Dr. Jochen Kruecker Profile

Dr. Jochen Kruecker

at Philips Research North America

SPIE Involvement:

Author

Publications (14)

Proceedings Article | 18 March 2015 Paper

Surface-based registration of liver in ultrasound and CT

Ehsan Dehghan, Kongkuo Lu, Pingkun Yan, Amir Tahmasebi, Sheng Xu, Bradford Wood, Nadine Abi-Jaoudeh, Aradhana Venkatesan, Jochen Kruecker

Proceedings Volume 9415, 941522 (2015) https://doi.org/10.1117/12.2082160

KEYWORDS: Liver, Image registration, Computed tomography, Ultrasonography, Image segmentation, Image fusion, Image enhancement, Image processing algorithms and systems, Skin, Binary data

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Proceedings Article | 17 February 2012 Paper

Automated microwave ablation therapy planning with single and multiple entry points

Sheena Liu, Sandeep Dalal, Jochen Kruecker

Proceedings Volume 8316, 831635 (2012) https://doi.org/10.1117/12.911316

KEYWORDS: Microwave radiation, Tumors, Tissues, Radiofrequency ablation, Thermal modeling, Skin, Cancer, Oncology, Manufacturing, Evolutionary algorithms

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Proceedings Article | 17 February 2012 Paper

Graph-based surface extraction of the liver using locally adaptive priors for multimodal interventional image registration

Samuel Kadoury, Bradford Wood, Aradhana Venkatesan, Roberto Ardon, James Jago, Jochen Kruecker

Proceedings Volume 8316, 83161O (2012) https://doi.org/10.1117/12.911363

KEYWORDS: Liver, Image segmentation, Image registration, Computed tomography, Ultrasonography, Diagnostics, Natural surfaces, Skin, 3D modeling, Tumors

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Proceedings Article | 17 February 2012 Paper

An elastic registration framework to estimate prostate deformation in endorectal MR scans

Muqing Lin, Vijay Parthasarathy, Harsh Agarwal, Peter Choyke, Baris Turkbey, Tobias Klinder, Jochen Kruecker

Proceedings Volume 8316, 831610 (2012) https://doi.org/10.1117/12.912353

KEYWORDS: Prostate, Image registration, Magnetic resonance imaging, Image segmentation, Biopsy, Rigid registration, Tissues, Ultrasonography, Image fusion, Natural surfaces

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Proceedings Article | 2 March 2011 Paper

Accuracy assessment of an automatic image-based PET/CT registration for ultrasound-guided biopsies and ablations

Samuel Kadoury, Bradford Wood, Aradhana Venkatesan, Sandeep Dalal, Sheng Xu, Jochen Kruecker

Proceedings Volume 7964, 79642P (2011) https://doi.org/10.1117/12.878067

KEYWORDS: Image registration, Computed tomography, Positron emission tomography, Biopsy, Image fusion, Ultrasonography, Radiofrequency ablation, Rigid registration, Skin, Accuracy assessment

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Proceedings Article | 24 February 2010 Paper

Segmenting TRUS video sequences using local shape statistics

Pingkun Yan, Sheng Xu, Baris Turkbey, Jochen Kruecker

Proceedings Volume 7625, 762514 (2010) https://doi.org/10.1117/12.844324

KEYWORDS: Image segmentation, Prostate, Video, Biopsy, Ultrasonography, Magnetic resonance imaging, Statistical modeling, Prostate cancer, Signal to noise ratio, Performance modeling

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Proceedings Article | 24 February 2010 Paper

Multi-parametric MRI-pathologic correlation of prostate cancer using tracked biopsies

Sheng Xu, Baris Turkbey, Jochen Kruecker, Pingkun Yan, Julia Locklin, Peter Pinto, Peter Choyke, Bradford Wood

Proceedings Volume 7625, 76252R (2010) https://doi.org/10.1117/12.844051

KEYWORDS: Magnetic resonance imaging, Biopsy, Prostate cancer, Prostate, Image fusion, Diffusion weighted imaging, Cancer, Biological research, Ultrasonography, Electromagnetism

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Proceedings Article | 13 March 2009 Paper

Optimal search guided by partial active shape model for prostate segmentation in TRUS images

Pingkun Yan, Sheng Xu, Baris Turkbey, Jochen Kruecker

Proceedings Volume 7261, 72611G (2009) https://doi.org/10.1117/12.811713

KEYWORDS: Image segmentation, Prostate, Ultrasonography, Magnetic resonance imaging, Computer programming, Statistical modeling, Biopsy, Signal to noise ratio, Video, Statistical analysis

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Proceedings Article | 17 March 2008 Paper

Evaluation of motion compensation approaches for soft tissue navigation

Jochen Krücker, Sheng Xu, Neil Glossop, William Pritchard, John Karanian, Alberto Chiesa, Bradford Wood

Proceedings Volume 6918, 691814 (2008) https://doi.org/10.1117/12.771040

KEYWORDS: Image registration, Motion models, Skin, Computed tomography, Data modeling, Tissues, Liver, Scanners, Ultrasonography, Navigation systems

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Proceedings Article | 17 March 2008 Paper

3D ultrasound guidance system for needle placement procedures

Sheng Xu, Jochen Kruecker, Hui Jiang, Scott Settlemier, Neil Glossop, Aradhana Venkatesan, Anthony Kam, Bradford Wood

Proceedings Volume 6918, 69180H (2008) https://doi.org/10.1117/12.769853

KEYWORDS: Ultrasonography, Sensors, Visualization, 3D image processing, Computed tomography, Calibration, Transducers, Optical tracking, Tumors, Electromagnetism

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Proceedings Article | 17 March 2008 Paper

Effects of sensor orientation on AC electromagnetic tracking system accuracy in a CT scanner environment

Eric Shen, Guy Shechter, Jochen Kruecker, Douglas Stanton

Proceedings Volume 6918, 691823 (2008) https://doi.org/10.1117/12.769510

KEYWORDS: Sensors, Computed tomography, Scanners, Distortion, Free space, Electromagnetism, Metals, Environmental sensing, Optical tracking, Auroras

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Proceedings Article | 21 March 2007 Paper

Fusion of real-time transrectal ultrasound with pre-acquired MRI for multi-modality prostate imaging

Jochen Krücker, Sheng Xu, Neil Glossop, Peter Guion, Peter Choyke, Iclal Ocak, Anurag Singh, Bradford Wood

Proceedings Volume 6509, 650912 (2007) https://doi.org/10.1117/12.710344

KEYWORDS: Prostate, Image registration, Magnetic resonance imaging, Ultrasonography, Image fusion, Biopsy, Image segmentation, 3D image processing, Sensors, Phase modulation

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A system for fusion of realtime transrectal ultrasound (TRUS) with pre-acquired 3D images of the prostate was designed and demonstrated in phantoms and volunteer patients. Biopsy guides for endocavity ultrasound transducers were equipped with customized 6 degree-of-freedom (DoF) electromagnetic (EM) tracking sensors, compatible with the Aurora EM tracking system (Northern Digital Inc, NDI, Waterloo, ON, Canada). The biopsy guides were attached to an ultrasound probe and calibrated to map tracking coordinates with ultrasound image coordinates. Six cylindrical gold seeds were placed in a prostate phantom to serve as fiducial markers. The fiducials were first identified manually in 3T magnetic resonance (MR) images collected with an endorectal coil. The phantom was then imaged with tracked realtime TRUS and the fiducial markers were identified in the live image using custom software. Rigid registrations between MR and ultrasound image space were computed and evaluated using subsets of the fiducial markers. Twelve patients were scanned with 3T MRI and TRUS for biopsy and seed placement. In ten patients, volumetric ultrasound images were reconstructed from 2D sweeps of the prostate and were manually registered with the MR. The rigid registrations were used to display live TRUS images fused with spatially corresponding realtime multiplanar reconstructions (MPRs) of the MR image volume. Registration accuracy was evaluated by segmenting the prostate in the MR and volumetric ultrasound and computing distance measures between the two segmentations. In the phantom experiments, registration accuracies of 2.2 to 2.3 mm were achieved. In the patient studies, the average root mean square distance between the MR and TRUS segmentations was 3.1 mm, the average Hausdorff distance was 9.8 mm. Deformation of the prostate during MR and TRUS scan was identified as the primary source of error. Realtime MR/TRUS image fusion is feasible and is a promising approach to improved target visualization during TRUS-guided biopsy or therapy procedures.

Proceedings Article | 21 March 2007 Paper

Real-time motion tracking using 3D ultrasound

Sheng Xu, Jochen Kruecker, Scott Settlemier, Bradford Wood

Proceedings Volume 6509, 65090X (2007) https://doi.org/10.1117/12.710263

KEYWORDS: Detection and tracking algorithms, Ultrasonography, 3D acquisition, 3D image processing, Transducers, Motion models, 3D modeling, Algorithm development, Optical tracking, Sensors

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Proceedings Article | 21 March 2007 Paper

Quantification of AC electromagnetic tracking system accuracy in a CT scanner environment

Eric Shen, Guy Shechter, Jochen Kruecker, Douglas Stanton

Proceedings Volume 6509, 65090L (2007) https://doi.org/10.1117/12.710836

KEYWORDS: Computed tomography, Scanners, Electromagnetism, Auroras, Optical tracking, Free space, Metals, Computing systems, Visualization, Sensors

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Showing 5 of 14 publications

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