1998
Hata, Nobuhiko; Morrison, Paul R.; Kettenbach, Joachim; Black, Peter McL; Kikinis, Ron; Jolesz, Ferenc A.
Computer-Assisted Intra-Operative Magnetic Resonance Imaging Monitoring of Interstitial Laser Therapy in the Brain: A Case Report Journal Article
In: JOURNAL OF BIOMEDICAL OPTICS, vol. 3, no. 3, pp. 304–311, 1998, ISSN: 1083-3668, 1560-2281, (Num Pages: 8 Place: Bellingham Publisher: Spie-Soc Photo-Optical Instrumentation Engineers Web of Science ID: WOS:000208968200011).
Abstract | Links | BibTeX | Tags:
@article{hata_computer-assisted_1998,
title = {Computer-Assisted Intra-Operative Magnetic Resonance Imaging Monitoring of Interstitial Laser Therapy in the Brain: A Case Report},
author = {Nobuhiko Hata and Paul R. Morrison and Joachim Kettenbach and Peter McL Black and Ron Kikinis and Ferenc A. Jolesz},
doi = {10.1117/1.429857},
issn = {1083-3668, 1560-2281},
year = {1998},
date = {1998-07-01},
journal = {JOURNAL OF BIOMEDICAL OPTICS},
volume = {3},
number = {3},
pages = {304–311},
abstract = {Hardware and software for a customized system to use magnetic resonance imaging (MRI) to noninvasively monitor laser-induced interstitial thermal therapy of brain tumors are reported. An open-configuration interventional MRI unit was used to guide optical fiber placement and monitor the deposition of laser energy into the targeted lesion. T1-weighted fast spin echo and gradient echo images were used to monitor the laser tissue interaction. The images were transferred from the MRI scanner to a customized research workstation and were processed intraoperatively. Newly developed software enabled rapid (27-221 ms) availability of calculated images. A case report is given showing images which reveal the laser-tissue interaction. The system design is feasible for on-line monitoring of interstitial laser therapy. (C) 1998 Society of Photo-Optical Instrumentation Engineers.},
note = {Num Pages: 8
Place: Bellingham
Publisher: Spie-Soc Photo-Optical Instrumentation Engineers
Web of Science ID: WOS:000208968200011},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hardware and software for a customized system to use magnetic resonance imaging (MRI) to noninvasively monitor laser-induced interstitial thermal therapy of brain tumors are reported. An open-configuration interventional MRI unit was used to guide optical fiber placement and monitor the deposition of laser energy into the targeted lesion. T1-weighted fast spin echo and gradient echo images were used to monitor the laser tissue interaction. The images were transferred from the MRI scanner to a customized research workstation and were processed intraoperatively. Newly developed software enabled rapid (27-221 ms) availability of calculated images. A case report is given showing images which reveal the laser-tissue interaction. The system design is feasible for on-line monitoring of interstitial laser therapy. (C) 1998 Society of Photo-Optical Instrumentation Engineers.
Young, G. S.; Silverman, S. G.; Kettenbach, J.; Hata, N.; Golland, P.; Jolesz, F. A.; Loughlin, K. R.; Kikinis, R.
Three-dimensional computed tomography for planning urologic surgery Journal Article
In: UROLOGIC CLINICS OF NORTH AMERICA, vol. 25, no. 1, pp. 103–+, 1998, ISSN: 0094-0143, 1558-318X, (Num Pages: 10 Place: Philadelphia Publisher: W B Saunders Co-Elsevier Inc Web of Science ID: WOS:000072455500011).
Abstract | Links | BibTeX | Tags:
@article{young_three-dimensional_1998,
title = {Three-dimensional computed tomography for planning urologic surgery},
author = {G. S. Young and S. G. Silverman and J. Kettenbach and N. Hata and P. Golland and F. A. Jolesz and K. R. Loughlin and R. Kikinis},
doi = {10.1016/S0094-0143(05)70437-7},
issn = {0094-0143, 1558-318X},
year = {1998},
date = {1998-02-01},
journal = {UROLOGIC CLINICS OF NORTH AMERICA},
volume = {25},
number = {1},
pages = {103–+},
abstract = {This article discusses the development of three-dimensional computed tomography (CT) for planning urologic surgery, current data rendering techniques, clinical studies to date (with emphasis on current developments), and future considerations for three-dimensional imaging.},
note = {Num Pages: 10
Place: Philadelphia
Publisher: W B Saunders Co-Elsevier Inc
Web of Science ID: WOS:000072455500011},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article discusses the development of three-dimensional computed tomography (CT) for planning urologic surgery, current data rendering techniques, clinical studies to date (with emphasis on current developments), and future considerations for three-dimensional imaging.
Hata, N.; Dohi, T.; Warfield, S.; Wells, W.; Kikinis, R.; Jolesz, F. A.
Multimodality deformable registration of pre- and intraoperative images for MRI-guided brain surgery Book Section
In: Wells, W. M.; Colchester, A.; Delp, S. (Ed.): MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI’98, vol. 1496, pp. 1067–1074, Springer-Verlag Berlin, Berlin, 1998, ISBN: 978-3-540-65136-9, (Conference Name: 1st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 98) ISSN: 0302-9743, 1611-3349 Num Pages: 8 Series Title: Lecture Notes in Computer Science Web of Science ID: WOS:000082115900115).
@incollection{hata_multimodality_1998,
title = {Multimodality deformable registration of pre- and intraoperative images for MRI-guided brain surgery},
author = {N. Hata and T. Dohi and S. Warfield and W. Wells and R. Kikinis and F. A. Jolesz},
editor = {W. M. Wells and A. Colchester and S. Delp},
isbn = {978-3-540-65136-9},
year = {1998},
date = {1998-01-01},
booktitle = {MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI'98},
volume = {1496},
pages = {1067–1074},
publisher = {Springer-Verlag Berlin},
address = {Berlin},
abstract = {A method by which to register multimodality medical images accommodating soft tissue deformation is presented in the context of interventional therapy with a MR scanner. Accuracy testing with arbitrarily deformed MR images and application studies of a pig's brain were undertaken to evaluate the feasibility of the method. When Mutual Information is employed as the voxel similarity measure in the matching energy function, the algorithm can accommodate multimodality images. Coupled with rigid registration, the deformable registration of pre- and intraoperative multi-modality images enables surgeons to precisely define critical anatomical structures, such as vessels and functional areas, and to localize and optimize trajectories. The method directly and automatically works on volumetric multimodality images. Thus the algorithm is suitable for intraoperative registration, where stability and simplicity are desirable.},
note = {Conference Name: 1st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 98)
ISSN: 0302-9743, 1611-3349
Num Pages: 8
Series Title: Lecture Notes in Computer Science
Web of Science ID: WOS:000082115900115},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
A method by which to register multimodality medical images accommodating soft tissue deformation is presented in the context of interventional therapy with a MR scanner. Accuracy testing with arbitrarily deformed MR images and application studies of a pig’s brain were undertaken to evaluate the feasibility of the method. When Mutual Information is employed as the voxel similarity measure in the matching energy function, the algorithm can accommodate multimodality images. Coupled with rigid registration, the deformable registration of pre- and intraoperative multi-modality images enables surgeons to precisely define critical anatomical structures, such as vessels and functional areas, and to localize and optimize trajectories. The method directly and automatically works on volumetric multimodality images. Thus the algorithm is suitable for intraoperative registration, where stability and simplicity are desirable.
1997
Hata, N.; Dohi, T.; Iseki, H.; Takakura, K.
Development of a frameless and armless stereotactic neuronavigation system with ultrasonographic registration Journal Article
In: NEUROSURGERY, vol. 41, no. 3, pp. 608–613, 1997, ISSN: 0148-396X, 1524-4040, (Num Pages: 6 Place: Cary Publisher: Oxford Univ Press Inc Web of Science ID: WOS:A1997XU97200055).
Abstract | Links | BibTeX | Tags:
@article{hata_development_1997,
title = {Development of a frameless and armless stereotactic neuronavigation system with ultrasonographic registration},
author = {N. Hata and T. Dohi and H. Iseki and K. Takakura},
doi = {10.1097/00006123-199709000-00020},
issn = {0148-396X, 1524-4040},
year = {1997},
date = {1997-09-01},
journal = {NEUROSURGERY},
volume = {41},
number = {3},
pages = {608–613},
abstract = {OBJECTIVE: We have developed a frameless stereotactic neuronavigation system that allows navigation during neurosurgical procedures through an image formed from integrating ultrasonography and preoperative magnetic resonance (MR) imaging and/or x-ray computed tomography. METHODS: The system consists of an ultrasound imaging scanner, a workstation with an image capture board, and an ultrasonic tracking sensor with a 5-MHz ultrasonographic transducer. The ultrasonic tracking sensor measures the position and orientation of the ultrasonographic transducer. The oblique plane of the MR/computed tomographic image corresponding to the ultrasound image is then displayed on the workstation monitor. A three-dimensional computer graphic representation of the integrated image is also reported as a preliminary test. For the patient-image registration, the coordinates of digitized and imaged markers on a specially developed reference frame are used, The reference frame is noninvasive because it is not bolted but only fastened to the patient's head with silicon. RESULTS: Based on the findings from the clinical application of the system in three cases, the system was advantageous because the surgical procedures could be controlled by intraoperative ultrasonography as well as by preoperative MR/computed tomographic images. Missing parts in the ultrasonogram were supplemented with preoperative MR/computed tomographic images. At other times, spatial positioning and visualization by ultrasonography were useful for identifying anatomical objects in the image, CONCLUSION: This preliminary study of the frameless integration of ultrasonography into stereotactic space demonstrated its clinical usefulness. We believe that the concept of pre-and intraoperative image-guided surgery presented here will find increasing use in the future.},
note = {Num Pages: 6
Place: Cary
Publisher: Oxford Univ Press Inc
Web of Science ID: WOS:A1997XU97200055},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
OBJECTIVE: We have developed a frameless stereotactic neuronavigation system that allows navigation during neurosurgical procedures through an image formed from integrating ultrasonography and preoperative magnetic resonance (MR) imaging and/or x-ray computed tomography. METHODS: The system consists of an ultrasound imaging scanner, a workstation with an image capture board, and an ultrasonic tracking sensor with a 5-MHz ultrasonographic transducer. The ultrasonic tracking sensor measures the position and orientation of the ultrasonographic transducer. The oblique plane of the MR/computed tomographic image corresponding to the ultrasound image is then displayed on the workstation monitor. A three-dimensional computer graphic representation of the integrated image is also reported as a preliminary test. For the patient-image registration, the coordinates of digitized and imaged markers on a specially developed reference frame are used, The reference frame is noninvasive because it is not bolted but only fastened to the patient’s head with silicon. RESULTS: Based on the findings from the clinical application of the system in three cases, the system was advantageous because the surgical procedures could be controlled by intraoperative ultrasonography as well as by preoperative MR/computed tomographic images. Missing parts in the ultrasonogram were supplemented with preoperative MR/computed tomographic images. At other times, spatial positioning and visualization by ultrasonography were useful for identifying anatomical objects in the image, CONCLUSION: This preliminary study of the frameless integration of ultrasonography into stereotactic space demonstrated its clinical usefulness. We believe that the concept of pre-and intraoperative image-guided surgery presented here will find increasing use in the future.
Berger, J. W.; Leventon, M. E.; Hata, N.; Wells, W.; Kikinis, R.
Augmented reality fundus biomicroscopy: Design considerations and prototype construction Journal Article
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, vol. 38, no. 4, pp. 1606–1606, 1997, ISSN: 0146-0404, (Num Pages: 1 Patent Number: 1 Place: Philadelphia Publisher: Lippincott-Raven Publ Web of Science ID: WOS:A1997WN18601603).
BibTeX | Tags:
@article{berger_augmented_1997,
title = {Augmented reality fundus biomicroscopy: Design considerations and prototype construction},
author = {J. W. Berger and M. E. Leventon and N. Hata and W. Wells and R. Kikinis},
issn = {0146-0404},
year = {1997},
date = {1997-03-01},
journal = {INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE},
volume = {38},
number = {4},
pages = {1606–1606},
note = {Num Pages: 1
Patent Number: 1
Place: Philadelphia
Publisher: Lippincott-Raven Publ
Web of Science ID: WOS:A1997WN18601603},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Berger, J. W.; Leventon, M. E.; Hata, N.; Wells, W.; Kikinis, R.
Design considerations for a computer-vision-enabled ophthalmic augmented reality environment Book Section
In: Troccaz, J.; Grimson, E.; Mosges, R. (Ed.): CVRMED-MRCAS’97: FIRST JOINT CONFERENCE – COMPUTER VISION, VIRTUAL REALITY AND ROBOTICS IN MEDICINE AND MEDICAL ROBOTICS AND COMPUTER-ASSISTED SURGERY, vol. 1205, pp. 399–408, Springer-Verlag Berlin, Berlin, 1997, ISBN: 978-3-540-62734-0, (Conference Name: 1st Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine / Medical Robotics and Computer-Assisted Surgery (CVRMed-MRCAS 97) ISSN: 0302-9743, 1611-3349 Num Pages: 10 Series Title: Lecture Notes in Computer Science Web of Science ID: WOS:A1997BJ58E00043).
@incollection{berger_design_1997,
title = {Design considerations for a computer-vision-enabled ophthalmic augmented reality environment},
author = {J. W. Berger and M. E. Leventon and N. Hata and W. Wells and R. Kikinis},
editor = {J. Troccaz and E. Grimson and R. Mosges},
isbn = {978-3-540-62734-0},
year = {1997},
date = {1997-01-01},
booktitle = {CVRMED-MRCAS'97: FIRST JOINT CONFERENCE - COMPUTER VISION, VIRTUAL REALITY AND ROBOTICS IN MEDICINE AND MEDICAL ROBOTICS AND COMPUTER-ASSISTED SURGERY},
volume = {1205},
pages = {399–408},
publisher = {Springer-Verlag Berlin},
address = {Berlin},
abstract = {We have initiated studies towards the design and implementation of an ophthalmic augmented reality environment in order to allow for a) more precise laser treatment for ophthalmic diseases, b) teaching, c) telemedicine, and d) real-time image measurement, analysis, and comparison. The proposed system is being designed around a standard slit-lamp biomicroscope. The microscope will be interfaced to a CCD camera, and the image sent to a video capture board. A single computer workstation will coordinate image capture, registration, and display. The captured image is registered with previously stored, montaged photographic and angiographic data, with superposition facilitated by fundus-landmark-based fast registration algorithms. The computer then drives a high intensity, VGA resolution video display with adjustable brightness and contrast attached to one of the oculars of the slitlamp biomicroscope. Preliminary studies with a modified binocular operating microscope interfaced to a Sun Ultral Workstation and an IBM-compatible PC demonstrates proof-of-principle. Robust, accurate fundus image montaging is accomplished with Hausdorff-distance-based methods. For photographic and angiographic data where the vessel gray levels vary from light to dark, and intensity-based correlation methods fail, image-preprocessing with smoothing, edge-detection, and thresholding facilitates registration. Non-real-time registration (similar to 0.4 - 4.0 CPU seconds) is achieved by non-optimized simple template matching (translation only, Matrox Inspector) or Hausdorff-distance-based (translation, rotation, and scale) algorithms performed on edge-detected fundus photographic and angiographic images, and on images of a model eye. Successful registration and image overlay of color, monochromatic, and angiographic images is demonstrated. To our knowledge, these studies represent the first investigation towards design and implementation of an ophthalmic augmented reality environment.},
note = {Conference Name: 1st Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine / Medical Robotics and Computer-Assisted Surgery (CVRMed-MRCAS 97)
ISSN: 0302-9743, 1611-3349
Num Pages: 10
Series Title: Lecture Notes in Computer Science
Web of Science ID: WOS:A1997BJ58E00043},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
We have initiated studies towards the design and implementation of an ophthalmic augmented reality environment in order to allow for a) more precise laser treatment for ophthalmic diseases, b) teaching, c) telemedicine, and d) real-time image measurement, analysis, and comparison. The proposed system is being designed around a standard slit-lamp biomicroscope. The microscope will be interfaced to a CCD camera, and the image sent to a video capture board. A single computer workstation will coordinate image capture, registration, and display. The captured image is registered with previously stored, montaged photographic and angiographic data, with superposition facilitated by fundus-landmark-based fast registration algorithms. The computer then drives a high intensity, VGA resolution video display with adjustable brightness and contrast attached to one of the oculars of the slitlamp biomicroscope. Preliminary studies with a modified binocular operating microscope interfaced to a Sun Ultral Workstation and an IBM-compatible PC demonstrates proof-of-principle. Robust, accurate fundus image montaging is accomplished with Hausdorff-distance-based methods. For photographic and angiographic data where the vessel gray levels vary from light to dark, and intensity-based correlation methods fail, image-preprocessing with smoothing, edge-detection, and thresholding facilitates registration. Non-real-time registration (similar to 0.4 – 4.0 CPU seconds) is achieved by non-optimized simple template matching (translation only, Matrox Inspector) or Hausdorff-distance-based (translation, rotation, and scale) algorithms performed on edge-detected fundus photographic and angiographic images, and on images of a model eye. Successful registration and image overlay of color, monochromatic, and angiographic images is demonstrated. To our knowledge, these studies represent the first investigation towards design and implementation of an ophthalmic augmented reality environment.
1996
Hata, N.; Wells, W. M.; Halle, M.; Nakajima, S.; Viola, P.; Kikinis, R.; Jolesz, F. A.
Image guided microscopic surgery system using mutual-information based registration Book Section
In: Hohne, K. H.; Kikinis, R. (Ed.): VISUALIZATION IN BIOMEDICAL COMPUTING, vol. 1131, pp. 317–326, Springer-Verlag Berlin, Berlin, 1996, ISBN: 978-3-540-61649-8, (Conference Name: 4th International Conference on Visualization in Biomedical Computing (VBC 96) ISSN: 0302-9743, 1611-3349 Num Pages: 10 Series Title: Lecture Notes in Computer Science Web of Science ID: WOS:A1996BH80E00040).
@incollection{hata_image_1996,
title = {Image guided microscopic surgery system using mutual-information based registration},
author = {N. Hata and W. M. Wells and M. Halle and S. Nakajima and P. Viola and R. Kikinis and F. A. Jolesz},
editor = {K. H. Hohne and R. Kikinis},
isbn = {978-3-540-61649-8},
year = {1996},
date = {1996-01-01},
booktitle = {VISUALIZATION IN BIOMEDICAL COMPUTING},
volume = {1131},
pages = {317–326},
publisher = {Springer-Verlag Berlin},
address = {Berlin},
abstract = {We have developed an image guided microscopic surgery system for the navigation of surgical procedures that can overlay renderings of anatomical structures that are otherwise invisible. A new histogram-based mutual information maximization technique was applied for alignment of the scope view and three-dimensional computer graphics model. This technique doesn't require any pre-processing nor marker setting but is directly applied to the microscope view and the graphics rendering. Therefore, any special set up in image scanning or preoperative preparation is not necessary. Graphics technique were implemented to compute three-dimensional scene information by using a graphics accelerator, increasing the algorithm's performance significantly. Experiments are presented that demonstrate the approach registering a plastic skull to its three-dimensional reconstruction model generated from a CT scan. The tracking performance in the experiments were nearly real-time.},
note = {Conference Name: 4th International Conference on Visualization in Biomedical Computing (VBC 96)
ISSN: 0302-9743, 1611-3349
Num Pages: 10
Series Title: Lecture Notes in Computer Science
Web of Science ID: WOS:A1996BH80E00040},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
We have developed an image guided microscopic surgery system for the navigation of surgical procedures that can overlay renderings of anatomical structures that are otherwise invisible. A new histogram-based mutual information maximization technique was applied for alignment of the scope view and three-dimensional computer graphics model. This technique doesn’t require any pre-processing nor marker setting but is directly applied to the microscope view and the graphics rendering. Therefore, any special set up in image scanning or preoperative preparation is not necessary. Graphics technique were implemented to compute three-dimensional scene information by using a graphics accelerator, increasing the algorithm’s performance significantly. Experiments are presented that demonstrate the approach registering a plastic skull to its three-dimensional reconstruction model generated from a CT scan. The tracking performance in the experiments were nearly real-time.