Professor Luc Bidaut

Professor of Translational Imaging

Address:

Clinical Research Imaging Facility (CRIF)
c/o Clinical Research Centre (CRC)
James Arrott Drive
Ninewells Hospital & Medical School
Dundee
DD1 9SY

Phone Number:

+(44) 01382 383431

Email Address:

l.bidaut@dundee.ac.uk

Biography

Luc Bidaut moved to Dundee in July 2010 as Chair of Translational Imaging and Director of Imaging for the Centre of Oncology and Molecular Medicine (COMM). Soon thereafter, he created the Imaging & Technology Core Group (ITCG), a new multidisciplinary institutional construct to regroup most relevant entities and stakeholders under a common virtual umbrella. Following the restructuring of the School of Medicine and COMM, the ITCG eventually spun off the Division of Imaging & Technology, of which he was founding head (11/2011-06/2013). All the while, Prof. Bidaut also kept developing and leading the Clinical Research Imaging Facility (CRIF), a multidisciplinary mixed-role advanced imaging core entity with co-located high-end MRI and PET/CT scanners.

From January 2005 until July 2010, Luc Bidaut was the founding Director of the Image Processing and Visualization Laboratory (IPVL) at the University of Texas' M. D. Anderson Cancer Center (MDACC) in Houston, TX-USA. Additionally, he was the Head of the Scientific Computing Resource (SCR) and an Associate Professor in the Department of Imaging Physics.

Before coming to M. D. Anderson, Prof. Bidaut was Associate Attending/Professor in the Departments of Radiology and Medical Physics as well as the founding Technical Director for Advanced Imaging at Memorial Sloan-Kettering Cancer Center (MSKCC) in New York, NY-USA. Prior to that he was project leader and founding Director of the Laboratory of Functional and Multidimensional Imaging (LFMI) in the Departments of Radiology and Surgery at the University Hospitals in Geneva-Switzerland.

Previously, he was a co-founder and the Head of Instrumentation, Imaging and Data Processing for the PET and Biomedical Cyclotron center at the Free University's Erasme Hospital in Brussels-Belgium. For several years prior to that, he was R&D and Computer Scientist in the Division of Biophysics and Nuclear Medicine at the University of California in Los Angeles (UCLA), USA where he had moved after working on PET and SPECT R&D at the Service Hospitalier Frédéric Joliot (SHFJ) in Orsay-France.

Throughout his career in Europe and the US, Prof. Bidaut's main interests have centered on designing, developing, implementing and exploiting new tools, approaches, infrastructures and entities for extracting, combining, visualizing and maximizing the utility of information that can be collected from various medical modalities and sensors such as PET, SPECT, CT, MR, EEG, etc. These concepts - that can be defined in a nutshell as "advanced quantitative imaging" - span the whole spectrum of micro to animal to humans and are eminently relevant to research as well as to translational and clinical applications.

Research

Prof. Bidaut’s primary goals lie in the development, implementation and application of advanced quantitative imaging and visualization techniques. The related techniques and approaches apply to either or both clinical and research paradigms, whether for the diagnosis, assessment and characterization of disease, or to manage the many sides and ancillaries of therapy. Accordingly, Luc Bidaut's main objectives are to develop, implement and exploit sophisticated processing and imaging concepts beyond standard radiological review, and to provide a functional, image-based multidisciplinary gateway between research, translational and clinical applications.

Related efforts are principally directed towards furthering the understanding, application and exploitation of biomedical imaging in its broadest sense. Of primary importance is understanding what each imaging modality can bring to this compound concept, as well as determining the best way to extract and analyze all relevant information from the data at hand in order to present it accessibly to the end-users. The scope of this research includes the human, animal and even microscopic sides of biomedical imaging along with its clinical and research exploitation.

Central to this broad scope is the following non-exhaustive list of topics:

  • Advanced biomedical imaging
  • Multidimensional imaging and visualization
  • Image segmentation
  • Multimodality and hybrid imaging
  • Image registration and fusion
  • Image-guided therapy (e.g., protocols and devices)
  • Interventional planning and monitoring (e.g., radiology, surgery, MI, RT)
  • Quantitative/parametric imaging
  • Functional and Molecular imaging (e.g., positron emission tomography and others)
  • Modeling and simulation
  • Therapy follow-up and response assessment
  • Scientific visualization
  • High-Performance Visualization and Computing

Corollary to these core interests is the multidisciplinary strategizing and collaborations that are associated with implementing and furthering such concepts through the mixing of disciplines that do not traditionally interact with each other, and by fostering and pulling together resources that require complementary support from diverse entities. Other than for the sheer necessity of bundling up various types of expertise and technology to address efficiently the corresponding challenges, the multidisciplinarity of QAI is further boosted and justified by the multiple applications of this complex field, also well outside the purely biomedical realm. Such a versatility makes this field particularly well suited to both inter- and intra-entities collaborations and also to the promotion of core models suitable to address the diverse needs of a diverse community.

As overarching theme of Prof. Bidaut’s clinical interests, advanced quantitative imaging (QAI) is a concept that naturally lends itself to most aspects of disease characterization and therapy management - from diagnosis and therapy planning to delivery and response assessment -, and this especially for complex diseases such as cancer. In turn, QAI contributes to the overall advancement of biomedical imaging as a valid and fundamental component of new biomarkers. Clinical areas and disciplines of interest are ones that can either exploit or contribute to - either directly or indirectly - advanced imaging approaches and paradigms. Such areas include imaging modalities and protocols as well as the diagnosis and characterization of disease. They also include therapy and interventional planning along with guidance and response assessment for routine or trial treatment. While medical disciplines like radiology, surgery, oncology and radiation therapy are obvious consumers of the products of such approaches, other disciplines - including engineering, basic sciences and even art - are also crucial to furthering these concepts and broadening the scope of their applications.

Publications

Publications from 2008 onwards

Ahmad, S.;Aboumarzouk, O.; Cao, R.; Varghese, T.; Bidaut, L.; Nabi, G. Transrectal Quantitative Shear Wave Elastography in the Detection and Characterisation of Prostate Cancer. Surgical Endoscopy, 2013; 27(9):3280-3287.

Dalal, S.; Hui, D.; Bidaut, L; Lem, K.; Del Fabbro, E.; Crane, C.; Reyes-Gibby, C.C.; Bedi, D.; Bruera, E. Relationship between body mass index, longitudinal body-composition alterations and survival in locally advanced pancreatic cancer patients receiving chemoradiation. A pilot study. Journal of Pain and Symptom Management, 2012; 44(2):181-191.

Nishii, R.; Tong, W.; Wendt III, R.; Soghomonyan, S.; Mukhopadhyay, U.; Balatoni, J.; Mawlawi, O.; Bidaut, L.; Tinkey, P.; Borne, A.; Alauddin, M.; Gonzalez-Lepera, C.; Yang, B.; Gelovani, J.G. Pharmacokinetics, Metabolism, Biodistribution, Radiation Dosimetry, and Toxicology of 18F-Fluoroacetate ( 18F-FACE) in Non-human Primates. Molecular Imaging & Biology (MIB), 2012; 14(2):213-224.

Buys, T.P.H.; Cantor, S.B.; Guillaud, M.; Adler-Storthz, K.; Cox, D.D.; Okolo, C.; Arulogon, O.; Oladepo, O.; Basen-Engquist, K.; Shinn, E.; Yamal, J.-M.; Beck, J.R.; Scheurer, M.; van Niekerk, D.; Malpica, A.; Matisic, J.; Staerkel, G.; Atkinson, E.N.; Bidaut, L.; Lane, P.; Benedet, J.L.; Miller, D.; Ehlen, T.; Price, R.; Adewole, I.F.; MacAulay, C.; Follen, M. Optical Technologies and Molecular Imaging for Cervical Neoplasia: A Program Project Update. Gender Medicine, 2012; 9(1):S7-24.

Waugh, S.; Lerski, R.; Bidaut, L; Thompson, A. The influence of field strength and different clinical breast MRI protocols on the outcome of texture analysis using foam phantoms. Medical Physics, 2011; 38(9):5058-5066.

Schwartz, D.L.; Bankson, J.*; Bidaut, L.*; He, Y.; Williams, R.; Lemos, R.; Thitai-Kumar, A.; Oh, J.; Volgin, A.; Soghomonyan, S.; Yeh, H.-H.; Nishii, R.; Mukhopadhay, U.; Alauddin, M.; Mushkudiani, I.; Kuno, N.; Krishnan, S.; Bornman, W.; Lai, S.; Powis, G.; Hazle, J.; Gelovani, J. HIF-1 Dependent Stromal Adaptation to Ischemia Mediates In Vivo Tumor Radiation Resistance. Molecular Cancer Research, 2011; 9(3):259-270 (* both 2nd authors)

Garvey, P.B.; Selber, J.C.; Madewell, J.E.; Bidaut, L.; Feng, L.; Yu, P. A prospective study of preoperative CT angiography for head and neck reconstruction with anterolateral thigh flaps. Plastic and Reconstructive Surgery, 2011; 127(4):1505-1514.

Armato, S.G.; McLennan, G.; Bidaut, L.; McNitt-Gray, M.F.; Meyer, C.R.; Reeves, A.P.; Zhao, B.; Aberle, D.R.; Kazerooni, E.A.; MacMahon, H.; van Beek, E.J.R.; Yankelevitz, D.; Henschke, C.I.; Hoffman, E.A.; Bland, P.H.; Engelmann, R.M.; Laderach, G.E.; Max, D.; Pais, R.C.; Piker, C.W.; Qing, D.; Smith, A.; Starkey, A.; Towfic, Z.; Batra, P.; Caligiuri, P.; Jude, C.M.; Quint, L.E.; Sundaram, B.; Roberts, R.Y.; Croft, B.Y.; Clarke, L.P. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans. Medical Physics, 2011; 38(2):915-931.

Dickinson, R.L.; Erwin, W.D.; Stevens, D.M.; Bidaut, L.M.; Mar, M.V.; Macapinlac, H.A.; Wendt, R.E. III. Hybrid Modality Fusion of Planar Scintigrams and CT Topograms to Localize Sentinel Lymph Nodes in Breast Lymphoscintigraphy: Technical Description and Phantom Studies. International Journal of Molecular Imaging (IJMI), 2011; (online article ID 298102): 10 pages. doi:10.1155/2011/298102

Levin, V.A.; Bidaut, L.; Hou, P.; Kumar, A.J.; Wefel, J.S.; Bekele, B.N.; Prabhu, S.; Loghin, M.; Gilbert, M.R.; Jackson, E.F. Randomized double-blind placebo controlled trial of bevacizumab therapy for radiation necrosis of the CNS. Int J of Rad Onco Biol Phys (IJROBP/Red Journal), 2011; 79(5):1487-1495. (reviewed as "Must Read" by Faculty of 1000 - Medicine)

Hanasono, M.M.; Jacob, R.F.; Bidaut, L.; Robb, G.L.; Skoracki, R.J. Mid-Facial Reconstruction Using Virtual Planning, Rapid Prototype Modeling, and Stereotactic Navigation. Plastic & Reconstructive Surgery, 2010; 126(6):2002-2006.

Belousova, N.; Mikheeva, G.; Xiong, C.; Soghomonian, S.; Young, D.; Le Roux, L.; Naff, K.; Bidaut, L.; Wei, W.; Li, C.; Gelovani, J.; Li, C.; Krasnykh, V. Development of a targeted gene vector platform based on simian adenovirus serotype 24. Journal of Virology, 2010; 84(19):10087-10101.

Bidaut, L. Multimodality and advanced biomedical imaging for clinical and research applications. Proceedings of ASME 2010 - First Global Congress on NanoEngineering for Medicine and Biology; NEMB 2010:109-110.*

Wang, J.*; Zhang, S.*; Rabinovich, B.**; Bidaut, L.**; Soghomonyan, S.; Alauddin, M.M.; Bankson, J.A.; Shpall, E.; Willerson, J.T.; Gelovani, J.G.; Yeh, E.T.H. Human CD34+ Cells in Experimental Myocardial Infarction. Long-term Survival, Sustained Functional Improvement, and Mechanism of Action. Circulation Research, 2010; 106(12):1904-1911 (both *1st and **3rd authors, resp.)

Yang, W.T.; Le-Petross, C.H.; Bidaut, L. Advances in Diagnostic Imaging of Inflammatory Breast Cancer. In "Inflammatory Breast Cancer (IBC): The disease, the biology, the treatment." CA: A Cancer Journal for Clinicians, 2010; 60(6):351-375.

Tao, G.; Singh, A.; Bidaut, L. Liver segmentation through combined EM clustering and GVF level sets over registered multiphase CT data sets. Proceedings of SPIE-Medical Imaging 2010; 7623:(8 pages).*

Jackson, E.F.; Barboriak, D.P.; Bidaut, L.M.; Meyer, C.R. MR Assessment of Response to Therapy: Tumor Change Measurement, Truth Data, and Error Sources. Translational Oncology, 2009; 2(4):211-215.

McNitt-Gray, M.F.; Bidaut, L.M.; Armato, S.G. III; Meyer, C.R.; Gavrielides, M.A.; Fenimore, C.; McLennan, G.; Petrick, N.; Zhao, B.; Reeves, A.P.; Beichel, R.; Kim, H.-J. (G); Kinnard, L. CT Assessment of Response to Therapy: Tumor Volume Change Measurement, Truth Data & Error. Translational Oncology, 2009; 2(4):216-222.

Kinahan, P.E.; Doot, R.K.; Wanner, M.; Bidaut, L.M.; Armato, S.G. III; Meyer, C.R.; McLennan, G. PET/CT Assessment of Response to Therapy: Tumor Change Measurement, Truth Data & Error. Translational Oncology, 2009; 2(4):223-230.

Meyer, C.R.; Armato, S.G. III; Fenimore, C.P.; McLennan, G.; Bidaut, L.M.; Barboriak, D.P.; Gavrielides, M.A.; Jackson, E.F.; McNitt-Gray, M.F.; Kinahan, P.E.; Petrick, N.; Zhao, B. Quantitative Imaging to Assess Tumor Response to Therapy: Common Themes of Measurement, Truth Data & Error Sources. Translational Oncology, 2009; 2(4):198-210.

Lu, J.; Steeg, P.S.; Price, J.E.; Krishnamurthy, S.; Mani, S.; Reuben, J.; Cristofanilli, M.; Dontu, G.; Bidaut, L.; Valero, V.; Hortobagyi, G.N.; Yu, D. Breast Cancer Metastasis: Challenges and Opportunities. Cancer Research, 2009; 69(12):4951-4953.

Bligh, M.; Bidaut, L.; White, R.A.; Murphy, W.A.; Stevens, D.M.; Cody, D.D. Helical Multi-Detector Row Quantitative Computed Tomography (QCT) Precision. Academic Radiology, 2009; 16(2):150-159.

Armato, S.G.; Meyer, C.R.; Mcnitt-Gray, M.F.; McLennan, G.; Reeves, A.P.; Croft, B.Y.; Clarke, L.P.; RIDER Research Group [53 collaborators, incl. Bidaut, L.]. The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software. Clinical Pharmacology and Therapeutics, 2008; 84(4):448-56

Le-Petross, C.H.; Bidaut, L.; Yang, W.T. Evolving Role of Imaging Modalities in Inflammatory Breast Cancer. Seminars in Oncology, 2008; 35(1):51-63.

Armato, S.; Beichel, R.; Bidaut, L.; Clarke, L.; Croft, B.; Fenimore, C.; Gavrielides, M.; et al. RIDER (Reference Database to Evaluate Response) Committee Combined Report, 9/25/2008 - Sponsored by NIH, NCI, CIP, ITDB - Causes of and Methods for Estimating/Ameliorating Variance in the Evaluation of Tumor Change in Response to Therapy. NIH-NCI Cancer Imaging Program, 2008.

Conferences

  • Wei, C.; Lang, S.; Bidaut, L.; Ingram Doull, R.; Huang, Z.; Nabi, G. Computer Aided Image Analysis and Rapid Prototyping Molds Using Patient-Specific MRI Data For Reliable Comparison Between Imaging and Histopathology of Radical Prostatectomy Specimens. British Association of Urological Surgeons (BAUS) Section of Academic Urology Meeting; Robinson College - Cambridge, January 9, 2014.
  • Priba, L.; Gandy, S.J.; Martin, P.; Naby, G.; Ahmad, S.; Doull, R.; Bidaut, L. Diffusion and Dynamic Contrast Enhanced MRI for lesion detection and characterisation in males with suspected prostate cancer. SINAPSE ASM; Aberdeen, May 15, 2013.
  • Barrie, D.; Dundas, S.; Barlow, J.; Gardner, G.; Bidaut, L. PET/CT activity at Dundee's Clinical Research Imaging Facility (CRIF). SINAPSE ASM; Aberdeen, May 15, 2013.
  • Crowe, E.; Martin, P.; Cavin, I.; Gandy, S.; McFarlane, J.; Nicholas, R.; Waugh, S.; Lerski, R.; Priba, L.; Bidaut, L. Overview of clinical research studies carried out on the 3 Tesla MRI of Dundee's Clinical Research Imaging Facility (CRIF). SINAPSE ASM; Aberdeen, May 15, 2013.
  • Melzer, A.; Bidaut, L. MITOS Multimodality Imaging Operating System. Transcatheter Cardiovascular Therapeutics (TCT) 2012; Miami, October 22-26, 2012. Journal of the American College of Cardiology 60(17_S):335.
  • Waugh, S.; Lerski, R.; Bidaut, L.; Thompson, A. The use of texture analysis in identification and diagnosis of breast cancer on MRI images. UK Radiological Congress 2012; Manchester, June 25-27, 2012.
  • Waugh, S.; Lerski, R.; Bidaut, L.; Thompson, A. The use of texture analysis in the grading of breast cancer on MR images: preliminary findings. ISMRM 20th Scientific Meeting & Exhibition; Melbourne, May 5-11, 2012.
  • Waugh, S.; Lerski, R.; Bidaut, L.; Thompson, A. The use of texture analysis in breast magnetic resonance imaging: differentiation ductal and lobular carcinoma. ISMRM 20th Scientific Meeting & Exhibition; Melbourne, May 5-11, 2012.
  • Belousova, N.; Mikheeva, G.; Xiong, C.; Soghomonyan, S.; Bidaut, L.; Li, C.; Gelovani, J.G.; Krasnykh, V. Development of Targeted Gene Vectors for Tumor Imaging Based on Simian Adenovirus Serotype 24. World Molecular Imaging Congress 2010; Kyoto, September 8-11, 2010.
  • Armato, S.G.; McLennan, G.; McNitt-Gray, M.F.; Meyer, C.R.; Reeves, A.P.; Bidaut, L.; Zhao, B.; Croft, B.; Clarke, L.P. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Public Database of CT Scans for Lung Nodule Analysis. AAPM'2010; Philadelphia, July 18-22, 2010.
  • Hanasono, M.M.; Jacob, R.F.; Bidaut, L.; Skoracki, R.J. Complex Mid-Facial Reconstruction Using Virtual Planning, Rapid Prototype Modeling, and Stereotactic Navigation. Plastic Surgery Research Council 55th Annual Meeting; Monterey-CA, May 22-26, 2010. Plastic & Reconstructive Surgery, 2010; 125(6):38.
  • Tinkey, P.T.; Bidaut, L.; Borne, A. T.; Wright, K. A.; Stafford R. J.; Uthamanthil, R. K. Imaging Anatomy of the Laboratory Swine. American College of Laboratory Animal Medicine (ACLAM) 2010 Forum; Rhode Island, May 2-5, 2010.
  • Hanasono, M.M.; Jacob, R.F.; Bidaut, L.; Skoracki, R.J. Complex Mid-Facial Reconstruction Using Virtual Planning, Rapid Prototype Modeling, and Stereotactic Navigation. American Association of Plastic Surgeons 89th Annual Meeting; San Antonio, March 20-23, 2010.
  • Tao, G.; Singh, A.; Bidaut, L. Liver segmentation through combined EM clustering and GVF level sets over registered multiphase CT data sets. SPIE-Medical Imaging; San Diego, February 13-18, 2010.
  • Bidaut, L. Multimodality and advanced biomedical imaging for clinical and research applications. ASME 2010 - First Global Congress on NanoEngineering for Medicine and Biology; Houston, February 7-10, 2010.
  • Uthamanthil, R. K.; Bidaut, L.; Borne, A. T.; Wright, K. A.; Matin, S.; Ramirez, P.; Stafford, J.; Tinkey, P.T. Development of a multimedia teaching aid and comparative anatomy resources for advanced surgical training and research using a swine model. University of Texas - Academy of Health Science Education's 5th annual conference - Innovations in Health Science Education; Houston, February 5-6, 2009.
  • Armato, S.G.; Bidaut, L.; Zhao, B.; Salganicoff, M.; Shreter, U.; Clarke, L.P.; Croft, B.Y.; McLennan, G.; McNitt-Gray, M.F.; Meyer, C.R.; Reeves, A.P.; Aberle, D.R.; Kazerooni, E.A.; MacMahon, H.; van Beek, E. J.R.; Yankelevitz, D. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Reference Database for Thoracic CT Image Analysis Research. 94th Scientific Assembly and Annual Meeting of the RSNA; Chicago, November 30-December 5, 2008.
  • McNitt-Gray, M.F.; Heath, M.D.; Burns, R.; Bidaut, L.; Zhao, B.; Armato, S.G.; et al. Creation of a CXR database for the Image Database Resource Initiative (IDRI). 94th Scientific Assembly and Annual Meeting of the RSNA; Chicago, November 30-December 5, 2008.
  • Wang, J.; Rabinovich, B.; Bidaut, L.; Zhang, S.; Soghomonyan, S.; Gopalsamuthiram, V.; Alauddin, M.M.; Shpall, E.; Willerson, J.T.; Gelovani, J.G.; Yeh, E.T.H. Long-Term Multimodal Imaging of Human CD34-positive Cells Transplanted into the Mouse Heart Following Experimental Myocardial Infarction. World Molecular Imaging Congress 2008; Nice, September 10-13, 2008.
  • Stafford, J.; Taylor, B.; Bidaut, L.; Hazle, J. Fast chemical shift imaging technique for image-guided interventions. CARS 2008; Barcelona, June 25-28, 2008.
  • Bidaut, L.; Skoracki, R.; Jacob, R. Rapid prototyping of multimodality models for maxillo-facial surgery. CARS 2008; Barcelona, June 25-28, 2008.
  • Dalal, S.; Hui, D.; Bidaut, L.; Hess, K.; Crane, C.; Bruera, E. Gender based differences in the relationship between body composition alterations, as measured by computerized tomography (CT) imaging, and survival, in locally advanced pancreatic cancer (LAPC) receiving chemoradiation. Proceedings of Multinational Association of Supportive Care in Cancer (MASCC), Annual Meeting 2008; Houston, June 26-28, 2008. Journal of Supportive Care in Cancer, 16:#02-022.
  • Dalal, S.; Hui, D.; Bidaut, L.; Del Fabbro, E.; Reyes-Gibby, C.C.; Bedi, D.; Lem, K.; Hess, K.; Crane, C.; Bruera, E. Differential impact of changes in muscle tissue (MT) and adipose tissue (AT) on survival in men and women with locally advanced pancreatic cancer (LAPC) receiving chemoradiation (CRT). European Association for Palliative Care (EAPC) Annual Meeting 2008; Trondheim, Norway, May 29-31 2008 (#N-70).
  • Dalal, S.; Hui, D.; Bidaut, L.; Del Fabbro, E.; Reyes-Gibby, C.C.; Bedi, D.; Lem, K.; Hess, K.; Crane, C.; Bruera, E. Differential impact of changes in muscle tissue (MT) and adipose tissue (AT) on survival in men and women with locally advanced pancreatic cancer (LAPC) receiving chemoradiation (CRT). 2008 ASCO Annual Meeting; Chicago, May 30-June 3, 2008. Journal of Clinical Oncology, 26(15 suppl):#9640.