21.6.3 Brain Surgery

Chapter Contents (Back)
Brain. Surgery.

Hartkens, T., Hill, D.L.G., Castellano-Smith, A.D., Hawkes, D.J., Maurer, Jr., C.R., Martin, A.J., Hall, W.A., Liu, H., Truwit, C.L.,
Measurement and analysis of brain deformation during neurosurgery,
MedImg(22), No. 1, January 2003, pp. 82-92.
IEEE Top Reference. 0304

See also Registration of head volume images using implantable fiducial markers. BibRef

Finnis, K.W., Starreveld, Y.P., Parrent, A.G., Sadikot, A.F., Peters, T.M.,
Three-dimensional database of subcortical electrophysiology for image-guided stereotactic functional neurosurgery,
MedImg(22), No. 1, January 2003, pp. 93-104.
IEEE Top Reference. 0304
BibRef

Audette, M.A.[Michel A.], Siddiqi, K.[Kaleem], Ferrie, F.P.[Frank P.], Peters, T.M.[Terry M.],
An integrated range-sensing, segmentation and registration framework for the characterization of intra-surgical brain deformations in image-guided surgery,
CVIU(89), No. 2-3, February-March 2003, pp. 226-251.
Elsevier DOI 0304

See also High-quality cardiac image dynamic visualization with feature enhancement and virtual surgical tool inclusion. BibRef

Li, F.[Feng], Bartz, D.[Dirk], Gu, L.[Lixu], Audette, M.A.[Michel A.],
An iterative classification method of 2D CT head data based on statistical and spatial information,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Bourbakis, N.G., Awad, M.,
A 3-D visualization method for image-guided brain surgery,
SMC-B(33), No. 5, October 2003, pp. 766-781.
IEEE Abstract. 0310
BibRef

McLaughlin, R.A., Hipwell, J.H., Hawkes, D.J., Noble, J.A., Byrne, J.V., Cox, T.C.,
A Comparison of a Similarity-Based and a Feature-Based 2-D to 3-D Registration Method for Neurointerventional Use,
MedImg(24), No. 8, August 2005, pp. 1058-1066.
IEEE DOI 0508

See also Intensity-based 2-D-3-D registration of cerebral angiograms.
See also New Validation Method for X-ray Mammogram Registration Algorithms Using a Projection Model of Breast X-ray Compression, A. BibRef

Sun, H., Lunn, K.E., Farid, H., Wu, Z., Roberts, D.W., Hartov, A., Paulsen, K.D.,
Stereopsis-Guided Brain Shift Compensation,
MedImg(24), No. 8, August 2005, pp. 1039-1052.
IEEE DOI 0508
BibRef

Paul, P., Fleig, O., Jannin, P.,
Augmented Virtuality Based on Stereoscopic Reconstruction in Multimodal Image-Guided Neurosurgery: Methods and Performance Evaluation,
MedImg(24), No. 11, November 2005, pp. 1500-1511.
IEEE DOI 0512
BibRef

d'Haese, P.F., Cetinkaya, E., Konrad, P.E., Kao, C., Dawant, B.M.,
Computer-Aided Placement of Deep Brain Stimulators: From Planning to Intraoperative Guidance,
MedImg(24), No. 11, November 2005, pp. 1469-1478.
IEEE DOI 0512
BibRef

Wang, M.N.[Man-Ning], Song, Z.J.[Zhi-Jian],
Automatic localization of the center of fiducial markers in 3D CT/MRI images for image-guided neurosurgery,
PRL(30), No. 4, 1 March 2009, pp. 414-420.
Elsevier DOI 0903
Marker center localization; Image-guided neurosurgery; Image processing; Registration BibRef

Chowdhury, A.S.[Ananda S.], Bhandarkar, S.M.[Suchendra M.],
Computer Vision-Guided Virtual Craniofacial Surgery: A Graph-Theoretic and Statistical Perspective,
Springer2011, ISBN 978-0-85729-295-7
WWW Link. 1105
BibRef

Chowdhury, A.S., Bhandarkar, S.M., Tollner, E.W., Zhang, G., Yu, J.C., Ritter, E.W.,
A Novel Multifaceted Virtual Craniofacial Surgery Scheme Using Computer Vision,
CVBIA05(146-159).
Springer DOI 0601
BibRef

Chowdhury, A.S., Bhandarkar, S.M., Robinson, R.W., Yu, J.C.,
Virtual Craniofacial Reconstruction from Computed Tomography Image Sequences Exhibiting Multiple Fractures,
ICIP06(1173-1176).
IEEE DOI 0610
BibRef

Bhandarkar, S.M., Chowdhury, A.S., Tollner, E.W., Yu, J.C., Ritter, E.W., Konar, A.,
Surface Reconstruction for Computer Vision-Based Craniofacial Surgery,
WACV05(I: 257-262).
IEEE DOI 0502
BibRef

Mondal, T., Jain, A., Sardana, H.K.,
Automatic Craniofacial Structure Detection on Cephalometric Images,
IP(20), No. 9, September 2011, pp. 2606-2614.
IEEE DOI 1109
BibRef

Shamir, R.R., Joskowicz, L., Shoshan, Y.,
Fiducial Optimization for Minimal Target Registration Error in Image-Guided Neurosurgery,
MedImg(31), No. 3, March 2012, pp. 725-737.
IEEE DOI 1203
BibRef

Daga, P., Winston, G., Modat, M., White, M., Mancini, L., Cardoso, M.J., Symms, M., Stretton, J., McEvoy, A.W., Thornton, J., Micallef, C., Yousry, T., Hawkes, D.J., Duncan, J.S., Ourselin, S.,
Accurate Localization of Optic Radiation During Neurosurgery in an Interventional MRI Suite,
MedImg(31), No. 4, April 2012, pp. 882-891.
IEEE DOI 1204
BibRef

Mirota, D.J., Wang, H., Taylor, R.H., Ishii, M., Gallia, G.L., Hager, G.D.,
A System for Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery,
MedImg(31), No. 4, April 2012, pp. 963-976.
IEEE DOI 1204
BibRef

Leonard, S.[Simon], Sinha, A.[Ayushi], Reiter, A.[Austin], Ishii, M.[Masaru], Gallia, G.L.[Gary L.], Taylor, R.H.[Russell H.], Hager, G.D.[Gregory D.],
Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery onIn VivoClinical Data,
MedImg(37), No. 10, October 2018, pp. 2185-2195.
IEEE DOI 1810
Navigation, Surgery, Endoscopes, Computed tomography, Cavity resonators, Cameras, Navigation, in-vivo data BibRef

Mirota, D.J., Uneri, A., Schafer, S., Nithiananthan, S., Reh, D.D., Ishii, M., Gallia, G.L., Taylor, R.H., Hager, G.D., Siewerdsen, J.H.,
Evaluation of a System for High-Accuracy 3D Image-Based Registration of Endoscopic Video to C-Arm Cone-Beam CT for Image-Guided Skull Base Surgery,
MedImg(32), No. 7, 2013, pp. 1215-1226.
IEEE DOI 1307
computerised tomography BibRef

Hamamci, A., Kucuk, N., Karaman, K., Engin, K., Unal, G.,
Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications,
MedImg(31), No. 3, March 2012, pp. 790-804.
IEEE DOI 1203
BibRef

Bauer, S.[Stefan], Lu, H.X.[Huan-Xiang], May, C.P.[Christian P.], Nolte, L.P.[Lutz P.], Büchler, P.[Philippe], Reyes, M.[Mauricio],
Integrated segmentation of brain tumor images for radiotherapy and neurosurgery,
IJIST(23), No. 1, March 2013, pp. 59-63.
DOI Link 1303
BibRef

Sznitman, R.[Raphael], Richa, R.[Rogerio], Taylor, R.H.[Russell H.], Jedynak, B.[Bruno], Hager, G.D.[Gregory D.],
Unified Detection and Tracking of Instruments during Retinal Microsurgery,
PAMI(35), No. 5, May 2013, pp. 1263-1273.
IEEE DOI 1304
merge detection-based and local optimization approaches. BibRef

Sultana, S., Blatt, J.E., Gilles, B., Rashid, T., Audette, M.A.,
MRI-Based Medial Axis Extraction and Boundary Segmentation of Cranial Nerves Through Discrete Deformable 3D Contour and Surface Models,
MedImg(36), No. 8, August 2017, pp. 1711-1721.
IEEE DOI 1708
Brain modeling, Cranial, Deformable models, Image segmentation, Shape, Solid modeling, 3D contour models, Magnetic resonance imaging, brain, brainstem, deformable models, integration of multiscale information, nerves, segmentation, surgical guidance BibRef

Ravì, D., Fabelo, H., Callic, G.M., Yang, G.Z.,
Manifold Embedding and Semantic Segmentation for Intraoperative Guidance With Hyperspectral Brain Imaging,
MedImg(36), No. 9, September 2017, pp. 1845-1857.
IEEE DOI 1709
biological tissues, brain, cancer, hyperspectral imaging, image segmentation, semantic networks, stochastic processes, T-distributed stochastic neighbor approach, brain surgery, dimensionality reduction scheme, hyperspectral brain imaging, semantic texton forest, tissue classification, tumor classification map, Cancer, Hyperspectral imaging, Manifolds, Semantics, Tumors, Manifold embedding, brain cancer detection, hyperspectral imaging, semantic, segmentation BibRef

Rundo, L.[Leonardo], Militello, C.[Carmelo], Tangherloni, A.[Andrea], Russo, G.[Giorgio], Vitabile, S.[Salvatore], Gilardi, M.C.[Maria Carla], Mauri, G.[Giancarlo],
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique,
IJIST(28), No. 1, 2018, pp. 21-37.
DOI Link 1802
brain tumors, magnetic resonance imaging, necrosis extraction, neuro-radiosurgery treatments, unsupervised Fuzzy C-Means clustering BibRef

Izadyyazdanabadi, M.[Mohammadhassan], Belykh, E.[Evgenii], Mooney, M.[Michael], Martirosyan, N.[Nikolay], Eschbacher, J.[Jennifer], Nakaji, P.[Peter], Preul, M.C.[Mark C.], Yang, Y.Z.[Ye-Zhou],
Convolutional neural networks: Ensemble modeling, fine-tuning and unsupervised semantic localization for neurosurgical CLE images,
JVCIR(54), 2018, pp. 10-20.
Elsevier DOI 1806
Neural network, Unsupervised localization, Ensemble modeling, Brain tumor, Confocal laser endomicroscopy, Surgical vision BibRef

Avital, I., Nelkenbaum, I., Tsarfaty, G., Konen, E., Kiryati, N., Mayer, A.,
Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography,
MedImg(39), No. 5, May 2020, pp. 1655-1667.
IEEE DOI 2005
Fully convolutional neural networks, tractography, multi-modal segmentation, brain BibRef

Madapana, N., Gonzalez, G., Zhang, L., Rodgers, R., Wachs, J.,
Agreement Study Using Gesture Description Analysis,
HMS(50), No. 5, October 2020, pp. 434-443.
IEEE DOI 2009
Proposals, Measurement, Man-machine systems, Task analysis, Neurosurgery, Indexes, Gesture recognition, user centered design, gesture descriptors BibRef

Liu, B.X.[Bing-Xue], Wang, Y.C.[Yong-Chao], Fomin-Thunemann, N.[Natalie], Thunemann, M.[Martin], Kiliç, K.[Kivilcim], Devor, A.[Anna], Cheng, X.J.[Xiao-Jun], Tan, J.Y.[Ji-Yong], Jiang, J.[John], Boas, D.A.[David A.], Tang, J.B.[Jian-Bo],
Time-Lagged Functional Ultrasound for Multi-Parametric Cerebral Hemodynamic Imaging,
MedImg(43), No. 2, February 2024, pp. 638-648.
IEEE DOI 2402
Decorrelation, Ultrasonic imaging, Indexes, Blood, Doppler effect, Imaging, Hemodynamics, Functional ultrasound imaging, neurovascular coupling BibRef


Pan, S.Q.[Swee Qi], Yap, W.S.[Wun She], Zaki, F.M.[Faizah Mohd], Binti, S.A.[Shahizon Azura], Mukari, M.[Mohamed], Hum, Y.C.[Yan Chai], Lai, K.W.[Khin Wee], Kumar, R.K.A.[Ramesh Kumar Athi], Hamsan, S.K.[Siti Khadijah], Tee, Y.K.[Yee Kai],
Amide Proton Transfer Imaging for Gamma-knife Treatment Response in Human Brain Metastasis: A Preliminary Study,
ICIVC24(367-372)
IEEE DOI 2503
Protons, Magnetic resonance imaging, Surgery, Brain tumors, Metastasis, Planning, Prognostics and health management, APT MRI BibRef

Zhou, T.X.[Tong-Xue], Noeuveglise, A.[Alexandra], Ghazouani, F.[Fethi], Modzelewski, R.[Romain], Thureau, S.[Sébastien], Fontanilles, M.[Maxime], Ruan, S.[Su],
Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning,
ICPR22(4414-4419)
IEEE DOI 2212
Correlation, Transfer learning, Semantics, Surgery, Feature extraction, Loss measurement, Planning BibRef

Baby, B.[Britty], Chasmai, M.[Mustafa], Banerjee, T.[Tamajit], Suri, A.[Ashish], Banerjee, S.[Subhashis], Arora, C.[Chetan],
Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation,
ICIP22(4048-4052)
IEEE DOI 2211
Training, Representation learning, Instruments, Neural networks, Training data, Medical services, Quality assessment, action quality assessment BibRef

Fabijanska, A.[Anna], Weglinski, T.[Tomasz], Goclawski, J.[Jaroslaw], Mikolajczyk-Wieczorek, W.[Wanda], Zakrzewski, K.[Krzysztof], Nowoslawska, E.[Emilia],
Automatic Assessment of Skull Circumference in Craniosynostosis,
ICCVG14(179-186).
Springer DOI 1410
BibRef

Hoffmann, N.[Nico], Hollmach, J.[Julia], Schnabel, C.[Christian], Radev, Y.[Yordan], Kirsch, M.[Matthias], Petersohn, U.[Uwe], Koch, E.[Edmund], Steiner, G.[Gerald],
Wavelet Subspace Analysis of Intraoperative Thermal Imaging for Motion Filtering,
ICIAR14(II: 411-420).
Springer DOI 1410
in neurosurgery. BibRef

Xiao, H.[Hua], Dai, F.P.[Fei-Peng], Chen, X.L.[Xiao-Lan],
The Application of Three-Dimension Brain Atlas in the Surgery Planning,
CISP09(1-4).
IEEE DOI 0910
BibRef

Lee, J.J.[Jeong-Jin], Kim, N.[Namkug], Lee, H.[Ho], Kang, S.H.[Suk-Ho], Park, J.W.[Jae-Woo], Chang, Y.I.[Young-Il],
Automatic Skull Segmentation and Registration for Tissue Change Measurement After Mandibular Setback Surgery,
PSIVT06(322-331).
Springer DOI 0612
BibRef

Rivera-Rovelo, J., Bayro-Corrochano, E.,
Non-rigid registration and geometric approach for tracking in neurosurgery,
ICPR04(IV: 717-720).
IEEE DOI 0409
BibRef

Verbeeck, R., Vandermeulen, D., Michiels, J., Suetens, P., Marchal, G., Gybels, J., and Nuttin, B.,
Computer-Assisted Stereotaxic Neurosurgery,
IVC(11), No. 8, October 1993, pp. 468-485.
Elsevier DOI BibRef 9310

Grimson, W.E.L., Ettinger, G.J., Kapur, T., Leventon, M.E., Wells, III, W.M., Kikinis, R.,
Utilizing Segmented MRI Data in Image-Guided Surgery,
PRAI(10), 1996.
PS File. BibRef 9600

Ettinger, G.J., Leventon, M., Grimson, W.E.L., Kikinis, R., Gugino, L., Cote, W., Sprung, L., Aglio, L., Shenton, M., Potts, G., Alexander, E.,
Experimentation with a Transcranial Magnetic Stimulation System for Functional Brain Mapping,
MIA(2), No. 2, 1998, pp. 133-142.
PDF File. BibRef 9800

Ettinger, G.J., Grimson, W.E.L., Leventon, M.E., Kikinis, R., Gugino, V., Cote, W., Karapelou, M., Aglio, L., Shenton, M., Potts, G., Alexander, E.,
Non-Invasive Functional Brain Mapping Using Registered Transcranial Magnetic Simulation,
MMBIA96(REGISTRATION I) BibRef 9600

Peters, T., Davey, B., Munger, P., Comeau, R., Evans, A., Olivier, A.,
Three-dimensional multimodal image-guidance for neurosurgery,
MedImg(15), No. 2, April 1996, pp. 121-128.
IEEE Top Reference. 0203
BibRef

Adams, L., Knepper, A., Meyer-Ebrecht, D., Ruger, R., van der Brug, W.,
An Optical Navigator for Brain Surgery,
Computer(29), No. 1, January 1996, pp. 48-54. BibRef 9601

Westermann, B., Hauser, R.,
Noninvasive 3-D Patient Registration for Image-Guided Skull Base Surgery,
Computers&Graphics(20), No. 6, November/December 1996, pp. 793-799. 9701
BibRef

Fischl, B., Liu, A., Dale, A.M.,
Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex,
MedImg(20), No. 1, January 2001, pp. 70-80.
IEEE Top Reference. 0110
BibRef

Nowinski, W.L.[Wieslaw L.], Yang, G.L.[Guo Liang], Yeo, T.T.[Tseng Tsai],
Computer-aided stereotactic functional neurosurgery enhanced by the use of the multiple brain atlas database,
MedImg(19), No. 1, January 2000, pp. 62-69.
IEEE Top Reference. 0110
BibRef


Eskildsen, M.S.[Martin S.], Hansen, K.V.[Kim V.], Larsen, O.V.[Ole V.],
Region-of-Interest Based Finite Element Modelling of the Brain: An Approach to Brain-Surgery Simulation,
ICPR98(Vol I: 292-296).
IEEE DOI 9808
BibRef

Thurfjell, L., Greitz, T.,
A 3D Brain Atlas Used for Planning of Stereotactic Neurosurgery,
SSAB97(Medical) 9703
BibRef

Edwards, P.J., Hill, D.L.G., Hawkes, D.J., Spink, R., Colchester, A.C.F., Strong, A.J., Gleeson, M.,
Neurosurgical Guidance Using The Stereo Microscope,
CVRMed95(XX-YY) BibRef 9500

Zhao, J., Colchester, A.C.F., Henri, C.J., Hawkes, D.J., Ruff, C.,
Visualisation of Multimodal Images for Neurosurgical Planning and Guidance,
CVRMed95(XX-YY) BibRef 9500

Henri, C.J., Colchester, A.C.F., Zhao, J., Hawkes, D.J., Hill, D.L.G., Evans, R.L.,
Registration of 3-D Surface Data for Intra-Operative Guidance and Visualization in Frameless Stereotactic Neurosurgery,
CVRMed95(XX-YY) BibRef 9500

Dohi, T., Iseki, H., Takakura, K.,
Computer Aided Surgery (CAS) System for Stereotactic Neurosurgery,
CVRMed95(XX-YY) BibRef 9500

Yasuda, T., Yokoi, S., Toriwaki, J.I.,
A simulation system for brain and plastic surgeries using CT images,
ICPR88(II: 1282-1286).
IEEE DOI 8811
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
X-Ray Images, Radiography .


Last update:Oct 6, 2025 at 14:07:43