dosma.scan_sequences.QDess¶

class dosma.scan_sequences.QDess(dicom_path, load_path=None, **kwargs)[source]¶

qDESS MRI sequence.

Quantitative double echo in steady state (qDESS) is a high-resolution scan that consists of two echos (S1, S2) that has shown high efficacy for analytic \(T_2\) mapping. Because of its high resolution, qDESS has been shown to be a good candidate for automatic segmentation.

DOSMA supports both automatic segmentation and analytical T2 solving for qDESS scans. Automated segmentation uses pre-trained convolutional neural networks (CNNs).

References

B Sveinsson, AS Chaudhari, GE Gold, BA Hargreaves. A simple analytic method for estimating \(T_2\) in the knee from DESS. Magnetic Resonance in Medicine, 38:63-70 (2017). [link]

__init__(dicom_path, load_path=None, **kwargs)[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(dicom_path[, load_path])	Initialize self.
`calc_rms`()	Calculate root-mean-square (RMS) of two echos.
`cmd_line_actions`()	Provide command line information (such as name, help strings, etc) as list of dictionary.
`generate_t2_map`(tissue[, suppress_fat, …])	Generate 3D T2 map.
`get_dimensions`()	Get shape of volumes.
`load_data`(base_load_dirpath)	Load data from disk.
`save_data`(base_save_dirpath[, data_format])	Save data to disk.
`segment`(model, tissue[, use_rms])	Segment tissue in scan.

Attributes

NAME