ObservedShell¶
from mcot.dippi.scan import ObservedShell
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class
mcot.dippi.scan.ObservedShell(gradients: numpy.ndarray, scanner: mcot.dippi.scan.Scanner = <factory>, bval: float = 3.0, dual_echo: bool = True, t_phase: float = 30, b0_dir: numpy.ndarray = array([0., 0., 1.]), b0_group: int = 0, TE1: float = 80, TE2: float = 120)[source]¶ Represents an shell of actual observed data
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__init__(gradients: numpy.ndarray, scanner: mcot.dippi.scan.Scanner = <factory>, bval: float = 3.0, dual_echo: bool = True, t_phase: float = 30, b0_dir: numpy.ndarray = array([0., 0., 1.]), b0_group: int = 0, TE1: float = 80, TE2: float = 120) → None¶ Initialize self. See help(type(self)) for accurate signature.
Inheritance diagram

Methods
from_dict(kvs, *[, infer_missing])from_json(s, *[, parse_float, parse_int, …])schema(*[, infer_missing, only, exclude, …])spherical_harmonics(lmax[, odd])to_dict([encode_json])to_json(*[, skipkeys, ensure_ascii, …])Attributes
TE1Time of second spin echo in ms
TE2b0_dirGive each shell that should be considered a different orientation a different b0_group
b0_groupTime of first spin echo in ms
bvalWhether to add a second refocus pulse
dataclass_json_configdual_echotime of phase accumulation
ngradientsreadout1Time of first readout in ms
readout2Time of second readout in ms
t_phasedirection of the B0 field
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from_dict¶
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classmethod
ObservedShell.from_dict(kvs: Optional[Union[dict, list, str, int, float, bool]], *, infer_missing=False) → A¶
from_json¶
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classmethod
ObservedShell.from_json(s: Union[str, bytes, bytearray], *, parse_float=None, parse_int=None, parse_constant=None, infer_missing=False, **kw) → A¶
schema¶
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classmethod
ObservedShell.schema(*, infer_missing: bool = False, only=None, exclude=(), many: bool = False, context=None, load_only=(), dump_only=(), partial: bool = False, unknown=None) → dataclasses_json.mm.SchemaF[A]¶