Addendum: B-spline interpolation in medical image processing

IEEE Transactions on Medical Imaging

Volumn 20, Issue 7, 2001, Pages 660-665

  Lehmann, Thomas M ^a,b   Gönner, Claudia ^b   Spitzer, Klaus ^b  

^a IEEE   (Germany)

^b RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Aliasing; B splines; Image resampling; Interpolation

Indexed keywords

B-SPLINE INTERPOLATION; IMAGE RESAMPLING; INTERPOLATION ERROR;

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; ERROR ANALYSIS; FOURIER TRANSFORMS; GEOMETRY; IMAGE ANALYSIS; INTERPOLATION; POLYNOMIALS;

MEDICAL IMAGING;

ARTICLE; DIAGNOSTIC IMAGING; FOURIER ANALYSIS; IMAGE PROCESSING; METHODOLOGY;

DIAGNOSTIC IMAGING; FOURIER ANALYSIS; IMAGE PROCESSING, COMPUTER-ASSISTED;

EID: 0035384874     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.932749     Document Type: Article

References (10)

1. Survey: Interpolation methods in medical image processing
2. Splines-A perfect fit for signal and image processing
3. B-spline signal processing: Part I - Theory
4. B-spline signal processing: Part II - Efficient design and applications
5. Cardinal spline filters: Stability and convergence to the ideal sinc interpolator
6. Polynomial spline signal approximations: Filter design and asymptotic equivalence with shannon's sampling theorem
7. Convulotion-based interpolation for fast, high-quality rotation of images
8. Fast B-splines transforms for continuous image representation and interpolation
9. Quantitative Fourier analysis of approximation techniques: Part I - Interpolators and projectors