International Society for Optics and Photonics},publisher={SPIE},pages={309 -- 316},keywords={Finite Element Modelling, Bone Strength, Voxel Mesh , Young's Modulus, Trabecular Bone Microstructure, MDCT Imaging},year={2021},doi={10.1117/12.2580788},html={https://doi.org/10.1117/12.2580788},pdf={FEA_Full_Paper_Guha.pdf}}
SPIE
Unsupervised GAN-CIRCLE for high-resolution reconstruction of bone microstructure from low-resolution CT scans
Guha, Indranil,
Nadeem, Syed Ahmed,
Zhang, Xiaoliu,
Levy, Steven M.,
Torner, James C.,
and Saha, Punam K.
In Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging
2021
@inproceedings{10.1117/12.2581068,bibtex_show={true},abbr={SPIE},author={Guha, Indranil and Nadeem, Syed Ahmed and Zhang, Xiaoliu and Levy, Steven M. and Torner, James C. and Saha, Punam K.},title={{Unsupervised GAN-CIRCLE for high-resolution reconstruction of bone microstructure from low-resolution CT scans}},volume={11600},booktitle={Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging},editor={Gimi, Barjor S. and Krol, Andrzej},organization={International Society for Optics and Photonics},publisher={SPIE},pages={331 -- 341},keywords={GAN-CIRCLE, Unsupervised Training, High-resolution reconstruction, Trabecular bone Microstructure, osteoporosis},year={2021},doi={10.1117/12.2581068},html={https://doi.org/10.1117/12.2581068},pdf={SPIE_2021_DL_FINAL.pdf}}
2020
PMB
A comparative study of trabecular bone micro-structural measurements using different CT modalities
Guha, Indranil,
Klintström, Benjamin,
Klintström, Eva,
Zhang, Xiaoliu,
Smedby, Örjan,
Moreno, Rodrigo,
and Saha, Punam K
@article{guha2020comparative,bibtex_show={true},abbr={PMB},title={A comparative study of trabecular bone micro-structural measurements using different CT modalities},author={Guha, Indranil and Klintstr{\"o}m, Benjamin and Klintstr{\"o}m, Eva and Zhang, Xiaoliu and Smedby, {\"O}rjan and Moreno, Rodrigo and Saha, Punam K},journal={Physics in Medicine \& Biology},volume={65},number={23},pages={235029},year={2020},publisher={IOP Publishing},url={https://doi.org/10.1088/1361-6560/abc367},html={https://doi.org/10.1088/1361-6560/abc367},pdf={Guha_et_al_Compressed.pdf}}
SPIE
Deep learning based high-resolution reconstruction of trabecular bone microstructures from low-resolution CT scans using GAN-CIRCLE
Guha, Indranil,
Nadeem, Syed Ahmed,
You, Chenyu,
Zhang, Xiaoliu,
Levy, Steven M.,
Wang, Ge,
Torner, James C.,
and Saha, Punam K.
In Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
2020
@inproceedings{SPIE2020,bibtex_show={true},abbr={SPIE},author={Guha, Indranil and Nadeem, Syed Ahmed and You, Chenyu and Zhang, Xiaoliu and Levy, Steven M. and Wang, Ge and Torner, James C. and Saha, Punam K.},title={{Deep learning based high-resolution reconstruction of trabecular bone microstructures from low-resolution CT scans using GAN-CIRCLE}},volume={11317},booktitle={Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging},editor={Krol, Andrzej and Gimi, Barjor S.},organization={International Society for Optics and Photonics},publisher={SPIE},pages={204 -- 214},keywords={Low- to High-Resolution Image Reconstruction , Trabecular Bone Microstructures , Generative Adversarial Network, Cycle Consistency, GAN-CIRCLE},year={2020},doi={10.1117/12.2549318},url={https://doi.org/10.1117/12.2549318},html={https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085412/},pdf={113170U.pdf}}
2018
ISVC
A New Algorithm for Local Blur-Scale Computation and Edge Detection
@inproceedings{10.1007/978-3-030-03801-4_52,bibtex_show={true},abbr={ISVC},author={Guha, Indranil and Saha, Punam K.},editor={Bebis, George and Boyle, Richard and Parvin, Bahram and Koracin, Darko and Turek, Matt and Ramalingam, Srikumar and Xu, Kai and Lin, Stephen and Alsallakh, Bilal and Yang, Jing and Cuervo, Eduardo and Ventura, Jonathan},title={A New Algorithm for Local Blur-Scale Computation and Edge Detection},booktitle={Advances in Visual Computing},year={2018},publisher={Springer International Publishing},address={Cham},pages={598--606},isbn={978-3-030-03801-4},url={https://doi.org/10.1007/978-3-030-03801-4_52},html={https://link.springer.com/chapter/10.1007/978-3-030-03801-4_52},pdf={ICACNI_2016_paper_283.pdf}}
SPRINGER
Design of Cerebrovascular Phantoms Using Fuzzy Distance Transform-based Geodesic Paths
Guha, Indranil,
Das, Nirmal,
Rakshit, Pranati,
Nasipuri, Mita,
Saha, Punam K.,
and Basu, Subhadip
In Progress in Intelligent Computing Techniques: Theory, Practice, and Applications
2018
@inproceedings{10.1007/978-981-10-3373-5_36,bibtex_show={true},abbr={SPRINGER},author={Guha, Indranil and Das, Nirmal and Rakshit, Pranati and Nasipuri, Mita and Saha, Punam K. and Basu, Subhadip},editor={Sa, Pankaj Kumar and Sahoo, Manmath Narayan and Murugappan, M. and Wu, Yulei and Majhi, Banshidhar},title={Design of Cerebrovascular Phantoms Using Fuzzy Distance Transform-based Geodesic Paths},booktitle={Progress in Intelligent Computing Techniques: Theory, Practice, and Applications},year={2018},publisher={Springer Singapore},address={Singapore},pages={359--367},isbn={978-981-10-3373-5},url={https://link.springer.com/chapter/10.1007/978-981-10-3373-5_36},html={https://link.springer.com/chapter/10.1007/978-981-10-3373-5_36},pdf={Blur-Scale-ISVC.pdf}}
SPIE
Segmentation and assessment of structural plasticity of hippocampal dendritic spines from 3D confocal light microscopy
Basu, Subhadip,
Saha, Punam Kumar,
Baczynska, Ewa,
Roszkowska, Matylda,
Magnowska, Marta,
Das, Nirmal,
Guha, Indranil,
and Wlodarczyk, Jakub
In Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
2018
@inproceedings{10.1117/12.2292924,bibtex_show={true},abbr={SPIE},author={Basu, Subhadip and Saha, Punam Kumar and Baczynska, Ewa and Roszkowska, Matylda and Magnowska, Marta and Das, Nirmal and Guha, Indranil and Wlodarczyk, Jakub},title={{Segmentation and assessment of structural plasticity of hippocampal dendritic spines from 3D confocal light microscopy}},volume={10578},booktitle={Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging},editor={Gimi, Barjor and Krol, Andrzej},organization={International Society for Optics and Photonics},publisher={SPIE},pages={91 -- 99},keywords={Neuroimage analysis, Dendritic spine segmentation, Spine plasticity assessment, 3D segmentation and assessment, Confocal Light Microscopy},year={2018},doi={10.1117/12.2292924},html={https://doi.org/10.1117/12.2292924},pdf={SPIE_Final_Paper.pdf}}
2017
ICACNI
A semiautomatic approach for segmentation of carotid vasculature from patients’ CTA images
@article{guha2017semiautomatic,bibtex_show={true},abbr={ICACNI},title={A semiautomatic approach for segmentation of carotid vasculature from patients’ CTA images},author={Guha, Indranil and Das, Nirmal and Rakshit, Pranati and Nasipuri, Mita and Saha, Punam K and Basu, Subhadip},journal={Innovations in Systems and Software Engineering},volume={13},number={4},pages={243--250},year={2017},publisher={Springer},url={https://link.springer.com/article/10.1007/s11334-017-0289-y#citeas},html={https://link.springer.com/article/10.1007/s11334-017-0289-y#citeas},pdf={Guha2017_Article_ASemiautomaticApproachForSegme.pdf}}