SDCC is a Freeware, retargettable, optimizing ANSI - C compiler that targets the Intel 8051, Maxim 80DS390, Zilog Z80 and the Motorola 68HC08 based MCUs. Work is in progress on supporting the Microchip PIC16 and PIC18 series. The entire source code for the compiler is distributed under GPL.

MRI simulation is an important counterpart to MRI acquisitions. Simulation is naturally suited to acquire theoretical understanding of the complex MR technology. It can be used as an educational tool in medical and technical environments. MRI simulation permits the investigation of artifact causes and effects. Likewise simulation may help in the development and optimization of MR sequences. Finally, with the increased interest in computer-aided MRI image analysis methods (segmentation, data fusion, quantization ...), an MRI simulator provides an interesting assessment tool since it generates 3D realistic images from medical virtual objects perfectly known.

In this context, we develop the SIMRI simulator. Based on the Bloch equations, it includes an efficient management of the T2* effect. It takes into account the main static field value and enables realistic simulations of the chemical shift artifact including off-resonance phenomena. It also simulates the artifacts linked to the static field inhomogeneity like those induced by susceptibility variation within an object. It is implemented in the C language and the MRI sequence programming is done using high level C functions with a simple programming interface. To manage large simulations, the magnetization kernel is implemented in a parallelized way that enables simulation on PC grid architecture. Furthermore, this simulator includes a 1D interactive interface for pedagogic purpose illustrating the magnetization vector motion as well as the MRI contrast.

It enables the simulation images taking into account B1 map.v

SUNDIALS was implemented with the goal of providing robust time integrators and nonlinear solvers that can easily be incorporated into existing simulation codes. The primary design goals were to require minimal information from the user, allow users to easily supply their own data structures underneath the solvers, and allow for easy incorporation of user-supplied linear solvers and preconditioners.

The main numerical operations performed in these codes are operations on data vectors, and the codes have been written in terms of interfaces to these vector operations. The result of this design is that users can relatively easily provide their own data structures to the solvers by telling the solver about their structures and providing the required operations on them. The codes also come with default vector structures with pre-defined operation implementations for both serial and distributed memory parallel environments in case a user prefers not to supply their own structures. In addition, all parallelism is contained within specific vector operations (norms, dot products, etc.) No other operations within the solvers require knowledge of parallelism. Thus, using a solver in parallel consists of using a parallel vector implementation, either the one provided with SUNDIALS, or the user's own parallel vector structure, underneath the solver. Hence, we do not make a distinction between parallel and serial versions of the codes.

TetGen generates the Delaunay tetrahedralization, Voronoi diagram, constrained Delaunay tetrahedralizations and quality tetrahedral meshes. The main goal of TetGen is to generate suitable meshes for solving partial differential equations by finite element or finite volume methods.

The Visualization ToolKit (VTK) is an open source, freely available software
system for 3D computer graphics, image processing, and visualization used by
thousands of researchers and developers around the world. VTK consists of a C++
class library, and several interpreted interface layers including Tcl/Tk, Java,
and Python.

The Visualization ToolKit (VTK) is an open source, freely available
software system for 3D computer graphics, image processing, and
visualization used by thousands of researchers and developers around
the world.

This package contains some example data for the Toolkit.

avr32 tool chain as provided by atmel