B. Nicolas Bloch, MD

Medical Director, MS Bioimaging Program
Associate Professor of Radiology
Chief, MR Imaging

Dr. Bloch has served as the Medical Director of the Bioimaging Program since December 2014. He is the Chief of MR Imaging at Boston Medical Center, and Associate Professor of Radiology at Boston University School of Medicine.
Dr. Bloch went to Medical School in Vienna, Austria, where he was born. After his internship and residency at the University of Tel Aviv, Tel Aviv Sourasky Medical Center, Israel (1999), and at the General Hospital Vienna, Medical University Vienna, Austria (2003), he was recruited to Harvard Medical School and Beth Israel Deaconess Medical Center in 2003, where he completed fellowships in MRI Research and Breast Imaging before becoming a staff member as Clinician Researcher at Beth Israel Medical Center and a faculty member as Instructor in Radiology at Harvard Medical School (2006).
In 2009 Dr. Bloch joined the Radiology Department at Boston University School of Medicine and Boston Medical Center, as Staff Radiologist in Breast Imaging and Body MRI (GU), and has served as the Director of MRI since 2010.
Dr. Bloch’s research interests include Breast and Prostate Imaging, MRI, Imaging Biomarkers, tumor genotype (imaging phenotype studies), Image guided interventions & treatment planning, and design & development of biopsy tools and treatment phantoms.
Dr. Bloch pioneered multiparametric Prostate MRI, 3T Prostate Imaging and MRI based prostate cancer treatment planning. In collaboration with the Weizmann Institute, he developed the first prostate CAD software. He was the first to report 3T endorectal coil Prostate MR. He has further extended the use of prostate MR to serious mechanistic-based scientific studies including one of the first prostate cancer imaging phenotype – tumor genotype studies. He has co-invented and patented a novel multimodal breast biopsy clip for which he and his colleagues received the Coulter award in 2011.
His contributions to diagnostic radiology, focusing mainly on prostate MRI and Breast Imaging, is documented in more than 40 peer-reviewed publications and have been cited more than 800 times by other investigators. To support his work, Dr. Bloch has garnered multiple industry and society grants, including two NIH grants as co-principle investigator.
As a clinician, Dr. Bloch has performed over 5000 prostate MR exams, including hundreds of out-of-state and international patients coming to him for prostate MR in Vienna, and later in Boston, and has trained many colleagues in Prostate MR in Europe and US.
Besides being a dedicated clinician-researcher, he is a devoted teacher in radiology and biomedical engineering, teaching residents, as well as mentoring PhD students and graduate students at Boston University, Rutgers, and Case Western University. These activities have also resulted in several publications. (Trainees are marked with * in the publication list below).

As the Medical Director of the MS Bioimaging Program, Dr. Bloch oversees the clinical aspects of the program. He is responsible for the clinical internships at the affiliated hospitals, and mentors MBI students during their clinical practica.

Publications:

1 *Buch KA, Qureshi MM, Carpentier B, Cunningham DA, Stone M, Jaffe C, Quinn M, Gonzalez C, LaVoye J, Hines N, Bloch BN. Surveillance of Probably Benign (BI-RADS 3) Lesions in Mammography: What Is The Right Follow-Up Protocol? Breast J. 2015 Mar; 21(2):168-74. 
View in: PubMed

2 *Wan T, Bloch BN, Danish S, Madabhushi A. A Learning Based Fiducial-driven Registration Scheme for Evaluating Laser Ablation Changes in Neurological Disorders. Neurocomputing. 2014 Nov 20; 144:24-37. 
View in: PubMed

3 *Buch K, Morancy T, Kaplan I, Qureshi MM, Hirsch AE, Rofksy NM, Holupka E, Oismueller R, Hawliczek R, Helbich TH, Bloch BN. Improved dosimetry in prostate brachytherapy using high resolution contrast enhanced magnetic resonance imaging: a feasibility study. J Contemp Brachytherapy. 2015 Jan; 6(4):337-43. 
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4 Rusu M, Bloch BN, Jaffe CC, Genega EM, Lenkinski RE, Rofsky NM, Feleppa E, Madabhushi A. Prostatome: a combined anatomical and disease based MRI atlas of the prostate. Med Phys. 2014 Jul; 41(7):072301. 
View in: PubMed

5 *Ginsburg SB, Viswanath SE, Bloch BN, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors. J Magn Reson Imaging. 2015 May; 41(5):1383-93. 
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6 Costa DN, Bloch BN, Yao DF, Sanda MG, Ngo L, Genega EM, Pedrosa I, DeWolf WC, Rofsky NM. Diagnosis of relevant prostate cancer using supplementary cores from magnetic resonance imaging-prompted areas following multiple failed biopsies. Magn Reson Imaging. 2013 Jul; 31(6):947-52. 
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7 Bubley GJ, Bloch BN, Vazquez C, Genega E, Holupka E, Rofsky N, Kaplan I. Accuracy of endorectal magnetic resonance/transrectal ultrasound fusion for detection of prostate cancer during brachytherapy. Urology. 2013 Jun; 81(6):1284-9. 
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8 *Rusu M, Bloch BN, Jaffe CC, Rofsky NM, Genega EM, Feleppa E, Lenkinski RE, Madabhushi A. Statistical 3D Prostate Imaging Atlas Construction via Anatomically Constrained Registration. Proc SPIE. 2013 Mar 13; 8669. 
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9 *Sparks R, Bloch BN, Feleppa E, Barratt D, Madabhushi A. Fully Automated Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Fusion via a Probabilistic Registration Metric. Proc Soc Photo Opt Instrum Eng. 2013 Mar 8; 8671. 
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10 *Rusu M, Bloch BN, Jaffe C, Rofsky N, Genega E, Lenkinski R, Madabhushi A. Statistical 3D Prostate Imaging Atlas Construction via Anatomically Constrained Registration. SPIE Medical Imaging. 2013; 866913-9.

11 *Sparks R, Feleppa E, Barratt D, Bloch BN, Madabhushi A. Fully Automated Prostate MRI and Transrectal Ultrasound(TRUS) Fusion via a Probabilistic Registration Metric. SPIE Medical Imaging. 2013; (March 8): doi: 10.1117/12.2007610.

12 *Ginsburg SB, Bloch BN, Rofsky NM, Genega E, Lenkinski RN, Madabhushi A. Iterative Multiple Reference Tissue Method for Estimating Pharmacokinetic Parameters on Prostate DCE MRI. SPIE Medical Imaging. 2013; 86701J-13. 


13 *Wan T, Bloch BN, Danish S, Madabhushi A. A Novel Point-based Nonrigid Image Registration Scheme Based on Learning Optimal Landmark Configurations. SPIE Medical Imaging. 2013; 866934-12; doi: 10.1117/12.200. 


14 Bloch BN, Genega EM, Costa DN, Pedrosa I, Smith MP, Kressel HY, Ngo L, Sanda MG, Dewolf WC, Rofsky NM. Prediction of prostate cancer extracapsular extension with high spatial resolution dynamic contrast-enhanced 3-T MRI. Eur Radiol. 2012 Oct; 22(10):2201-10. 
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15 *Viswanath SE, Bloch NB, Chappelow JC, Toth R, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery. J Magn Reson Imaging. 2012 Jul; 36(1):213-24. 
View in: PubMed

16 *Bulman JC, Toth R, Patel AD, Bloch BN, McMahon CJ, Ngo L, Madabhushi A, Rofsky NM. Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes. Radiology. 2012 Jan; 262(1):144-51. 
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17 *Toth R, Bloch BN, Genega EM, Rofsky NM, Lenkinski RE, Rosen MA, Kalyanpur A, Pungavkar S, Madabhushi A. Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI. Acad Radiol. 2011 Jun; 18(6):745-54. 
View in: PubMed

18 *Chappelow J, Bloch BN, Rofsky N, Genega E, Lenkinski R, DeWolf W, Madabhushi A. Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information. Med Phys. 2011 Apr; 38(4):2005-18. 
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19 *Viswanath S, Bloch BN, Chappelow J, Patel P, Rofsky N, Lenkinski R, Genega E, Madabhushi A. Enhanced Multi-Protocol Analysis via Intelligent Supervised Embedding (EMPrAvISE): Detecting Prostate Cancer on Multi-Parametric MRI. Proc Soc Photo Opt Instrum Eng. 2011 Mar 4; 7963:79630U. 
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20 *Xiao G, Bloch BN, Chappelow J, Genega EM, Rofsky NM, Lenkinski RE, Tomaszewski J, Feldman MD, Rosen M, Madabhushi A. Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Comput Med Imaging Graph. 2011 Oct-Dec; 35(7-8):568-78. 
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21 *Toth, R, Bulman, J, Patel, A, Bloch, BN, Genega, E, Rofsky, N, Lenkinski, R, Madabhushi, A. Integrating an Adaptive Region Based Appearance Model with a Landmark Free Statistical Shape Model: Application to Prostate MRI Segmentation. SPIE Medical Imaging. 2011; 7962. 


22 *Viswanath, S, Palumbo, D, Chappelow, J, Patel, P, A, Bloch, BN, Genega, E, Rofsky, N, Lenkinski, R, Madabhushi, A, . Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI. SPIE Medical Imaging. 2011; 7963. 


23 *Viswanath, S, Chappelow, J, Patel, P, A, Bloch, BN, Genega, E, Rofsky, N, Lenkinski, R, Madabhushi, A. Enhanced multiprotocol analysis via intelligent supervised embedding (EMPrAvISE) for prostate cancer detection on MRI. SPIE Medical Imaging. 2011; 7962. 


24 Keeling AN, Morrin MM, McKenzie C, Farrell RJ, Sheth SG, Ngo L, Bloch BN, Pedrosa I, Rofsky NM. Intravenous, contrast-enhanced MR colonography using air as endoluminal contrast agent: impact on colorectal polyp detection. Eur J Radiol. 2012 Jan; 81(1):31-8. 
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25 Eyal E, Bloch BN, Rofsky NM, Furman-Haran E, Genega EM, Lenkinski RE, Degani H. Principal component analysis of dynamic contrast enhanced MRI in human prostate cancer. Invest Radiol. 2010 Apr; 45(4):174-81. 
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26 *G Xiao, BN Bloch, J Chappelow, E Genega, N Rofsky, R Lenkinski, A Madabhushi. A structural-functional MRI-based disease atlas: application to computer-aided-diagnosis of prostate cancer. SPIE Medical Imaging. 2010; (762303-12):doi: 10.1117/12.845554. 


27 McMahon CJ, Bloch BN, Lenkinski RE, Rofsky NM. Dynamic contrast-enhanced MR imaging in the evaluation of patients with prostate cancer. Magn Reson Imaging Clin N Am. 2009 May; 17(2):363-83. 
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28 Viswanath S, Bloch BN, Rosen M, Chappelow J, Toth R, Rofsky N, Lenkinski R, Genega E, Kalyanpur A, Madabhushi A. Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol In Vivo 3 Tesla MRI. Proc Soc Photo Opt Instrum Eng. 2009 Feb 27; 7260:72603I. 
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29 *Viswanath S, Bloch BN, Rosen M, Chappelow J, Toth, R, Rofsky N, Lenkinski R, Genega E, Kalyanpur A, Madabhushi A. Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol in vivo 3 Tesla MRI. SPIE Medical Imaging. 2009; 7260.

30 *Chappelow, J, Bloch, BN, Rofsky, N, Genega, E, Lenkinski, R, DeWolf, W, Viswanath, S, Madabhushi, A. COLLINARUS: Collection of Image-derived Non-linear Attributes for Registration Using Splines. SPIE Medical Imaging. 2009; 7259. 


31 Morrin MM, Pedrosa I, McKenzie CA, Farrell RJ, Bloch N, Solazzo S, Ngo L, Goldberg SN, Rofsky NM. Parallel imaging enhanced MR colonography using a phantom model. J Magn Reson Imaging. 2008 Sep; 28(3):664-72. 
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32 Lenkinski RE, Bloch BN, Liu F, Frangioni JV, Perner S, Rubin MA, Genega EM, Rofsky NM, Gaston SM. An illustration of the potential for mapping MRI/MRS parameters with genetic over-expression profiles in human prostate cancer. MAGMA. 2008 Nov; 21(6):411-21. 
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33 Bloch BN, Lenkinski RE, Rofsky NM. The role of magnetic resonance imaging (MRI) in prostate cancer imaging and staging at 1.5 and 3 Tesla: the Beth Israel Deaconess Medical Center (BIDMC) approach. Cancer Biomark. 2008; 4(4-5):251-62. 
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34 *Viswanath S, Bloch BN, Genega E, Rofsky N, Lenkinski R, Chappelow J, Toth R, Madabhushi A. A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):662-9. 
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35 Bloch BN, Furman-Haran E, Helbich TH, Lenkinski RE, Degani H, Kratzik C, Susani M, Haitel A, Jaromi S, Ngo L, Rofsky NM. Prostate cancer: accurate determination of extracapsular extension with high-spatial-resolution dynamic contrast-enhanced and T2-weighted MR imaging–initial results. Radiology. 2007 Oct; 245(1):176-85. 
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36 Bloch BN, Lenkinski RE, Helbich TH, Ngo L, Oismueller R, Jaromi S, Kubin K, Hawliczek R, Kaplan ID, Rofsky NM. Prostate postbrachytherapy seed distribution: comparison of high-resolution, contrast-enhanced, T1- and T2-weighted endorectal magnetic resonance imaging versus computed tomography: initial experience. Int J Radiat Oncol Biol Phys. 2007 Sep 1; 69(1):70-8. 
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37 Rosen Y, Bloch BN, Lenkinski RE, Greenman RL, Marquis RP, Rofsky NM. 3T MR of the prostate: reducing susceptibility gradients by inflating the endorectal coil with a barium sulfate suspension. Magn Reson Med. 2007 May; 57(5):898-904. 
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38 Gaston SM, Soares MA, Siddiqui MM, Vu D, Lee JM, Goldner DL, Brice MJ, Shih JC, Upton MP, Perides G, Baptista J, Lavin PT, Bloch BN, Genega EM, Rubin MA, Lenkinski RE. Tissue-print and print-phoresis as platform technologies for the molecular analysis of human surgical specimens: mapping tumor invasion of the prostate capsule. Nat Med. 2005 Jan; 11(1):95-101. 
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39 Bloch BN, Rofsky NM, Baroni RH, Marquis RP, Pedrosa I, Lenkinski RE. 3 Tesla magnetic resonance imaging of the prostate with combined pelvic phased-array and endorectal coils; Initial experience(1). Acad Radiol. 2004 Aug; 11(8):863-7. 
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40 Bloch BN, Helbich T, Heinz-Peer G. [Prostatic carcinoma: current status of diagnostic imaging]. Wien Med Wochenschr Suppl. 2002; (113):89-91. 
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