Optimal gradient waveform design for projection imaging and projection reconstruction echoplanar spectroscopic imaging
نویسندگان
چکیده
منابع مشابه
Compressive Imaging: Hybrid Projection Design
Abstract: Compressive imaging/sensing employing a random measurement basis does not incorporate the specific object prior information available for natural images. An alternate hybrid measurement basis is proposed that yields improved reconstruction performance for natural images. ©2010 Optical Society of America OCIS codes: (110.1758) Computational imaging; (100.3020) Image reconstruction-rest...
متن کاملApplications of high-resolution echoplanar spectroscopic imaging for structural imaging.
Echoplanar spectroscopic imaging (EPSI) was introduced as a fast alternative for spectroscopic imaging and has been recently implemented on clinical scanners. With further advances in gradient hardware and processing strategies, EPSI can be used to obtain spectroscopic images whose spatial resolution parallels that of conventional anatomic images within clinically acceptable acquisition time. T...
متن کاملOptimal waveform design for array imaging
We introduce and analyze several algorithms for optimal illumination in array imaging. We consider time reversal and Kirchhoff migration imaging in homogeneous media, in regimes where the signal-to-noise ratio is high (infinite). Extensions to coherent interferometric imaging in clutter are described briefly. We show with numerical simulations that the optimal illumination algorithms image sele...
متن کاملHigh resolution projection reconstruction MR imaging using FOCUSS
This paper is concerned about high resolution reconstruction of projection reconstruction MR imaging from angular under-sampled k-space data. A similar problem has been recently addressed in the framework of compressed sensing theory. Unlike the existing algorithms used in compressed sensing theory, this paper employs the FOCal Underdetermined System Solver(FOCUSS), which was originally designe...
متن کاملQuasi Gradient Projection Algorithm for Sparse Reconstruction in Compressed Sensing
Compressed sensing is a novel signal sampling theory under the condition that the signal is sparse or compressible. The existing recovery algorithms based on the gradient projection can either need prior knowledge or recovery the signal poorly. In this paper, a new algorithm based on gradient projection is proposed, which is referred as Quasi Gradient Projection. The algorithm presented quasi g...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Magnetic Resonance in Medicine
سال: 1999
ISSN: 0740-3194,1522-2594
DOI: 10.1002/(sici)1522-2594(199904)41:4<664::aid-mrm4>3.3.co;2-e