Dr. Jarrod A. Collins Profile

Dr. Jarrod A. Collins

Student - PHD

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Publications (14)

SPIE Journal Paper | 8 January 2024 Open Access

The Image-to-Physical Liver Registration Sparse Data Challenge: comparison of state-of-the-art using a common dataset

Jon Heiselman, Jarrod Collins, Morgan Ringel, T. Peter Kingham, William Jarnagin, Michael Miga

JMI, Vol. 11, Issue 01, 015001, (January 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.1.015001

KEYWORDS: Image registration, Deformation, Liver, Biomechanics, Deep learning, Rigid registration, Data modeling, Detection and tracking algorithms, Natural surfaces, Boundary conditions

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PurposeComputational methods for image-to-physical registration during surgical guidance frequently rely on sparse point clouds obtained over a limited region of the organ surface. However, soft tissue deformations complicate the ability to accurately infer anatomical alignments from sparse descriptors of the organ surface. The Image-to-Physical Liver Registration Sparse Data Challenge introduced at SPIE Medical Imaging 2019 seeks to characterize the performance of sparse data registration methods on a common dataset to benchmark and identify effective tactics and limitations that will continue to inform the evolution of image-to-physical registration algorithms.ApproachThree rigid and five deformable registration methods were contributed to the challenge. The deformable approaches consisted of two deep learning and three biomechanical boundary condition reconstruction methods. These algorithms were compared on a common dataset of 112 registration scenarios derived from a tissue-mimicking phantom with 159 subsurface validation targets. Target registration errors (TRE) were evaluated under varying conditions of data extent, target location, and measurement noise. Jacobian determinants and strain magnitudes were compared to assess displacement field consistency.ResultsRigid registration algorithms produced significant differences in TRE ranging from 3.8±2.4 mm to 7.7±4.5 mm, depending on the choice of technique. Two biomechanical methods yielded TRE of 3.1±1.8 mm and 3.3±1.9 mm, which outperformed optimal rigid registration of targets. These methods demonstrated good performance under varying degrees of surface data coverage and across all anatomical segments of the liver. Deep learning methods exhibited TRE ranging from 4.3±3.3 mm to 7.6±5.3 mm but are likely to improve with continued development. TRE was weakly correlated among methods, with greatest agreement and field consistency observed among the biomechanical approaches.ConclusionsThe choice of registration algorithm significantly impacts registration accuracy and variability of deformation fields. Among current sparse data driven image-to-physical registration algorithms, biomechanical simulations that incorporate task-specific insight into boundary conditions seem to offer best performance.

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Proceedings Article | 3 April 2023 Presentation + Paper

Comparison study of sparse data-driven soft tissue registration: preliminary results from the image-to-physical liver registration sparse data challenge

Jon Heiselman, Jarrod Collins, Morgan Ringel, William Jarnagin, Michael Miga

Proceedings Volume 12466, 124660M (2023) https://doi.org/10.1117/12.2655468

KEYWORDS: Deformation, Image registration, Liver, Rigid registration, Biomechanics, Data modeling, Reconstruction algorithms, Deep learning, Natural surfaces, Detection and tracking algorithms

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Proceedings Article | 3 April 2023 Presentation + Paper

Digital twin forecasting of microwave ablation via fat quantification image-to-grid computational methods

Frankangel Servin, Jarrod Collins, Jon Heiselman, Katherine Frederick-Dyer, Virginia Planz, Sunil Geevarghese, Daniel Brown, Michael Miga

Proceedings Volume 12466, 1246619 (2023) https://doi.org/10.1117/12.2655257

KEYWORDS: Ablation, Liver, Diseases and disorders, Materials properties, Data modeling, Thermal modeling, Microwave radiation, Tumor growth modeling, 3D modeling, Tumors

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SPIE Journal Paper | 20 May 2019

Multiphysics modeling toward enhanced guidance in hepatic microwave ablation: a preliminary framework

Jarrod Collins, Jon Heiselman, Logan Clements, Daniel Brown, Michael Miga

JMI, Vol. 6, Issue 02, 025007, (May 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.025007

KEYWORDS: Image registration, Antennas, Rigid registration, Microwave radiation, Data modeling, Tissues, Natural surfaces, Liver, Thermal modeling, Model-based design

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Proceedings Article | 8 March 2019 Presentation + Paper

The image-to-physical liver registration sparse data challenge

E. Lee Brewer, Logan Clements, Jarrod Collins, Derek Doss, Jon Heiselman, Michael Miga, Chris Pavas, Edward Wisdom

Proceedings Volume 10951, 109511F (2019) https://doi.org/10.1117/12.2513952

KEYWORDS: Liver, Image registration, Surgery, Computed tomography, Finite element methods, Computational modeling

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Proceedings Article | 12 March 2018 Presentation + Paper

Technical note: nonrigid registration for laparoscopic liver surgery using sparse intraoperative data

Jon Heiselman, Jarrod Collins, Logan Clements, Jared Weis, Amber Simpson, Sunil Geevarghese, T. Peter Kingham, William Jarnagin, Michael Miga

Proceedings Volume 10576, 105760D (2018) https://doi.org/10.1117/12.2295026

KEYWORDS: Laparoscopy, Liver, Natural surfaces, Surgery, Image registration, Data modeling, Image-guided intervention, Tissues, Rigid registration

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SPIE Journal Paper | 14 December 2017

Characterization and correction of intraoperative soft tissue deformation in image-guided laparoscopic liver surgery

Jon Heiselman, Logan Clements, Jarrod Collins, Jared Weis, Amber Simpson, Sunil Geevarghese, T. Peter Kingham, William Jarnagin, Michael Miga

JMI, Vol. 5, Issue 02, 021203, (December 2017) https://doi.org/10.1117/12.10.1117/1.JMI.5.2.021203

KEYWORDS: Laparoscopy, Liver, Natural surfaces, Data modeling, Surgery, Tissues, Image-guided intervention, Rigid registration, Error analysis, Data conversion

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Proceedings Article | 3 March 2017 Paper

Using an Android application to assess registration strategies in open hepatic procedures: a planning and simulation tool

Derek Doss, Jon Heiselman, Jarrod Collins, Jared Weis, Logan Clements, Sunil Geevarghese, Michael Miga

Proceedings Volume 10135, 101351Z (2017) https://doi.org/10.1117/12.2255976

KEYWORDS: Image registration, Surgery, Liver, Image-guided intervention, Natural surfaces, Soft tissue optics, Tissue optics, Optical tracking, Tissues, Image restoration, Tablets, Rigid registration, Data modeling, Gold, 3D modeling

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Proceedings Article | 3 March 2017 Paper

On the nature of data collection for soft-tissue image-to-physical organ registration: a noise characterization study

Jarrod Collins, Jon Heiselman, Jared Weis, Logan Clements, Amber Simpson, William Jarnagin, Michael Miga

Proceedings Volume 10135, 101351Y (2017) https://doi.org/10.1117/12.2255844

KEYWORDS: Image registration, Liver, Image-guided intervention, Surgery, Tissues, Rigid registration, Data acquisition, Data analysis, Data modeling, Data centers, Computed tomography

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Proceedings Article | 3 March 2017 Paper

Emulation of the laparoscopic environment for image-guided liver surgery via an abdominal phantom system with anatomical ligamenture

Jon Heiselman, Jarrod Collins, Logan Clements, Jared Weis, Amber Simpson, Sunil Geevarghese, William Jarnagin, Michael Miga

Proceedings Volume 10135, 101352W (2017) https://doi.org/10.1117/12.2255842

KEYWORDS: Laparoscopy, Image registration, Liver, Surgery, Image-guided intervention, Abdomen, Holography, Data acquisition, Rigid registration, Computed tomography

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SPIE Journal Paper | 23 March 2016

Evaluation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound

Logan Clements, Jarrod Collins, Jared Weis, Amber Simpson, Lauryn Adams, William Jarnagin, Michael Miga

JMI, Vol. 3, Issue 01, 015003, (March 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.1.015003

KEYWORDS: Liver, Natural surfaces, 3D modeling, Detection and tracking algorithms, Data modeling, Model-based design, Veins, Surgery, Optical tracking, Ultrasonography

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Proceedings Article | 18 March 2016 Paper

Characterization of a phantom setup for breast conserving cancer surgery

Jacob Chadwell, Rebekah Conley, Jarrod Collins, Ingrid Meszoely, Michael Miga

Proceedings Volume 9786, 97861Z (2016) https://doi.org/10.1117/12.2217039

KEYWORDS: Breast, Surgery, Therapeutics, Cancer, Breast cancer, Image registration, Image-guided intervention, Quantitative analysis, Magnetic resonance imaging, Tumors

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Proceedings Article | 18 March 2015 Paper

Validation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound: preliminary method and results

Logan Clements, Jarrod Collins, Yifei Wu, Amber Simpson, William Jarnagin, Michael Miga

Proceedings Volume 9415, 94150T (2015) https://doi.org/10.1117/12.2082940

KEYWORDS: Natural surfaces, Liver, 3D modeling, Detection and tracking algorithms, Data modeling, Surgery, Tissues, Navigation systems, Image-guided intervention, Ultrasonography

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Proceedings Article | 18 March 2015 Paper

Method for evaluation of predictive models of microwave ablation via post-procedural clinical imaging

Jarrod Collins, Daniel Brown, T. Peter Kingham, William Jarnagin, Michael Miga, Logan Clements

Proceedings Volume 9415, 94152F (2015) https://doi.org/10.1117/12.2082910

KEYWORDS: 3D modeling, Data modeling, Liver, Antennas, Microwave radiation, Tumors, Tissues, Radiofrequency ablation, Finite element methods, Animal model studies

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Showing 5 of 14 publications

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