Difference between revisions of "ITK/HDF5"

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==Protocol==
==Protocol==
===Typing===
With HDF5, everything is either a group or a dataset.
The actual ITK type must be stored as a string attribute called "Type" and must correspond to the RTTI typeinfo.
==Managing versions==
Each object must store its version in an attribute called "Version". The version is a string corresponding to the ITK version.


===Atomic objects===
===Atomic objects===
Line 38: Line 48:


====Index====
====Index====
This is stored as a 1D dataset of Dimension elements.
====Size====
====Size====
This is stored as a 1D dataset of Dimension elements.
====Point====
====Point====
This is stored as a 1D dataset of Dimension elements.
====Matrix====
====Matrix====
This is stored as a 2D dataset of Dimension elements.
====Vector====
====Vector====
This is stored as a 1D dataset of Dimension elements.


===Composite objects===
===Composite objects===


Composite objects are made of one or more atomic or composite objects. Each object is named in the same way it is named in the ITK classes, without the leading "m_".
Composite objects are store as groups in the HDF5 file and are made of one or more atomic or composite objects. Each object is named in the same way it is named in the ITK classes, without the leading "m_".
They are (generally?) stored as groups in the HDF5 files.


====Version====
====ImageRegion====
====ImageRegion====


Line 61: Line 79:
|}
|}


TODO: where do we store the Dimension of the ImageRegion?
The dimension of the Size and the Index must match.


TODO: Is it good enough to assume that it can be deduced from the dimension of the Index and of the Size?
====Histogram====


TODO: What to do when the Index and the Size dimensions mismatch?
TODO


====Histogram====
====ImageBase====
====ImageBase====


 
This is the storage of the class {{ITKDoxygenURL|ImageBase}}.
{| border="1"
{| border="1"
! Member !! Type !! Comment
! Member !! Type !! Comment
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|-
|-
| Direction || [[#Matrix | Matrix]] ||
| Direction || [[#Matrix | Matrix]] ||
|}
====Image====
This is the storage of the class {{ITKDoxygenURL|Image}}.
Image inherits the members of [[#ImageBase | ImageBase]] and adds its own members.
{| border="1"
! Member !! Type !! Comment
|-
| Pixels || TODO || which type should be used? a dataset directly? an atomic type?
|}
This is not a strict requirement, but images should be saved in chunks to allow them to be efficiently streamed (both read and write) and compressed.
The chunk size should be one on all the dimensions but x and y.
====LabelObjectLine====
This is the storage of the class {{ITKDoxygenURL|LabelObjectLine}}.
{| border="1"
! Member !! Type !! Comment
|-
| Index || [[#Index | Index]] ||
|-
| Length || unsigned integer || how do we describe this type?
|}
|}


====LabelObject====
====LabelObject====
This is the storage of the class {{ITKDoxygenURL|LabelObject}}.
{| border="1"
! Member !! Type !! Comment
|-
| Label || integer || how do we describe this type?
|-
| Lines || TODO || which type should be used? a group directly? an composite type?
|}
====LabelMap====
====LabelMap====
This is the storage of the class {{ITKDoxygenURL|LabelMap}}.
LabelMap inherits the members of [[#ImageBase | ImageBase]] and adds its own members.
{| border="1"
! Member !! Type !! Comment
|-
| LabelObjects || TODO || which type should be used? a group directly? an composite type?
|}
==Base path==
By default, the object of interest is stored in '''/ITK''', so it can be either a atomic (HDF5 dataset) or composite object (HDF5 group). Of course it is possible to access the objects by using another or a longer path. Some classes in ITK may not provide a way to change the path of the object of interest (for example HDF5ImageIO).

Latest revision as of 08:29, 27 April 2011

HDF5 file format and library

HDF5 is both a file format and a library dedicated to reading and writing files in that format.

According to Wikipedia, "HDF5 include only two major types of object:

  • Datasets, which are multidimensional arrays of a homogenous type
  • Groups, which are container structures which can hold datasets and other groups

This results in a truly hierarchical, filesystem-like data format. In fact, resources in an HDF5 file are even accessed using the POSIX-like syntax /path/to/resource. Metadata is stored in the form of user-defined, named attributes attached to groups and datasets. More complex storage APIs representing images and tables can then be built up using datasets, groups and attributes. In addition to these advances in the file format, HDF5 includes an improved type system, and dataspace objects which represent selections over dataset regions. The API is also object-oriented with respect to datasets, groups, attributes, types, dataspaces and property lists. Because it uses B-trees to index table objects, HDF5 works well for Time series data such as stock price series, network monitoring data, and 3D meteorological data. The bulk of the data goes into straightforward arrays (the table objects) that can be accessed much more quickly than the rows of a SQL database, but B-Tree access is available for non-array data. The HDF5 data storage mechanism can be simpler and faster than an SQL Star schema."

It is available in BSD-like license.

Use cases

ImageIO

(FromProposals:HDF5_ImageIO)

  • Chunking (streaming)
  • Multi-Resolution
  • Multi-Channel images
  • Large datasets ( Size > 4Gb )
  • Single experiment images of size 1024 x 1024 x 75 (XYZ), 2 channels, 1000 time-points
  • 8bit and 16bit
  • Images stored as 2D PNGs with filenames giving location
  • Need to support optimized reading (image streaming) of a sub-volume
  • Eg: Box filtering using a kernel of size 5x5x1x1x3
  • Cyclic buffer optimization in the ITK reader that keeps overlapping data and only reads new data
  • Multi-resolution images for heirarchical registration of multiple experimental sets
  • Compression is not as important in the short term but will be needed in the long term

TransformIO

Protocol

Typing

With HDF5, everything is either a group or a dataset.

The actual ITK type must be stored as a string attribute called "Type" and must correspond to the RTTI typeinfo.

Managing versions

Each object must store its version in an attribute called "Version". The version is a string corresponding to the ITK version.

Atomic objects

Atomic objects or unbreakable basic types. They are (generally?) stored as datasets in the HDF5 files.

Index

This is stored as a 1D dataset of Dimension elements.

Size

This is stored as a 1D dataset of Dimension elements.

Point

This is stored as a 1D dataset of Dimension elements.

Matrix

This is stored as a 2D dataset of Dimension elements.

Vector

This is stored as a 1D dataset of Dimension elements.


Composite objects

Composite objects are store as groups in the HDF5 file and are made of one or more atomic or composite objects. Each object is named in the same way it is named in the ITK classes, without the leading "m_".

ImageRegion

This is the storage of the class ImageRegion.

Member Type
Index Index
Size Size

The dimension of the Size and the Index must match.

Histogram

TODO

ImageBase

This is the storage of the class ImageBase.

Member Type Comment
Region ImageRegion This is the largest possible region shortened, because the different regions in itk::Image doesn't really make sense in a file storage.
Spacing Vector
Origin Point
Direction Matrix

Image

This is the storage of the class Image. Image inherits the members of ImageBase and adds its own members.

Member Type Comment
Pixels TODO which type should be used? a dataset directly? an atomic type?

This is not a strict requirement, but images should be saved in chunks to allow them to be efficiently streamed (both read and write) and compressed. The chunk size should be one on all the dimensions but x and y.

LabelObjectLine

This is the storage of the class LabelObjectLine.

Member Type Comment
Index Index
Length unsigned integer how do we describe this type?

LabelObject

This is the storage of the class LabelObject.

Member Type Comment
Label integer how do we describe this type?
Lines TODO which type should be used? a group directly? an composite type?

LabelMap

This is the storage of the class LabelMap. LabelMap inherits the members of ImageBase and adds its own members.

Member Type Comment
LabelObjects TODO which type should be used? a group directly? an composite type?

Base path

By default, the object of interest is stored in /ITK, so it can be either a atomic (HDF5 dataset) or composite object (HDF5 group). Of course it is possible to access the objects by using another or a longer path. Some classes in ITK may not provide a way to change the path of the object of interest (for example HDF5ImageIO).