Patent Description:
According to one aspect of the disclosure, a a diagnostic device is provided as defined in independent claim <NUM>. Alternative embodiments are defined by dependent claims <NUM> - <NUM>.

The following detailed description of the embodiments of the present disclosure will be better understood when read in conjunction with the appended drawings. For the purpose of illustration, there are shown in the drawings embodiments which are presently preferred. It is understood, however, that the invention is not limited to the precise arrangements and instrumentalities shown. In the drawings:.

According to aspects of the disclosure, an imaging system is disclosed that includes a diagnostic device and a catheter. The catheter may include a large number of electrodes (e.g., approximately <NUM>) that are coupled to the diagnostic device via switching circuitry. The catheter may be used to examine a patient's organ, such as a heart, lungs, or kidneys. The diagnostic device may be configured to focus the electrodes in the catheter on specific regions of interest in the patient's organ. Focusing the electrodes in the catheter may include one or more of, deactivating electrodes that are not in proximity to the regions of interest, activating additional electrodes that are in proximity to the regions of interest, and/or deactivating redundant electrodes that are situated in proximity to the regions of interest. Examples of different processes for activating and/or deactivating electrodes in a catheter in order to focus the electrodes in the catheter on specific regions of interest in a patient's organ are provided further below.

<FIG> is a diagram of a system <NUM> including a diagnostic device <NUM> that is coupled to a catheter <NUM>. In the present example, the catheter <NUM> is a lasso catheter. However, it will be understood that alternative implementations are possible in which the catheter <NUM> is any another suitable type of catheter, such as a basket catheter for example. In operation of the system <NUM>, a physician <NUM> may thread the catheter <NUM> through an artery or vein of a patient <NUM> to a destination which is desired to be examined with the catheter <NUM>, such as a particular organ of the patient. After the catheter <NUM> has reached its destination, the diagnostic device <NUM> may receive signals from electrodes and/or other sensors that are part of the catheter. The diagnostic device <NUM> may then amplify, filter, digitize, and combine those signals to generate a map of the patient's organ. The map may be a 2D image of the patient's organ, a 3D image of the patient's organ, and/or any other suitable type of electro-anatomic map of the patient's organ. The catheter <NUM> may be used to scan various organs of the patient <NUM>, such as the patient's lung, the patient's kidneys, and/or any suitable type of organ.

<FIG> is a schematic diagram of the system <NUM>, according to aspects of the disclosure. As illustrated, the diagnostic device <NUM> may include a memory <NUM>, a processor <NUM>, a connector receptacle <NUM>, and an input-output (I/O) device <NUM>. Any of the memory <NUM>, the connector receptacle <NUM>, and the I/O device <NUM> may be operatively coupled to the processor via a system bus or another similar device.

The memory <NUM> may include any suitable type of volatile or nonvolatile memory, such as random-access memory (RAM), a flash memory, a solid-state drive (SSD), a hard drive (HD), a dynamic random-access memory (DRAM), and/or erasable programmable read-only memory (EPROM). In some implementations, the memory <NUM> may store a data structure <NUM>. The data structure <NUM> may identify a list of electrodes in the catheter <NUM> that are currently active. According to the present disclosure, when an electrode is activated, one or more signals generated by the electrode in a subsequent scan of a patient's organ are used to generate a map of the patient's organ. According to the present disclosure, when an electrode is deactivated, signals generated by the electrode are not used to generate a map of the patient's organ when a scan of the organ is subsequently performed. The data structure <NUM> is discussed further below with respect to <FIG>.

The processor <NUM> may include one or more of a general-purpose processor (e.g., an x86 processor, a MIPS processor, a RISC processor, etc.), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), a complex programmable logic device (CPLD), a controller, and/or any other suitable type of processing circuitry. The connector receptacle <NUM> may include any suitable type of receptacle for receiving the connector <NUM> of the catheter <NUM>. The input/output device <NUM> may include one or more of a display, a touchpad, a mouse, a keyboard, a microphone, a camera, a printer, a speaker, and/or any other suitable type of I/O device.

The catheter <NUM> may include a connector <NUM>, electrodes <NUM>, temperature sensors <NUM>, position sensors <NUM>, and a switching circuitry <NUM>. The connector <NUM> may include any suitable type of connector for plugging the catheter <NUM> into the diagnostic device <NUM>. The electrodes <NUM> may include one or more mapping electrodes for measuring electro-cardiac signals at one or more respective contact points with the patient's heart tissue. Additionally or alternatively, in some implementations, the electrodes <NUM> may include one or more ablation electrodes and/or one or more electrodes that are capable of performing both mapping and ablation. The position sensors <NUM> may be disposed near a distal end of the catheter <NUM>. The position sensors <NUM> may interact with magnetic field generators <NUM> disposed under the patient <NUM> (shown in <FIG>) to generate electric signals indicating the position of the catheter <NUM>. In some implementations, such signals may be further used to detect the position (e.g., location and/or orientation) of individual electrodes in an organ that is being examined with the catheter <NUM>.

The switching circuitry <NUM> may include any suitable type of electronic device (or devices) that is configured to select electrodes in the catheter <NUM> and route signals generated by the selected electrodes to the diagnostic device <NUM>. In some implementations, the switching circuitry <NUM> may include one or more multiplexers that are arranged to form a switching fabric for addressing each (or at least some) of the electrodes <NUM> individually. Additionally or alternatively, in some implementations, the switching circuitry <NUM> may include one or more switches that are arranged to form a switching fabric for addressing each (or at least some) of the electrodes <NUM> individually. Stated succinctly, the present disclosure is not limited to any specific way for implementing the switching circuitry <NUM>.

<FIG> is schematic diagram of the catheter <NUM> showing its structure in further detail. Although in the present example, the catheter <NUM> is depicted as including only <NUM> electrodes, it will be understood that the catheter <NUM> may include any suitable number of electrodes (e.g. <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, <NUM>, etc.).

<FIG> is an example of a data structure <NUM> identifying a plurality of electrodes in the catheter that are currently active. The data structure may include a plurality of portions <NUM>. Each portion <NUM> may include a respective identifier <NUM> of a different one of the electrodes <NUM>, and a respective status identifier <NUM>, which indicates whether the electrode is active or inactive. As discussed above, when a given electrode is active, signals generated by the given electrode during a scan of an organ are used (by the processor <NUM> of the diagnostic device <NUM>) to generate a map of the organ. By contrast, when the given electrode is inactive, signals generated by the electrode are not used (by the processor <NUM> of the diagnostic device <NUM>) in generating the map of the organ.

In some implementations, the processor <NUM> of the diagnostic device <NUM> may retrieve the data structure <NUM> from the memory <NUM> to determine which electrodes <NUM> in the catheter <NUM> are currently active. Afterwards, the diagnostic device <NUM> may generate a map of an organ that is scanned with the catheter <NUM> based only on signals generated by electrodes that are currently active. In some implementations, the diagnostic device <NUM> may not sample electrodes that are identified as being inactive. Additionally or alternatively, in some implementations, the diagnostic device <NUM> may sample and subsequently ignore (or discard) signals generated by electrodes that are identified as being inactive when the map is generated. Although in the present example electrodes are activated and deactivated by modifying the data structure <NUM>, alternative implementations are possible in which inactive electrodes are enabled and disabled using the switching circuitry <NUM>. In such implementations, inactive electrodes may be disconnected from the processor <NUM> (or the connector <NUM>) using one or more switches that are part of the switching circuitry <NUM>. Such switches may lie on an electrical path between an electrode and the processor <NUM> (or connector <NUM>) and they may be configured to interrupt the electrical path when the electrode is disabled. The physical disconnecting of the inactive electrodes may be performed either in addition to or instead of the labeling of the inactive electrodes as such in the data structure <NUM> when the inactive electrodes are deactivated.

Although in the present example the data structure <NUM> is depicted as a table, the present disclosure is not limited to any specific way of implementing the data structure <NUM>. Furthermore, although in the present example the portions <NUM> of the data structure <NUM> are encapsulated in the same data structure, alternative implementations are possible in which each portion <NUM> is implemented as a separate data structure. Stated succinctly, the present disclosure is not limited to any specific way of storing a respective indication for each of the electrodes <NUM> that indicates whether the electrode is active or inactive.

Furthermore, in the present example each electrode <NUM> is identified in the data structure <NUM> by using an ID corresponding to the electrode. However, alternative implementations are possible in which each of the electrodes is identified using an ID corresponding to a particular channel on which signals from the electrode are received. Additionally or alternatively, in some implementations, each of the electrodes may be identified using one or more identifiers that indicate the position of the electrode in the catheter <NUM>. Additionally or alternatively, in some implementations, each of the electrodes can be identified using an address corresponding to the electrode that is used by the switching circuitry <NUM> to connect and/or disconnect the electrode <NUM> from the processor <NUM> (or connector <NUM>). Stated succinctly, the present disclosure is not limited to any specific way of referencing the electrodes <NUM> in the catheter <NUM>. The term identifier, as used throughout the specification, may refer to a number, a string, an alphanumerical string, and/or any other suitable type of identifier. By way of example, and depending on context, the term "signal" may refer to a waveform that is generated by an electrode and/or a digital representation of a characteristic of the waveform that is obtained by sampling and subsequently digitizing the waveform.

<FIG> shows an example of a functional electro-anatomic map <NUM> of the patient's heart that is generated by the system <NUM>. In the map <NUM>, local activation times are represented by different shading patterns. Superimposed over the map of the patient's heart is an image of the catheter <NUM>, which shows the orientation of the catheter <NUM> and the respective positions of the electrodes <NUM> in the patient's heart.

<FIG> is a flowchart of an example of a process for electro-anatomic mapping performed by the processor <NUM> of the diagnostic device <NUM>, according to aspects of the disclosure.

At step <NUM>, a first scan of an organ is performed using the catheter <NUM> and a first map of the organ (or portion thereof) is generated. In some implementations, scanning the organ may include obtaining ECG signals from the catheter, and processing those signals in a well-known fashion to produce the first map. In some implementations, the first map may be generated based only on data that is collected using only electrodes that are currently active. The first scan of the organ may be performed using a plurality of electrodes in the catheter that are currently active. In the present example, the organ that is scanned is the heart of patient <NUM> and the map is of a particular anatomical region in one of the heart chambers.

In some implementations, the set of electrodes that are currently active when the first map is generated may include all electrodes <NUM> that are available in the catheter <NUM>. Alternatively, in some implementations, the set of electrodes that are currently active when the map is generated may include only some of the electrodes <NUM>. Additionally or alternatively, in some implementations, the processor <NUM> may generate the first map by retrieving the data structure <NUM> to identify those electrodes that are currently active before the first scan of the organ is performed. In some implementations, performing the second scan may include identifying one or more of the electrodes <NUM> that are currently active based on the data structure <NUM>, obtaining one or more signals produced by the electrodes that are currently active, and generating the first map in a well-known fashion, based on the obtained signals.

At step <NUM>, the set of electrodes in the catheter <NUM> that are currently active is reduced by deactivating one or more of the electrodes that are currently active. The deactivated electrodes may include one or more of:.

In some implementations, electrodes that are in direct contact with the tissue of the patient's organ may be identified using a Tissue Proximity Indication (TPI) analysis or signal analysis. TPI, as implemented for example in the CARTO™ system. Additionally or alternatively, in some implementations, electrodes that are located in non-conductive areas of the patient's organ may be identified using signal characterization and model-based mapping. As discussed above, the processor <NUM> may deactivate a given electrode by updating the data structure <NUM> to indicate that the electrode is inactive. Additionally or alternatively, the processor <NUM> may deactivate a given electrode by causing the switching circuitry <NUM> to interrupt an electrical path between the electrode and the diagnostic device <NUM> (or connector <NUM>).

At step <NUM>, the set of electrodes in the catheter <NUM> that are currently active is fine-tuned by performing one or more of.

By way of example, in some implementations, an electrode may be considered to be positioned inside a region of interest of the patient's organ if the electrode is in direct contact with tissue corresponding to the region of interest. Additionally or alternatively, in some implementations, an electrode may be considered positioned within a threshold distance from a region of interest in the patient's organ if the electrode is within a threshold distance from the tissue of the region of interest. According to aspects of the disclosure, in some implementations, the processor <NUM> may activate a given electrode by modifying the data structure <NUM> to indicate that the electrode is active. Additionally or alternatively, in some implementations, the processor <NUM> may activate a given electrode by causing the switching circuitry <NUM> to close an electrical path connecting the electrode to the diagnostic device <NUM> and/or the connector <NUM>. Further examples of sub-processes for performing step <NUM> are provided further below with respect to <FIG>.

At step <NUM>, a second scan of an organ is performed and a second map of the patient's organ is generated as a result of the second scan. In some implementations, the second map may be generated by the processor <NUM> using only data that is obtained from electrodes in the catheter that are currently active when the second scan is performed. Additionally or alternatively, in some implementations, the processor may identify the electrodes that are currently active based on the data structure <NUM>.

At step <NUM>, the second map is output for presentation to a user by using the I/O device <NUM> of the diagnostic device <NUM>. In some implementations, outputting the map may include displaying at least a portion of the map on a display device, such as an LCD monitor. Additionally or alternatively, outputting the second map may include generating an audible signal (e.g., a speech signal or a tone) based on the second map. Additionally or alternatively, in some implementations, outputting the second map may include outputting diagnostic information that is generated based on the second map.

<FIG> is a flowchart of an example of a process <NUM> for fine-tuning the set of electrodes in the catheter <NUM> that are currently active, as discussed above with respect to step <NUM> of the process <NUM>.

At step <NUM>, a first data set is obtained using the electrodes in the catheter that are currently active. The first data set may include only data items that are generated by electrodes in the catheter <NUM> that are currently active. In some implementations, obtaining the first data set may include retrieving from the memory <NUM> one or more data items that are generated as a result of the first scan discussed with respect to step <NUM> of the process <NUM>. Additionally or alternatively, in some implementations obtaining the first data set may include retrieving from the memory <NUM> one or more data items that are generated as a result of another scan that is performed with the catheter <NUM> after step <NUM> of the process <NUM> is executed.

At step <NUM>, one or more regions of interest are identified and an activation index for each of the regions of interest is calculated. In some implementations, respective first activation index for any of the regions of interest may be calculated based on the first data set. Additionally or alternatively, in some implementations, identifying the regions of interest may include performing focal and rotational activation detection to identify areas of stable waves. In general, focal activation may be defined as early consecutive QS waves. Rotational activity may be described as micro-reentrant circuits of activation. Moreover, rotational activation may be defined as activation patterns which meet criteria including, but not limited to, head to tail distance, CL coverage, and temporal stability. When the detected electrical activation satisfies the algorithm criteria for focal or rotational activation patterns, the areas are marked as regions of interest (ROI). Additionally or alternatively, calculating the activation index for any of the regions of interest when the organ that is scanned is the heart of patient may include calculating the number of heart beats that demonstrates the focal or rotational activity. For example, if focal activation lasts for ten consecutive heart beats, the activation index would equal ten.

At step <NUM>, one or more regions of interest are identified that have borderline first activation indices. According to the present example, any of the first activation indexes may be considered borderline if it falls within a predetermined range.

At step <NUM>, one of the regions of interest having a borderline activation index is selected.

At step <NUM>, a currently-inactive electrode associated with the selected region of interest is activated, thereby increasing the set of electrodes in the catheter <NUM> that are currently active. In some implementations, the activated electrode may be one that is located within the region of interest. Additionally or alternatively, the activated electrode may be one that is located within a threshold distance of the region of interest. In some implementations, the electrode that is activated may be one that was active when the first map was generated (i.e., an electrode used in generating the first map). Additionally or alternatively, the electrode that is activated may be one that was inactive when the first map was generated (i.e., an electrode not used in generating the first map). According to aspects of the disclosure, in some implementations, the processor <NUM> may activate the electrode by modifying the data structure <NUM> to indicate that the electrode is active. Additionally or alternatively, in some implementations, the processor <NUM> may activate the electrode by causing the switching circuitry <NUM> to close an electrical path connecting the electrode to the diagnostic device <NUM> and/or the connector <NUM>.

At step <NUM>, a second data set is obtained using at least the electrodes in the selected region of interest that are currently active, and a second activation index for the region of interest is calculated using the second data set. In some implementations, the second data set may include only data items that are obtained from electrodes in the catheter <NUM> that are currently active. As can be readily appreciated, the set of electrodes that are currently active when step <NUM> is performed may include the electrode that is activated at step <NUM>. Additionally or alternatively, in some implementations, unlike the first data set, the second data set may include one or more data items that are generated using the electrode activated at step <NUM>. In some implementations, obtaining the second data set may include retrieving from the memory <NUM> one or more data items that are generated as a result of a scan that is performed with the catheter <NUM> after step <NUM> is executed.

At step <NUM>, an increase in the activation index of the selected region of interest is determined that results from the activation of the electrode at step <NUM>. In some implementations, the increase in the activation index may be determined by subtracting the first activation index of the selected region of interest from the second index of the select region of interest.

At step <NUM>, a determination is made if the increase is less than a threshold. If the increase is less than the threshold, the process <NUM> returns to step <NUM>, and steps <NUM>-<NUM> are repeated for another electrode that is currently inactive.

At step <NUM>, a determination is made if there are any other regions of interest in the patient's organ that have borderline activation indices and remain to be processed. If there are such regions of interest, the process <NUM> returns to step <NUM>, and steps <NUM>-<NUM> are repeated for another region of interest in the patient's organ.

At step <NUM>, one or more regions of interest are identified. In some implementations, each of the selected regions of interest may be identified based on the first data set, as discussed with respect to step <NUM> of the process <NUM>.

At step <NUM>, a respective first activation index and a respective first set of wave properties are calculated for each of the regions of interest. In some implementations, the respective first activation index and the respective first set of wave properties for any of the regions of interest may be calculated based on the first data set. In some implementations, the plurality of regions of interest may be identified as discussed above with respect to step <NUM> of the process <NUM>. Additionally or alternatively, in some implementations, the respective first activation index of any of the regions of interest may be identified as discussed above with respect to step <NUM> of the process <NUM>. Additionally or alternatively, in some implementations, the respective first set of wave properties of any of the regions of interest may include parameters including, but not limited to, conduction velocity, special morphology sequence, and special morphology shape.

At step <NUM>, one or more regions of interest are identified that have respective first indices that are greater than an activation index threshold.

At step <NUM>, one of the regions of interest is selected that has an activation index that is greater than the activation index threshold.

At step <NUM>, one or more active electrodes associated with the selected region of interest are deactivated. Step <NUM> is discussed further below with respect to <FIG>.

At step <NUM>, a determination is made if there are any other regions of interest in the patient's organ whose activation indices exceed the activation index threshold, and which remain to be processed. If there are such electrodes, the process <NUM> returns to step <NUM>, and steps <NUM>-<NUM> are repeated for another region of interest in the patient's organ.

<FIG> is a flowchart of an example of a process <NUM> for identifying and deactivating electrodes that are associated with a selected region of interest, as discussed with respect to step <NUM> of the process <NUM>. In some implementations, executing the process <NUM> may result in electrodes associated with the selected region of interest that have the least effect on the operation of the catheter <NUM> becoming deactivated.

At step <NUM>, an electrode in the catheter <NUM> that is currently active is selected. The selected electrode may be one that is associated with the particular region of interest. More particularly, in some implementations, the electrode may be one that is located in the selected region of interest. Additionally or alternatively, in some implementations, the electrode may be one that is located within a predetermined distance from the selected region of interest.

At step <NUM>, the selected electrode is deactivated. In some implementations, deactivating the selected electrode may include updating the data structure to indicate the selected electrode is inactive. As discussed above, the processor <NUM> may deactivate a given electrode by updating the data structure <NUM> to indicate that the electrode is inactive. Additionally or alternatively, the processor <NUM> may deactivate a given electrode by causing the switching circuitry <NUM> to interrupt an electrical path between the electrode and the diagnostic device <NUM> (or connector <NUM>).

At step <NUM>, a second data set is obtained using at least the electrodes in the selected region of interest that are currently active. In some implementations, the second data set may include only data items that are generated by electrodes in the catheter that are currently active. As a result, unlike the first data set, the second data set may not include data items generated by the electrode that is deactivated at step <NUM>.

At step <NUM>, a second activation index and a second set of wave properties are calculated for the selected region of interest based on the second data set. In some implementations, the respective first activation index of any of the regions of interest may be identified as discussed above with respect to step <NUM> of the process <NUM>. The respective first set of wave properties of any of the regions of interest may include at least one of conduction velocity of propagation action potential impulse(s) across the tissue of the selected region of interest, and/or direction of propagation of the action potential impulse(s).

At step <NUM>, a decrease in the performance of the catheter <NUM> is determined that results from the deactivation of the electrode at step <NUM>. In some implementations, the decrease in performance may be determined based on a metric that is calculated using at least some of the first activation index of the region of interest, the first set of wave properties of the region of interest, the second activation index of the selected region of interest, the second set of wave properties of the selected region of interest. The metric may be a number, a string, and/or any other suitable type of alphanumerical string. In some implementations, the metric may be determined based on one or more of.

Additionally or alternatively, in some implementations the metric may be determined by using a fuzzy logic algorithm to compare the first activation index and the first set of wave properties of the selected region of interest to the second activation index and the second set of wave properties of the selected region of interest.

At step <NUM>, a determination is made whether the decrease in the performance is less than a threshold. In some implementations, the determination may be made by the processor <NUM> comparing the metric calculated at step <NUM> to a threshold value that is pre-stored in the memory <NUM>. If the decrease in performance is greater than a threshold, the process proceeds to step <NUM>. Otherwise, the process proceeds to step <NUM>.

At step <NUM>, the electrode that is deactivated at step <NUM> is reactivated. According to aspects of the disclosure, in some implementations, the processor <NUM> may activate the electrode by modifying the data structure <NUM> to indicate that the electrode is active. Additionally or alternatively, in some implementations, the processor <NUM> may activate the electrode by causing the switching circuitry <NUM> to close an electrical path connecting the electrode to the diagnostic device <NUM> and/or the connector <NUM>.

At step <NUM>, a determination is made whether a predetermined number of electrodes associated with the region of interest have been tested. The predetermined number of electrodes may include all electrodes that are located in the region of interest, and/or any other suitable number of electrodes that are located within a predetermined distance from the region of interest. If the predetermined number of electrodes have been tested, the process <NUM> ends. Otherwise, the process <NUM> returns to step <NUM> and steps <NUM>-<NUM> are repeated for another electrode in the selected region of interest.

Although in the example of the process <NUM>, only one electrode is deactivated/re-activated during each iteration, alternative implementations are possible in which multiple electrodes are deactivated/re-activated. Furthermore, it will be understood that the process <NUM> is provided only as an example of many possible ways for identifying electrodes in a region of interest that have the least effect on the performance of a catheter and deactiating those electrodes.

For example, in some implementations, the electrodes in the selected region of interest that are deactivation may be selected by: (i) identifying a plurality of different sets of electrodes in the selected region of interest, each set of electrodes including one or more electrodes, (ii) determining the effect which disabling each set of electrodes has on the performance of the catheter <NUM>, (iii) selecting one of the electrode sets based on the effect which its deactivation has on the performance of the catheter <NUM>, and (iv) deactivating the selected set of electrodes. In some implementations, the selected set of electrodes may be the largest set of electrodes which when disabled allows the performance of the catheter to remain above a performance threshold. In some implementations, the effect which disabling each of the sets of electrodes has on the performance of the catheter may be performed by deactivating each set of electrodes, determining the effect which disabling the set of electrodes has on the performance of the catheter <NUM>, and reactivating the deactivated set of electrodes to test another one of the sets. The effect which disabling a particular set of electrodes has on the operation of the catheter may be determined as discussed with respect to step <NUM> of the process <NUM>.

<FIG> are provided as an example only. At least some of the elements discussed with respect to these figures can be arranged in different order, combined, and/or altogether omitted. It will be understood that the provision of the examples described herein, as well as clauses phrased as "such as," "e.g.", "including", "in some aspects," "in some implementations," and the like should not be interpreted as limiting the disclosed subject matter to the specific examples.

The methods or flow charts provided herein can be implemented in a computer program, software, or firmware incorporated in a non-transitory computer-readable storage medium for execution by a general-purpose computer or a processor. Examples of non-transitory computer-readable storage mediums include a ROM, a random-access memory (RAM), a register, cache memory, semiconductor memory devices, magnetic media such as internal hard disks and removable disks, magneto-optical media, and optical media such as CD-ROM disks, and digital versatile disks (DVDs).

Claim 1:
A diagnostic device (<NUM>), comprising:
an output device (<NUM>); and
at least one processor (<NUM>) operatively coupled to the output device (<NUM>), the at least one processor (<NUM>) being configured to:
perform a first scan of a heart using a set of electrodes (<NUM>) in a catheter (<NUM>) that are currently active;
deactivate one or more of the electrodes (<NUM>) in the set that are not in physical contact with tissue of the organ that is part of one or more regions of interest in the organ or that are associated with one or more non-conductive regions of the organ based on data that is collected as a result of the first scan;
tune the set by activating one or more electrodes in the catheter (<NUM>) that are inactive, wherein tuning the set includes:
identifying a region of interest in the heart having an activation index that falls within a predetermined range, wherein identifying the region of interest includes performing focal and rotational activation detection, wherein the activation index is the number of heartbeats that demonstrate the focal or rotational activation; and
activating a first electrode in the catheter when activating the first electrode causes the activation index of the region of interest to be increased;
perform a second scan of the heart using electrodes (<NUM>) in the set that are currently active after the tuning is performed, and generating a map (<NUM>) of the heart based only on data collected as a result of the second scan; and
output the map (<NUM>) of the heart using the output device (<NUM>).