Dr. Kristy K. Brock Profile

Dr. Kristy K. Brock

Assistant Professor at Univ of Texas MD Anderson Cancer Ctr

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Publications (9)

PROCEEDINGS ARTICLE | March 19, 2018

Improvement of liver ablation treatment for colorectal liver metastases

Proc. SPIE. 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling

KEYWORDS: Oncology, Liver, Cancer, Tumors, Image registration, Colorectal cancer, Computed tomography, Error control coding, Model-based design, Lawrencium

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PROCEEDINGS ARTICLE | March 21, 2014

A hybrid biomechanical intensity based deformable image registration of lung 4DCT

Proc. SPIE. 9034, Medical Imaging 2014: Image Processing

KEYWORDS: Chest, Tumors, Tissues, Interfaces, Image registration, Lung, Finite element methods, Algorithm development, Motion models, Image-guided intervention

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PROCEEDINGS ARTICLE | February 27, 2010

Demons deformable registration for cone-beam CT guidance: registration of pre- and intra-operative images

Proc. SPIE. 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Neck, X-ray computed tomography, Detection and tracking algorithms, Tissues, Imaging systems, Distortion, Image registration, Head, Computed tomography, Reconstruction algorithms

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PROCEEDINGS ARTICLE | February 24, 2010

Biomechanical based image registration for head and neck radiation treatment

Proc. SPIE. 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Neck, Cancer, Tumors, 3D modeling, Image registration, Radiotherapy, Head, Finite element methods, Computed tomography, Rigid registration

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PROCEEDINGS ARTICLE | March 13, 2009

Effect of heterogeneous material of the lung on deformable image registration

Proc. SPIE. 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Chest, Tumors, Mechanics, Tissues, 3D modeling, Image registration, Lung, Finite element methods, Motion models, Lawrencium

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PROCEEDINGS ARTICLE | March 13, 2009

High-performance intraoperative cone-beam CT on a mobile C-arm: an integrated system for guidance of head and neck surgery

Proc. SPIE. 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling

KEYWORDS: Endoscopy, Image visualization, Neck, 3D acquisition, Surgery, Imaging systems, Video, Image registration, Head, 3D image processing

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PROCEEDINGS ARTICLE | March 21, 2007

Multimode C-arm fluoroscopy, tomosynthesis, and cone-beam CT for image-guided interventions: from proof of principle to patient protocols

Proc. SPIE. 6510, Medical Imaging 2007: Physics of Medical Imaging

KEYWORDS: X-ray computed tomography, Visualization, Surgery, Imaging systems, Sensors, Stereoscopy, Head, Image quality, Computed tomography, Image-guided intervention

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PROCEEDINGS ARTICLE | March 13, 2006

A multi-organ biomechanical model to analyze prostate deformation due to large deformation of the rectum

Proc. SPIE. 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images

KEYWORDS: Gold, Magnetic resonance imaging, Image registration, Radiotherapy, Finite element methods, Prostate, Computed tomography, Bladder, Natural surfaces, Rectum

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PROCEEDINGS ARTICLE | April 14, 2005

Nanoengineered multimodal contrast agent for medical image guidance

Proc. SPIE. 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images

KEYWORDS: Liver, Blood, Magnetic resonance imaging, Image registration, Medical imaging, Iodine, Kidney, Computed tomography, In vivo imaging, Gadolinium

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Multimodality imaging has gained momentum in radiation therapy planning and image-guided treatment delivery. Specifically, computed tomography (CT) and magnetic resonance (MR) imaging are two complementary imaging modalities often utilized in radiation therapy for visualization of anatomical structures for tumour delineation and accurate registration of image data sets for volumetric dose calculation. The development of a multimodal contrast agent for CT and MR with prolonged in vivo residence time would provide long-lasting spatial and temporal correspondence of the anatomical features of interest, and therefore facilitate multimodal image registration, treatment planning and delivery. The multimodal contrast agent investigated consists of nano-sized stealth liposomes encapsulating conventional iodine and gadolinium-based contrast agents. The average loading achieved was 33.5 ± 7.1 mg/mL of iodine for iohexol and 9.8 ± 2.0 mg/mL of gadolinium for gadoteridol. The average liposome diameter was 46.2 ± 13.5 nm. The system was found to be stable in physiological buffer over a 15-day period, releasing 11.9 ± 1.1% and 11.2 ± 0.9% of the total amounts of iohexol and gadoteridol loaded, respectively. 200 minutes following in vivo administration, the contrast agent maintained a relative contrast enhancement of 81.4 ± 13.05 differential Hounsfield units (ΔHU) in CT (40% decrease from the peak signal value achieved 3 minutes post-injection) and 731.9 ± 144.2 differential signal intensity (ΔSI) in MR (46% decrease from the peak signal value achieved 3 minutes post-injection) in the blood (aorta), a relative contrast enhancement of 38.0 ± 5.1 ΔHU (42% decrease from the peak signal value achieved 3 minutes post-injection) and 178.6 ± 41.4 ΔSI (62% decrease from the peak signal value achieved 3 minutes post-injection) in the liver (parenchyma), a relative contrast enhancement of 9.1 ± 1.7 ΔHU (94% decrease from the peak signal value achieved 3 minutes post-injection) and 461.7 ± 78.1 ΔSI (60% decrease from the peak signal value achieved 5 minutes post-injection) in the kidney (cortex) of a New Zealand white rabbit. This multimodal contrast agent, with prolonged in vivo residence time and imaging efficacy, has the potential to bring about improvements in the fields of medical imaging and radiation therapy, particularly for image registration and guidance.

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