Dr. Logan W. Clements Profile

Dr. Logan W. Clements

at Vanderbilt Univ

SPIE Involvement:

Author

Publications (30)

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

Read Abstract +

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

Read Abstract +

Proceedings Article | 8 March 2019 Paper

Quantitative imaging analysis to guide biopsy for molecular biomarkers

Derek Doss, Jon Heiselman, Ma Luo, Logan Clements, Michael Miga, Daniel Brown, Filip Banovac

Proceedings Volume 10951, 109512V (2019) https://doi.org/10.1117/12.2513588

KEYWORDS: Liver, Tumors, Image registration, Biopsy, Image segmentation, Liver cancer, Biological research, Rigid registration, Natural surfaces, Cancer

Read Abstract +

Although resection and transplantation are primary curative methods of treatment for hepatocellular carcinoma, many patients are not candidates. In these cases, other treatment methods such as selective internal radiation therapy, chemotherapy, or external beam radiation are used. While these treatments are effective, patient-specific customization of treatment could be beneficial. Recent advances in personalized medicine are making this possible, but often there are multiple phenotypes within a proliferating tumor. While not standard, one could envision a serial longitudinal biopsy approach with more phenotypically-targeted therapeutics if one could detect responding and non-responding regions of tumor over time. This work proposes a method to determine active regions of the tumor that differentially respond to treatment to better guide biopsy for longitudinal personalization of treatment. While PET may serve this purpose, it is not easily used for real-time image guidance, is not effective for many types of tumors, and can be confounded by inflammatory responses. In this work, ten total patients with imaging sequences from before and after treatment were retrospectively obtained. Five of these were selected for analysis based on the total liver volume change. A two-phase alignment process comprised of an intensity-based rigid registration followed by a nonrigid refining process driven by bulk deformation of the organ surface was performed. To assess the accuracy of the registration, two metrics were used for preliminary results. The mean closest point surface distance was used to quantify how well the surfaces of the registered livers match and was found to be 2.65±3.54mm. Anatomical features visible in pre- and post-treatment images were also identified. After registration, the mean Euclidean distance between features was found to be 5.22±4.06mm. To assess potential areas of tumor change, the registered tumor pre- and post-treatment were overlaid.

Proceedings Article | 8 March 2019 Presentation + Paper

A comprehensive model-assisted brain shift correction approach in image-guided neurosurgery: a case study in brain swelling and subsequent sag after craniotomy

Ma Luo, Sarah Frisken, Saramati Narasimhan, Logan Clements, Reid Thompson, Alexandra Golby, Michael Miga

Proceedings Volume 10951, 1095105 (2019) https://doi.org/10.1117/12.2512763

KEYWORDS: Brain, Neuroimaging, Magnetic resonance imaging, Surgery, Inverse problems, Finite element methods, Computational modeling, Image registration

Read Abstract +

Brain shift during neurosurgery can compromise the fidelity of image guidance and potentially lead to surgical error. We have developed a finite element model-based brain shift compensation strategy to correct preoperative images for improved intraoperative navigation. This workflow-friendly approach precomputes potential intraoperative deformations (a ‘deformation atlas’) via a biphasic-biomechanical-model accounting for brain deformation associated with cerebrospinal fluid drainage, osmotic agents, resection, and swelling. Intraoperatively, an inverse problem approach is employed to provide a combinatory fit from the atlas that best matches sparse intraoperative measurements. Subsequently, preoperative image is deformed accordingly to better reflect patient’s intraoperative anatomy. While we have performed several retrospective studies examining model’s accuracy using post- or intra-operative magnetic resonance imaging, one challenging task is to examine model’s ability to recapture shift due to the aforementioned effects independently with clinical data and in a longitudinal manner under varying conditions. The work here is a case study where swelling was observed at the initial stage of surgery (after craniotomy and dura opening), subsequently sag was observed in a later stage of resection. Intraoperative tissue swelling and sag were captured via an optically tracked stylus by identifying cortical surface vessel features (n = 9), and model-based correction was performed for these two distinct types of brain shift at different stages of the procedure. Within the course of the entire surgery, we estimate the cortical surface experienced a deformation trajectory absolute path length of approximately 19.4 ± 2.1 mm reflecting swelling followed by sag. Overall, model reduced swelling-induced shift from 7.3 ± 1.1 to 1.8 ± 0.5 mm (~74.6% correction); for subsequent sag movement, model reduced shift from 6.4 ± 1.5 to 1.4 ± 0.5 mm (~76.6% correction).

Proceedings Article | 13 March 2018 Presentation + Paper

A system for automatic monitoring of surgical instruments and dynamic non-rigid surface deformations in breast cancer surgery

Winona Richey, Ma Luo, Sarah Goodale, Logan Clements, Ingrid Meszoely, Michael Miga

Proceedings Volume 10576, 105761H (2018) https://doi.org/10.1117/12.2295221

KEYWORDS: Optical tracking, Stereoscopic cameras, Breast, Cameras, Surgery, Tumors, Breast cancer, Computer vision technology, Machine vision, Image registration

Read Abstract +

Proceedings Article | 13 March 2018 Presentation + Paper

Trackerless surgical image-guided system design using an interactive extension of 3D Slicer

Xiaochen Yang, Rohan Vijayan, Ma Luo, Logan Clements, Reid Thompson, Benoit Dawant, Michael Miga

Proceedings Volume 10576, 105761F (2018) https://doi.org/10.1117/12.2295229

KEYWORDS: Head, Tumors, 3D image processing, Optical tracking, Surgery, Image registration, Clouds, Magnetic resonance imaging, Visualization

Read Abstract +

Conventional optical tracking systems use cameras sensitive to near-infra-red (NIR) light detecting cameras and passively/actively NIR-illuminated markers to localize instrumentation and the patient in the operating room (OR) physical space. This technology is widely-used within the neurosurgical theatre and is a staple in the standard of care in craniotomy planning. To accomplish, planning is largely conducted at the time of the procedure with the patient in a fixed OR head presentation orientation. In the work presented herein, we propose a framework to achieve this in the OR that is free of conventional tracking technology, i.e. a trackerless approach. Briefly, we are investigating a collaborative extension of 3D slicer that combines surgical planning and craniotomy designation in a novel manner. While taking advantage of the well-developed 3D slicer platform, we implement advanced features to aid the neurosurgeon in planning the location of the anticipated craniotomy relative to the preoperatively imaged tumor in a physical-to-virtual setup, and then subsequently aid the true physical procedure by correlating that physical-to-virtual plan with a novel intraoperative MR-to-physical registered field-of-view display. These steps are done such that the craniotomy can be designated without use of a conventional optical tracking technology. To test this novel approach, an experienced neurosurgeon performed experiments on four different mock surgical cases using our module as well as the conventional procedure for comparison. The results suggest that our planning system provides a simple, cost-efficient, and reliable solution for surgical planning and delivery without the use of conventional tracking technologies. We hypothesize that the combination of this early-stage craniotomy planning and delivery approach, and our past developments in cortical surface registration and deformation tracking using stereo-pair data from the surgical microscope may provide a fundamental new realization of an integrated trackerless surgical guidance platform.

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

Read Abstract +

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

Read Abstract +

SPIE Journal Paper | 13 September 2017

Retrospective study comparing model-based deformation correction to intraoperative magnetic resonance imaging for image-guided neurosurgery

Ma Luo, Sarah Frisken, Jared Weis, Logan Clements, Prashin Unadkat, Reid Thompson, Alexandra Golby, Michael Miga

JMI, Vol. 4, Issue 03, 035003, (September 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.3.035003

KEYWORDS: Brain, Tumors, Magnetic resonance imaging, Model-based design, Performance modeling, Neuroimaging, Data modeling, Tissues, Inverse problems, Head

Read Abstract +

SPIE Journal Paper | 12 September 2017

Stereovision-based integrated system for point cloud reconstruction and simulated brain shift validation

Xiaochen Yang, Logan W. Clements, Ma Luo, Saramati Narasimhan, Reid Thompson, Benoit Dawant, Michael Miga

JMI, Vol. 4, Issue 03, 035002, (September 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.3.035002

KEYWORDS: Microscopes, Clouds, Calibration, Brain, Optical tracking, System integration, Cameras, Surgery, Tissues, Imaging systems

Read Abstract +

Proceedings Article | 3 March 2017 Paper

Integrated system for point cloud reconstruction and simulated brain shift validation using tracked surgical microscope

Xiaochen Yang, Logan Clements, Ma Luo, Saramati Narasimhan, Reid Thompson, Benoit Dawant, Michael Miga

Proceedings Volume 10135, 101352G (2017) https://doi.org/10.1117/12.2255777

KEYWORDS: Optical tracking, Clouds, Data modeling, System integration, Image-guided intervention, Microscopes, Brain, Imaging systems, Neuroimaging, Tissues, Calibration, Stars, Cameras, Computing systems

Read Abstract +

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

Read Abstract +

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

Read Abstract +

Proceedings Article | 3 March 2017 Presentation + Paper

Validation of model-based brain shift correction in neurosurgery via intraoperative magnetic resonance imaging: preliminary results

Ma Luo, Sarah Frisken, Jared Weis, Logan Clements, Prashin Unadkat, Reid Thompson, Alexandra Golby, Michael Miga

Proceedings Volume 10135, 1013503 (2017) https://doi.org/10.1117/12.2255845

KEYWORDS: Brain, Magnetic resonance imaging, Computational modeling, Surgery, Modeling and simulation, Tumors, Data modeling, Performance modeling, Medical imaging, Image quality

Read Abstract +

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

Read Abstract +

SPIE Journal Paper | 2 March 2017

Android application for determining surgical variables in brain-tumor resection procedures

Rohan Vijayan, Reid Thompson, Lola Chambless, Peter Morone, Le He, Logan Clements, Rebekah Griesenauer, Hakmook Kang, Michael Miga

JMI, Vol. 4, Issue 01, 015003, (March 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.1.015003

KEYWORDS: Head, Surgery, Tumors, Brain, 3D modeling, Tablets, Image registration, Neuroimaging, Image segmentation, Visualization

Read Abstract +

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

Read Abstract +

Proceedings Article | 18 March 2016 Paper

A novel craniotomy simulation system for evaluation of stereo-pair reconstruction fidelity and tracking

Xiaochen Yang, Logan Clements, Rebekah Conley, Reid Thompson, Benoit Dawant, Michael Miga

Proceedings Volume 9786, 978612 (2016) https://doi.org/10.1117/12.2217301

KEYWORDS: Imaging systems, Neuroimaging, Brain, Computer simulations, Surgery, Laser range finders, Microscopes, Device simulation, 3D metrology, Silicon, Cameras, Calibration, Lawrencium, Optical tracking, Clouds, 3D image processing

Read Abstract +

Proceedings Article | 18 March 2016 Paper

Determination of surgical variables for a brain shift correction pipeline using an Android application

Rohan Vijayan, Rebekah Conley, Reid Thompson, Logan Clements, Michael Miga

Proceedings Volume 9786, 978610 (2016) https://doi.org/10.1117/12.2216991

KEYWORDS: Brain, Head, Neuroimaging, 3D modeling, Tablets, Data acquisition, Surgery, Computer graphics, Process modeling, Tumors, Interfaces, Image registration

Read Abstract +

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

Read Abstract +

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

Read Abstract +

Proceedings Article | 3 March 2010 Paper

Model-updated image-guided liver surgery: preliminary results using intra-operative surface characterization

Prashanth Dumpuri, Logan Clements, Benoit Dawant, Michael Miga

Proceedings Volume 7625, 76251H (2010) https://doi.org/10.1117/12.844290

KEYWORDS: Liver, Surgery, Rigid registration, Image registration, Image-guided intervention, Laser range finders, Image segmentation, Detection and tracking algorithms, Computed tomography, Spatial filters

Read Abstract +

Proceedings Article | 13 March 2009 Paper

Comparison of pre/post-operative CT image volumes to preoperative digitization of partial hepatectomies: a feasibility study in surgical validation

Prashanth Dumpuri, Logan Clements, Rui Li, Jonathan Waite, James Stefansic, David Geller, Michael Miga, Benoit Dawant

Proceedings Volume 7261, 726122 (2009) https://doi.org/10.1117/12.813771

KEYWORDS: Liver, Surgery, Computed tomography, Tumors, Image segmentation, Visualization, Tissues, Natural surfaces, Image-guided intervention, 3D image processing

Read Abstract +

Proceedings Article | 26 March 2008 Paper

Adaptive directional region growing segmentation of the hepatic vasculature

Qingyang Shang, Logan Clements, Robert Galloway, William Chapman, Benoit Dawant

Proceedings Volume 6914, 69141F (2008) https://doi.org/10.1117/12.769565

KEYWORDS: Image segmentation, Veins, Liver, Image filtering, Computed tomography, Digital filtering, Image processing, Surgery, Image registration, Arteries

Read Abstract +

Proceedings Article | 22 March 2007 Paper

Atlas-based method for model updating in image-guided liver surgery

Logan Clements, Prashanth Dumpuri, William Chapman, Robert Galloway, Michael Miga

Proceedings Volume 6509, 650917 (2007) https://doi.org/10.1117/12.710496

KEYWORDS: Liver, Data modeling, Finite element methods, Tissues, Lawrencium, Tumors, Surgery, Image-guided intervention, Computer simulations, Natural surfaces

Read Abstract +

Proceedings Article | 22 March 2007 Paper

A computational approach to pre-align point cloud data for surface registration in image guided liver surgery

Ishita Garg, Logan Clements, Robert Galloway

Proceedings Volume 6509, 650932 (2007) https://doi.org/10.1117/12.709821

KEYWORDS: Liver, Image registration, Lawrencium, Clouds, Image-guided intervention, Surgery, Image segmentation, Computed tomography, Visualization, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 13 March 2006 Paper

Feasibility study for image guided kidney surgery: assessment of required intraoperative surface for accurate image to physical space registrations

Anne Benincasa, Logan Clements, S. Duke Herrell, Sam Chang, Michael Cookson, Robert Galloway

Proceedings Volume 6141, 61411U (2006) https://doi.org/10.1117/12.648427

KEYWORDS: Kidney, Lawrencium, Image registration, Surgery, Laparoscopy, Image-guided intervention, Natural surfaces, Computed tomography, Tissues, Image segmentation

Read Abstract +

Proceedings Article | 10 March 2006 Paper

Robust surface registration using salient anatomical features in image-guided liver surgery

Logan Clements, David Cash, William Chapman, Robert Galloway, Michael Miga

Proceedings Volume 6141, 61410E (2006) https://doi.org/10.1117/12.654209

KEYWORDS: Image registration, Liver, Lawrencium, Surgery, Computed tomography, Image segmentation, Image-guided intervention, Natural surfaces, Gold, Optical spheres

Read Abstract +

Proceedings Article | 29 April 2005 Paper

Semiautomatic segmentation of textured laser range scans for use in image-guided procedures

Logan Clements, David Cash, Tuhin Sinha, Robert Galloway

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595814

KEYWORDS: Image segmentation, Lawrencium, Volume rendering, Clouds, Data acquisition, 3D image processing, Liver, Algorithm development, Surgery, Image processing algorithms and systems

Read Abstract +

Proceedings Article | 5 May 2004 Paper

Platform for intraoperative analysis of video streams

Logan Clements, Robert Galloway

Proceedings Volume 5367, (2004) https://doi.org/10.1117/12.536155

KEYWORDS: Video, Video processing, Image processing, Endoscopy, Detection and tracking algorithms, Computing systems, Surgery, Real time imaging, Frame grabbers, Tissues

Read Abstract +

Showing 5 of 30 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years