Ms. Rebekah H. Griesenauer Profile

Rebekah H. Griesenauer

at Vanderbilt Univ

SPIE Involvement:

Author

Publications (8)

SPIE Journal Paper | 8 February 2018

Toward quantitative quasistatic elastography with a gravity-induced deformation source for image-guided breast surgery

Rebekah H. Griesenauer, Jared A. Weis, Lori R. Arlinghaus, Ingrid M. Meszoely, Michael I. Miga

JMI, Vol. 5, Issue 01, 015003, (February 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.015003

KEYWORDS: Tissues, Breast, Magnetic resonance imaging, Surgery, Protactinium, Elastography, Image-guided intervention, Image registration, Tumors, Chest

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Proceedings Article | 3 March 2017 Presentation + Paper

Towards quantitative quasi-static elastography with a gravity-induced deformation source

Rebekah Griesenauer, Jared Weis, Lori Arlinghaus, Ingrid Meszoely, Michael Miga

Proceedings Volume 10135, 1013502 (2017) https://doi.org/10.1117/12.2255738

KEYWORDS: Breast, Tissues, Elastography, Magnetic resonance elastography, In vivo imaging, Breast cancer, Magnetic resonance imaging, Image registration, Surgery, Chest, Tumors, Protactinium

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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

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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 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

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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

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Proceedings Article | 12 March 2014 Paper

Registration of liver images to minimally invasive intraoperative surface and subsurface data

Yifei Wu, D. Rucker, Rebekah Conley, Thomas Pheiffer, Amber Simpson, Sunil Geevarghese, Michael Miga

Proceedings Volume 9036, 90360V (2014) https://doi.org/10.1117/12.2044250

KEYWORDS: Image registration, Data modeling, Liver, Laparoscopy, Natural surfaces, Surgery, Image segmentation, Tissues, Lawrencium, Computed tomography

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Proceedings Article | 12 March 2014 Paper

Image to physical space registration of supine breast MRI for image guided breast surgery

Rebekah Conley, Ingrid Meszoely, Thomas Pheiffer, Jared Weis, Thomas Yankeelov, Michael Miga

Proceedings Volume 9036, 90362N (2014) https://doi.org/10.1117/12.2043817

KEYWORDS: Breast, Tumors, Magnetic resonance imaging, Ultrasonography, Image registration, Surgery, Tissues, Clouds, Natural surfaces, Breast cancer

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Breast conservation therapy (BCT) is a desirable option for many women diagnosed with early stage breast cancer and involves a lumpectomy followed by radiotherapy. However, approximately 50% of eligible women will elect for mastectomy over BCT despite equal survival benefit (provided margins of excised tissue are cancer free) due to uncertainty in outcome with regards to complete excision of cancerous cells, risk of local recurrence, and cosmesis. Determining surgical margins intraoperatively is difficult and achieving negative margins is not as robust as it needs to be, resulting in high re-operation rates and often mastectomy. Magnetic resonance images (MRI) can provide detailed information about tumor margin extents, however diagnostic images are acquired in a fundamentally different patient presentation than that used in surgery. Therefore, the high quality diagnostic MRIs taken in the prone position with pendant breast are not optimal for use in surgical planning/guidance due to the drastic shape change between preoperative images and the common supine surgical position. This work proposes to investigate the value of supine MRI in an effort to localize tumors intraoperatively using image-guidance. Mock intraoperative setups (realistic patient positioning in non-sterile environment) and preoperative imaging data were collected from a patient scheduled for a lumpectomy. The mock intraoperative data included a tracked laser range scan of the patient's breast surface, tracked center points of MR visible fiducials on the patient's breast, and tracked B-mode ultrasound and strain images. The preoperative data included a supine MRI with visible fiducial markers. Fiducial markers localized in the MRI were rigidly registered to their mock intraoperative counterparts using an optically tracked stylus. The root mean square (RMS) fiducial registration error using the tracked markers was 3.4mm. Following registration, the average closest point distance between the MR generated surface nodes and the LRS point cloud was 1.76±0.502 mm.

Showing 5 of 8 publications

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