References
[1]. A. M. Ali, A. A. Farag, and A. S. El-Baz, (2007). “Graph
cuts framework for kidney segmentation with prior shape
constraints,” in Proc. MICCAI, Vol. 10, pp. 384–392.
[2]. H. Abdelmunim, A. Farag, W. Miller, and M.
AboelGhar, (2008). “A kidney segmentation approach
from DCE-MRI using level sets,” in Proc. IEEE Comput. Soc.
Conf. CVPRW, pp. 1–6.
[3]. J. Milles, R. J. van der Geest, M. Jerosch-Herold, J. H.
Reiber, and B. P. Lelieveldt, (2008). “Fully automated
motion correction in first-pass myocardial perfusion MR
image sequences,” IEEE Trans. Med. Imag., Vol. 27, No.
11, pp. 1611–1621.
[4]. P. Shah and M. D. Gupta, (2012). “Simultaneous
registration and segmentation by l1 minimization,” in Machine Learning in Medical Imaging, Vol. 7588,
Springer-Verlag, pp. 128–135.
[5]. S. Parisot, H. Duffau, S. Chemouny, and N. Paragios,
(2012). “Joint tumor segmentation and dense
deformable registration of brain MR images,” in Proc. 15th
Int. Conf., MICCAI, Vol. 2, pp. 651–658.
[6]. H. Abdelmunim, A. Farag, W. Miller, and M.
AboelGhar, (2008). “A kidney segmentation approach
from DCE-MRI using level sets,” in Proc. IEEE Comput. Soc.
Conf., CVPRW, pp. 1–6.
[7]. G. Adluru, E. V. DiBella, and M. C. Schabel, (2006).
“Model-based registration for dynamic cardiac perfusion
MRI,” J. Magn. Reson.Imag., Vol. 24, No. 5, pp.
1062–1070.
[8]. L. Annet, L. Hermoye, F. Peeters, F. Jamar, J.-P.Dehoux,
and B. E. V. Beers, (2004). “Glomerular filtration rate:
Assessment with dynamic contrast-enhanced MRI and a
cortical-compartment model in the rabbit kidney,” J.
Magn. Reson. Imag., Vol. 20, No. 5, pp. 843–849.
[9]. G. Aubert and L. Vese, (1997). “A variational method in
image recovery,” SIAM J. Numer. Anal., Vol. 34, No. 5, pp.
1948–1979.
[10]. N. J. Bird, C. Peters, A. R. Michell, and A. M. Peters,
(2008). “Reproducibilities and responses to food intake of
GFR measured with chromium-51-EDTA andiohexol
simultaneously and independently in normal subjects,”
Nephrol. Dial. Transplant., Vol. 23, pp. 1902–1909.
[11]. A. Böttcher, (2000). “C*-algebras in numerical
analysis,” Irish Math. Soc. Bullet., Vol. 45, pp. 57–133.
[12]. W. L. Briggs, V. E. Henson, and S. F. McCormick,
(2000). A Multigrid Tutorial. Philadelphia, PA, USA: SIAM.
[13]. G. A. Buonaccorsi et al.,(2007). “Tracer kinetic
model-driven registration for dynamic contrastenhanced
MRI time-series data,” Magn. Reson. Med., Vol. 58, No. 5, pp. 1010–1019.
[14]. T. F. Chan and L. Vese, (2001). “Active contours
without edges, ”IEEE Trans. Image Process., Vol. 10, No. 2,
pp. 266–277.
[15]. T. F. Chan and J. Shen, (2005). Image Processing and
Analysis: Variational, PDE, Wavelet, and Stochastic
Methods. Philadelphia, PA, USA: SIAM.
[16]. H. L. M. Cheng and G. A. Wright, (2006). “Rapid highresolution
T1 mapping by variable flip angles: Accurate
and precise measurements in the presence of radio
frequency field in homogeneity,” Magn. Reson. Med., Vol.
55, No. 3, pp. 566–574.
[17]. E. Krutzén, S. E. Bäck, I. Nilsson-Ehle, and P. Nilsson-
Ehle, (1984). “Plasma clearance of a new contrast agent,
iohexol: A method for the assessment of glomerular
filtration rate,” J. Lab Clin. Med., Vol. 104, No. 6, pp.
955–961.
[18]. A. Yezzi, L. Zöllei, and T. Kapur, (2003). “A variational
framework for integrating segmentation and registration
through active contours,” Med. Image Anal., Vol. 7, No. 2,
pp. 171–185.
[19]. C. Zakkaroff, D. Magee1, A. Radjenovic, and R.
Boyle1, (2010). “Mediated spatiotemporal fusion of
multiple cardiac magnetic resonance datasets for
patient-specific perfusion analysis,” in Proc. Comput.
Cardiol., Vol. 37, pp. 469–472.
[20]. J. L. Zhang, H. Rusinek, H. Chandarana, and V. S.
Lee,(2013).“Functional MRI of the kidneys,” J. Magn.
Reson. Imag., Vol. 37, No. 2, pp. 282–293.
[21] S. T. Wong, Z. Xue, and K. Wong, (2010). “Joint
registration and segmentation of serial lung CT images for
image-guided lung cancer diagnosis and therapy,”
Comput. Med. Imag. Graph., Vol. 34, No. 1, pp. 55–60.